JP7260263B2 - Information processing device, information processing method, and information processing program - Google Patents

Description

The present invention relates to an information processing device, an information processing method, and an information processing program.

Conventionally, various techniques have been provided for providing advertisements to users, such as advertisement output. For example, navigation technology is provided that allows advertisements to be easily created and delivered. Such a navigation system creates a voice advertisement from simple form information entered and plays the voice advertisement on a navigation device at a given location.

JP-A-2009-47793 JP-A-2003-99671 JP-A-2008-21303 Japanese Patent No. 5086421

However, the conventional technology described above does not always enable appropriate execution of processing related to advertisement output. For example, simply reproducing the voice advertisement on the navigation device does not take into account the user's situation, and the timing of outputting the advertisement may not be appropriate for the user. Thus, there is a problem that the advertisement output timing may not be determined appropriately. Moreover, in such advertisement output, there is a problem that it is difficult to appropriately supplement the effect of the output advertisement. Moreover, there is a problem that it may be difficult to appropriately complement the effect of not only the advertisement output but also the advertisement.

The present application has been made in view of the above, and an object thereof is to provide an information processing apparatus, an information processing method, and an information processing program that enable appropriate execution of processing related to advertisement output.

An information processing apparatus according to the present application includes an acquisition unit configured to acquire position information about a user and context information indicating the user's situation, and based on the position information and the context information acquired by the acquisition unit, the and a decision unit that decides the output timing of the advertisement to the user by means of voice output means having a predetermined relationship with the user.

According to one aspect of the embodiment, there is an effect that it is possible to appropriately execute processing related to advertisement output.

FIG. 1 is a diagram illustrating an example of information processing according to an embodiment. FIG. 2 is a diagram illustrating a configuration example of an information processing system according to the embodiment; FIG. 3 is a diagram illustrating a configuration example of an information processing apparatus according to the embodiment; 4 is a diagram illustrating an example of a user information storage unit according to the embodiment; FIG. 5 is a diagram illustrating an example of a store information storage unit according to the embodiment; FIG. 6 is a diagram illustrating an example of an advertisement information storage unit according to the embodiment; FIG. 7 is a diagram illustrating an example of a determination information storage unit according to the embodiment; FIG. 8 is a diagram illustrating an example of an action information storage unit according to the embodiment; FIG. FIG. 9 is a flowchart illustrating an example of information processing according to the embodiment; FIG. 10 is a flowchart illustrating an example of information processing according to the embodiment; FIG. 11 is a diagram illustrating an example of information processing according to the embodiment; FIG. 12 is a hardware configuration diagram showing an example of a computer that implements the functions of the information processing apparatus.

Hereinafter, modes for implementing an information processing apparatus, an information processing method, and an information processing program (hereinafter referred to as "embodiments") according to the present application will be described in detail with reference to the drawings. The information processing apparatus, information processing method, and information processing program according to the present application are not limited to this embodiment. Also, in each of the following embodiments, the same parts are denoted by the same reference numerals, and overlapping descriptions are omitted.

(embodiment)
[1. information processing]
First, an example of information processing according to the embodiment will be described with reference to FIG. FIG. 1 is a diagram illustrating an example of information processing according to an embodiment. The example of FIG. 1 shows a case where the information processing apparatus 100 determines the timing of outputting an advertisement according to the location of the user, the user's context (hereinafter also referred to as "situation"), and the location of the store. Further, the example of FIG. 1 shows a case where an advertisement is output by voice from the user terminal 10 used by the user based on the output timing determined by the information processing apparatus 100 . As long as the store sells products and provides services, it may be in the form of a store in real estate such as a building, or in the form of a mobile store that is integrated with a predetermined mobile object such as a car. There may be. That is, the store referred to here may be a store with a fixed position (address) or a store with a variable position (location).

The context here is, for example, information indicating the situation of the user using the user terminal 10 . For example, the context means the situation around the user terminal 10 estimated based on the situation of users located around the user terminal 10 and the environment (background) around the user terminal 10 . Note that in the example of FIG. 1, two users' situations, that is, whether users around the user terminal 10 are speaking or are not speaking are described as an example of the context, but the context is not limited to speech, There may be different contexts, which will be discussed later.

In addition, in the example of FIG. 1, the information processing apparatus 100 shows, as an example, a case where the effect of the advertisement output to the user is determined based on the behavior of the user after being exposed to the advertisement. Specifically, the information processing apparatus 100 determines whether or not the user has performed a predetermined action related to the advertisement after coming into contact with the advertisement. I judge that. Advertisements are not limited to advertisements that are output as audio, and may be advertisements of various types including images, video (moving images), etc., which will be described later.

[Configuration of information processing system]
Prior to the description of FIG. 1, the configuration of the information processing system 1 will be described with reference to FIG. FIG. 2 is a diagram illustrating a configuration example of an information processing system according to the embodiment; As shown in FIG. 2 , the information processing system 1 includes a user terminal 10 , a store terminal 20 and an information processing device 100 . The user terminal 10, the store terminal 20, and the information processing device 100 are connected via a predetermined network N so as to be communicable by wire or wirelessly. The information processing system 1 shown in FIG. 2 may include a plurality of user terminals 10, a plurality of store terminals 20, and a plurality of information processing apparatuses 100. FIG.

The user terminal 10 is a terminal device (information processing device) used by a user. The user terminal 10 may be any terminal device as long as it can output advertisements and can move with the user. When the advertisement is a voice advertisement, the user terminal 10 may be a mobile terminal (terminal device) having a speaker (audio output unit) as voice output means. The user terminal 10 is implemented by, for example, a smart speaker, a smart phone, a tablet terminal, a notebook PC (Personal Computer), a mobile phone, a PDA (Personal Digital Assistant), or the like. For example, if the advertisement to be output is only audio, the user terminal 10 may be headphones, earphones, or the like.

FIG. 1 shows the case where the user terminal 10 is a smart speaker. For example, the user terminal TM1-1, which is the user terminal 10, corresponds to the user terminal 10 used by the user U1 shown in FIG. Thus, when "user U* (* is an arbitrary number)" is written, it indicates that the user is identified by the user ID "U*". For example, when "user U1" is described, the user is identified by the user ID "U1".

Also, the user terminal 10 identified by the terminal ID "TM1-1" is the user terminal 10 used by the user U1, and may be described as the user terminal TM1-1 as described above. Also, for example, the user terminal 10 identified by the terminal ID "TM1-5" is the user terminal 10 used by the user U5 and may be referred to as the user terminal TM1-5. In this way, when each user terminal 10 is to be distinguished and explained, the terminal ID (such as TM1-1) is added to the end of "user terminal". Each user terminal 10 is simply referred to as "user terminal 10" when it is described without particular distinction.

Also, hereinafter, the user terminal 10 used by the user and the user may be read interchangeably. For example, "user U1" may be read as "user terminal TM1-1" which is the user terminal 10 used by user U1. When "user terminal TM1-1" is written, it may be read as "user U1" who uses the user terminal TM1-1.

The user terminal 10 also collects information detected by various sensors (hereinafter also referred to as "sensor information"). The user terminal 10 comprises a sensor section including various sensors. Also, the user terminal 10 has a function of a position sensor such as a GPS (Global Positioning System) sensor, and is capable of detecting and acquiring the position of the user. Also, the user terminal 10 may estimate and acquire the user's position information using the position information of the base station with which it is communicating and the radio waves of Wi-Fi (registered trademark) (Wireless Fidelity). In addition, below, position information may be simply described as a "position."

The user terminal 10 also has a sound sensor such as a microphone that detects sound. For example, the user terminal 10 detects the user's speech around the user terminal 10 using a sound sensor. For example, the user terminal 10 may be a device (voice assist terminal) that detects ambient sounds and performs various processes according to the detected sounds. For example, the user terminal 10 is a terminal device that processes a user's speech. For example, the user terminal 10 collects not only user's utterances but also environmental sounds around the user terminal 10 . Note that the user terminal 10 may have various sensors without being limited to the above. For example, the user terminal 10 includes various sensors such as an acceleration sensor, a gyro sensor, a temperature sensor, a humidity sensor, an illuminance sensor, a pressure sensor, a proximity sensor, and sensors for acquiring biological information such as odors, sweat, heartbeats, pulses, and brain waves. sensors. Then, the user terminal 10 may transmit various sensor information detected by various sensors to the information processing device 100 .

Also, the user terminal 10 may have a voice recognition function. Also, the user terminal 10 may be able to acquire information from a speech recognition server that provides speech recognition services. In this case, the information processing system 1 may include a speech recognition server. Note that, in the example of FIG. 1, the user terminal 10 and the speech recognition server appropriately use various conventional techniques to recognize the user's utterance and estimate the uttered user, and therefore description thereof will be omitted as appropriate.

Also, the user terminal 10 may have an image sensor or the like. For example, the user terminal 10 has various functions such as an infrared sensor, a human sensor, a temperature sensor, and an atmospheric pressure sensor, and can detect and acquire sensor information related to the environment around the user terminal 10, such as temperature and atmospheric pressure. There may be. Also, the user terminal 10 transmits various information and the like to the information processing apparatus 100 . For example, the user terminal 10 transmits various sensor information such as position information about the user to the information processing device 100 .

The store terminal 20 is an information processing device used by the manager of each store. For example, the manager of the store SP1, which is the A hamburger store, uses the store terminal 20 to transmit and receive information to and from the information processing device 100 . For example, the manager of the store SP1 uses the store terminal 20 to send advertisements to the information processing apparatus 100 and information indicating whether or not an information request is required. Also, the shop terminal 20 receives information from the information processing device 100 . For example, the store terminal 20 is realized by a smart phone, a tablet terminal, a notebook PC, a desktop PC, a mobile phone, a PDA, or the like.

The information processing apparatus 100 performs information processing for determining the timing of outputting an advertisement to a user by audio output means (speakers, etc.) having a predetermined relationship with the user, based on position information about the user and context information indicating the user's situation. It is a device. That is, the information processing device 100 is a determination device that determines the output timing of the advertisement for the user. The information processing apparatus 100 also determines an advertisement to be provided (distributed) to the user terminal 10 of the user, and provides (distributes) the advertisement to the user terminal 10 so that the advertisement is output at the determined output timing.

Further, the information processing apparatus 100 is an information processing apparatus that determines whether or not the user performs a predetermined action due to the advertisement based on the action information after the user comes into contact with the advertisement. That is, the information processing device 100 is a determination device that determines whether or not the advertisement is effective.

The information processing system 1 may also include an information providing device that provides various information to the information processing device 100 and the like, although illustration is omitted. For example, the information providing device is an information processing device that provides the information processing device 100 with open data, which is data that is permitted to be widely used. For example, the information providing device may be an information processing device that is managed by each local government and provides the data owned by the local government to the outside as open data. Further, for example, the information providing device may be various information processing devices such as a server managed by the Japan Meteorological Agency. The information providing device is not limited to the above, as long as it is permitted to use data (information), open data related to traffic such as road information, open data related to weather such as weather and temperature, geospatial information, disaster prevention / mitigation Various open data such as information, procurement information, statistical information, etc. may be provided. The information processing device 100 may acquire various information from the information providing device.

From here, the flow of information processing will be described using FIG. FIG. 1 is a diagram illustrating an example of information processing according to an embodiment. Specifically, FIG. 1 is a diagram showing an example of information processing including determination processing for determining the output timing of advertisements and determination processing for determining the effectiveness of advertisements. With reference to FIG. 1, the processing of determining the advertisement and the timing of outputting the advertisement will be described first, and then the processing of determining the effectiveness of the advertisement will be described.

The example of FIG. 1 shows a case where a user U1 and a user U2 are in a moving object C1, which is an automobile indicated in the map information MP1, and are moving. Also, FIG. 1 shows a case where a user terminal TM1-1 used by a user U1 is arranged in the mobile object C1. The user terminal TM1-1 may be an in-vehicle smart speaker. The user terminal TM1-1 detects sensor information from various sensors and transmits it to the information processing apparatus 100. FIG. For example, the user terminal TM1-1 detects the utterances of the user U1 and the user U2 inside the mobile object C1 by means of a sound sensor, and transmits the utterances to the information processing apparatus 100. FIG. Also, the user terminal TM1-1 transmits the position information detected by the position sensor to the information processing apparatus 100. FIG. In the example of FIG. 1, the position information is illustrated by abstract codes such as position information LC1-1, but the position information may be information indicating specific latitude and longitude (latitude and longitude information). good. Also, hereinafter, "position information LC* (* is a character string such as an arbitrary number)" may be referred to as "position LC*". For example, "position LC1-1" indicates that the position corresponds to the position information LC1-1.

In the example of FIG. 1, the information processing apparatus 100 acquires the user's utterance information (behavior information) detected by the user terminal TM1-1 from the user terminal TM1-1, as shown in the behavior information storage unit 125. FIG. “User ID” shown in the action information storage unit 125 in FIG. 1 indicates identification information for identifying the user. “Action ID” shown in the action information storage unit 125 in FIG. 1 indicates information for identifying the action of the user. "Type" shown in the behavior information storage unit 125 in FIG. 1 indicates information about the type of corresponding user's behavior. The "content" shown in the action information storage unit 125 in FIG. 1 indicates the content targeted in the action of the corresponding user. "Date and time" shown in the action information storage unit 125 in FIG. 1 indicates the date and time when the corresponding user action was performed.

In the example of FIG. 1, the information processing apparatus 100, as shown in the behavior information storage unit 125, transmits information indicating that the user U1 made an utterance with content "XXXXXXX" on the date and time dt1-1 from the user terminal TM1-1. get. The content "XXXXXX" is assumed to be specific content such as "What should we have for lunch?" Further, as shown in the behavior information storage unit 125, the information processing apparatus 100 acquires from the user terminal TM1-1 information indicating that the user U2 made an utterance such as "YYYYYY" on the date and time dt1-1. The content "YYYYYY" is assumed to be a specific content such as "anything is fine" or "something different is fine". The information processing apparatus 100 may determine (estimate) the user who has made the utterance by appropriately using various conventional techniques. For example, the information processing apparatus 100 may determine (estimate) the user who made the utterance by using the user's utterance and the voice stored in the user information storage unit 121 (see FIG. 4) or the like. For example, the information processing apparatus 100 compares the voice information of the user's utterance with the voice information of each user stored in the user information storage unit 121 to determine (estimate) the user who made the utterance. good. Further, the information processing apparatus 100 may acquire information identifying the user who has made the speech from the user terminal TM1-1 together with the speech information. In the example of FIG. 1, for the sake of simplicity, the dates and times when the user U1 and the user U2 spoke are both indicated as date and time dt1-1. shall be assumed.

For example, the user terminal TM1-1 may appropriately use various techniques related to speech recognition to convert voice information such as detected utterances into text information, and transmit the text information to the information processing apparatus 100. FIG. Further, the user terminal TM1-1 transmits the detected voice information (user's utterance, etc.) to the voice recognition server, acquires character information of the voice information (user's utterance, etc.) from the voice recognition server, can be sent to Further, the information processing apparatus 100 may acquire character information of voice information (user's utterance, etc.) from a voice recognition server, or the information processing apparatus 100 may be a voice recognition server. In addition, the information processing apparatus 100 analyzes character information obtained by converting voice information such as utterance by appropriately using natural language processing technology such as morphological analysis, thereby estimating (identifying) the contents of the utterance and the user's situation. may

Incidentally, as shown in FIG. 1, the position LC1-1 of the user terminal TM1-1 at the date and time dt1-1 is outside the range AR1 described later. That is, in the example of FIG. 1, the position LC1-1 of the mobile object C1 at the date and time dt1-1 is outside the range AR1. In the example of FIG. 1, the position LC1-1 of the user U1 of the mobile object C1 at the date and time dt1-1 is outside the range AR1.

Then, in the example of FIG. 1, the position of the moving body C1 moves from the position LC1-1 to the position LC1-2. For example, the moving object C1 moves to the position LC1-2 due to driving by the user U1. After that, the user terminal TM1-1 transmits to the information processing apparatus 100 sensor information indicating the position LC1-2 detected by the position sensor. As a result, the information processing apparatus 100 acquires position information from the user terminal TM1-1 (step S11). In the example of FIG. 1, the information processing apparatus 100 acquires position information (sensor information) indicating the position LC1-2 from the user terminal TM1-1 at a date and time later than the date and time dt1-1 (for example, the date and time dt1-2). do. In this way, the information processing apparatus 100 determines that the position of the user U1 using the user terminal TM1-1 is the position LC1- 2 is obtained.

The user terminal TM1-1 may transmit various information such as positional information to the information processing apparatus 100 in real time each time it detects its position or the like, or may transmit various information such as positional information to the information processing apparatus 100 at predetermined intervals (for example, every 5 minutes). , various information such as position information may be transmitted to the information processing apparatus 100 . Also, the user terminal TM1-1 may transmit location information together with the user's action information.

Then, the information processing device 100 determines an advertisement (step S12). The information processing apparatus 100 determines an advertisement based on the user's position and advertisement distribution conditions (advertisement distribution conditions). In the example of FIG. 1, the information processing apparatus 100 distributes to the user terminal TM1-1 used by the user U1 based on the position LC1-2 of the user U1 and each advertisement distribution condition shown in the advertisement information storage unit 123, Decide which advertisements to output.

“Advertisement ID” shown in the advertisement information storage unit 123 in FIG. 1 indicates identification information for identifying advertisements. "Advertisement" shown in the advertisement information storage unit 123 in FIG. 1 indicates a specific advertisement. "Advertiser ID" indicates identification information for identifying an advertiser. “Distribution history” shown in the advertisement information storage unit 123 in FIG. 1 indicates the distribution history (output history) of the advertisement identified by the advertisement ID.

The “advertisement distribution condition” shown in the advertisement information storage unit 123 in FIG. 1 indicates the distribution condition (output condition) of the advertisement identified by the advertisement ID. The "advertisement delivery condition" includes items such as "range", "time period", "number of times", and "output timing". Note that the "advertisement delivery conditions" are not limited to the above, and may include various items related to the advertisement delivery conditions such as "user attributes". “Range” indicates a target range for distributing (outputting) the advertisement identified by the advertisement ID. The “time period” indicates the time period during which the advertisement identified by the advertisement ID is to be distributed (output). “Number of times” indicates the number of times the advertisement identified by the advertisement ID is distributed (output). “Output timing” indicates the timing of outputting the advertisement identified by the advertisement ID.

In the example shown in FIG. 1, the advertisement identified by the advertisement ID "AD1" (hereinafter sometimes referred to as "advertisement AD1") indicates that the advertisement content is "CT1". The advertiser of the advertisement AD1 is the store SP1. Advertisement AD1 shall be an advertisement about A hamburger shop which is shop SP1. Moreover, it shows that the delivery history of advertisement AD1 is delivery history DH1. The condition regarding the range of advertisement AD1 indicates that it is range AR1. The range AR1 is assumed to be within a radius of 1 km from the store SP1 corresponding to the advertisement AD1. Note that the range AR1 may be realized by various conventional techniques such as a geofence.

Moreover, the condition regarding the time period of the advertisement AD1 indicates that it is the time period TM1. It is assumed that the time period TM1 is from 10:00 to 14:00. Note that the conditions regarding the time period of each advertisement may be determined according to the target of the advertisement or the category (type of business) of the advertiser. For example, when the advertiser's category is fast food, the information processing apparatus 100 may determine a time slot corresponding to lunch time (for example, 10:00 to 15:00) as a time slot condition. That is, the information processing apparatus 100 may determine the advertisement and the output timing of the advertisement in consideration of the relationship between the type of business of the advertiser and the time. If the advertiser's business type is food and drink, the information processing apparatus 100 determines the output timing of the advertisement only during meal times (7:00 to 9:00, 11:00 to 13:00, 19:00 to 21:00, etc.). good too.

Also, the condition regarding the number of advertisements AD1 indicates that the number of advertisements is NM1. The number of times NM1 is X times/day, that is, the upper limit of the number of advertisement distribution times per day is X times (for example, 1000 times). Note that the conditions regarding the number of advertisements may be determined according to an advertisement budget or the like.

Moreover, the output timing of the advertisement AD1 indicates that the speech is stopped. In other words, the advertisement AD1 is an advertisement that is to be output when the user's speech stops and the user's conversation ceases.

For example, the information processing device 100 determines advertisements based on advertisement delivery conditions. In the example of FIG. 1, the information processing apparatus 100 determines an advertisement that satisfies the advertisement distribution conditions regarding range, time period, and number of times as an advertisement to be output to the user terminal TM1-1.

For example, the information processing device 100 determines whether the advertisement distribution condition regarding the range is satisfied based on the position of the user U1. For example, when the position LC1-2 of the user U1 is located within the area of the range AR1, the information processing apparatus 100 determines that the advertisement distribution condition regarding the range of the advertisement AD1 is satisfied. For example, the information processing device 100 determines whether or not the advertisement distribution condition regarding the range of the advertisement AD1 is satisfied based on the position LC1-2 of the user U1 and the position LC2-1 of the store SP1. The information processing apparatus 100 compares the position LC1-2 of the user U1 and the position LC2-1 of the store SP1 to determine whether the advertisement distribution condition regarding the range of the advertisement AD1 is satisfied. The information processing apparatus 100 calculates the distance between the position LC1-2 of the user U1 and the position LC2-1 of the store SP1, thereby determining whether the advertisement distribution condition regarding the range of the advertisement AD1 is satisfied. In this case, the information processing apparatus 100 determines that the advertisement distribution condition regarding the range of the advertisement AD1 is satisfied when the calculated distance between the user U1 and the store SP1 is equal to or less than the radius of the range AR1. For example, when the calculated distance between the user U1 and the store SP1 is within 1 km, the information processing apparatus 100 determines that the advertisement distribution condition regarding the range of the advertisement AD1 is satisfied. In the example of FIG. 1, the information processing apparatus 100 determines that the advertisement distribution condition regarding the range of the advertisement AD1 is satisfied because the position LC1-2 of the user U1 is within the range AR1.

Further, the information processing apparatus 100 determines whether or not the advertisement distribution condition regarding the time period is satisfied based on the time when the advertisement is determined. For example, the information processing apparatus 100 determines whether or not the advertisement distribution condition regarding the time period of the advertisement AD1 is satisfied based on the time when the advertisement is determined and the time period TM1 included in the distribution condition of the advertisement AD1. The information processing apparatus 100 compares the time when the advertisement is determined with the time period TM1 included in the distribution conditions of the advertisement AD1, thereby determining whether the advertisement distribution conditions regarding the time period of the advertisement AD1 are satisfied. The information processing apparatus 100 determines that the advertisement distribution condition regarding the time period of the advertisement AD1 is satisfied when the time when the advertisement is determined is included in the time period TM1 included in the distribution conditions of the advertisement AD1. In the example image of FIG. 1, the information processing apparatus 100 assumes that the time when the advertisement is decided is 11:00, which is included in the time period TM1. Therefore, the information processing apparatus 100 determines that the advertisement distribution condition regarding the time period of the advertisement AD1 is satisfied.

Further, the information processing apparatus 100 determines whether or not the advertisement distribution condition regarding the number of times is satisfied based on the distribution history of the advertisement. For example, the information processing device 100, based on the number of times of distribution (output) based on the distribution history DH1 of the advertisement AD1 (hereinafter referred to as "output count ON1") and the number of times NM1 included in the distribution conditions of the advertisement AD1, the advertisement It is determined whether or not the advertisement distribution condition regarding the number of times of AD1 is satisfied. For example, the information processing apparatus 100 determines whether the advertisement distribution condition regarding the number of advertisements AD1 is satisfied based on the number of times ON1 of output on the date when the advertisement is determined and the number of times NM1 included in the distribution condition of the advertisement AD1. The information processing apparatus 100 compares the number of outputs ON1 with the number of times NM1 included in the distribution condition of the advertisement AD1 to determine whether the advertisement distribution condition regarding the number of times of the advertisement AD1 is satisfied. When the output count ON1 is less than the count NM1 included in the distribution condition of the advertisement AD1, the information processing apparatus 100 determines that the advertisement distribution condition regarding the count of the advertisement AD1 is satisfied. In the example image of FIG. 1, the information processing apparatus 100 assumes that the output count ON1 is less than the count NM1 and is included in the delivery conditions for the advertisement AD1. Therefore, the information processing apparatus 100 determines that the advertisement distribution condition regarding the number of advertisements AD1 is satisfied.

As described above, in the example of FIG. 1, the information processing apparatus 100 determines that the advertisement AD1 satisfies the advertisement distribution conditions regarding the range, time period, and number of times. Therefore, the information processing apparatus 100 determines that the advertisement to be output to the user terminal TM1-1 is the advertisement AD1.

Then, the information processing device 100 determines the situation of the user U1 (step S13). The information processing apparatus 100 determines the situation (context) of the user U1 based on sensor information or the like detected by a predetermined sensor. The information processing apparatus 100 determines the situation of the user U1 based on sensor information such as speech information detected by the user terminal TM1-1. In the example of FIG. 1, since the utterance information of users U1 and U2 has not been acquired after acquiring the utterance information of users U1 and U2 at date and time dt1-1 from user terminal TM1-1, information processing apparatus 100 The situation of U1 is determined as no speech. That is, the information processing apparatus 100 determines that the situation in the moving body C1 in which the user terminal TM1-1 is located is that speech is stopped. Also, for example, the information processing apparatus 100 generates context information CN1 indicating that the user U1 is not speaking.

Then, the information processing device 100 determines the output timing of the advertisement AD1 (step S14). For example, the information processing device 100 determines the output timing of the advertisement AD1 based on the situation of the user U1 and the output timing of the advertisement AD1. For example, the information processing device 100 determines the output timing of the advertisement AD1 based on the comparison between the situation of the user U1 and the output timing of the advertisement AD1.

In the example of FIG. 1 , the information processing apparatus 100 compares the context information CN1 indicating that the user U1 is not speaking with the condition of the output timing of the advertisement AD1, "stopping speech". determines the output timing of The information processing apparatus 100 determines that it is the output timing of the advertisement AD1 because the situation in which the user U1 does not speak satisfies the condition of the output timing of the advertisement AD1 "while speaking". The information processing device 100 then distributes the advertisement AD1 to the user terminal TM1-1 (step S15).

The user terminal TM1-1 that has received the advertisement AD1 from the information processing device 100 outputs the advertisement AD1 (step S16). For example, the user terminal TM1-1 voice-outputs an advertisement AD1, which is a voice advertisement. In the example of FIG. 1, the user terminal TM1-1 voice-outputs an advertisement AD1 regarding the store SP1, which is the A hamburger store. For example, the user terminal TM1-1 voice-outputs an advertisement AD1 such as "A hamburger store is ahead" or "AA burger new release". Note that the advertisement AD1 may be any advertisement as long as it is an advertisement regarding the store SP1, which is the A hamburger store. For example, the advertisement AD1, which is a voice advertisement, may be any voice information as long as it reminds the user of A hamburger restaurant. For example, the advertisement AD1 may be audio information such as a jingle or a sound logo corresponding to A hamburger restaurant.

In this way, the information processing apparatus 100 appropriately determines the advertisement to be output to the user by determining the advertisement to be output to the user U1 based on the position of the user U1 and the distribution conditions of each advertisement. be able to. Further, the information processing apparatus 100 determines the timing of outputting an advertisement to the user U1 from the user terminal TM1-1 used by the user U1 based on the position of the user U1 and the situation (context) of the user U1. Accordingly, the information processing device 100 can output the advertisement AD1 to the user U1 at appropriate timing. Therefore, the information processing apparatus 100 can appropriately execute processing related to advertisement output.

Then, in the example of FIG. 1, after the user terminal TM1-1 outputs the advertisement AD1 to the user U1, the position of the moving object C1 moves from the position LC2-1 to the position LC1-3. That is, after the user U1 contacts the advertisement AD1, the position of the mobile object C1 moves from the position LC1-2 to the position LC2-1 of the store SP1 corresponding to the advertisement AD1. Further, in the example of FIG. 1, after the user U1 contacts the advertisement AD1, the user U1 uses the store SP1, which is the A hamburger store.

Then, the information processing apparatus 100 acquires action information indicating that the user U1 has used the store SP1, which is the A hamburger store, after the user U1 contacts the advertisement AD1 (step S17). In the example of FIG. 1, the information processing apparatus 100 stores behavior information indicating that the user U1 used the store SP1 at the date and time dt1-5 after contacting the advertisement AD1 of the user U1, as shown in the behavior information storage unit 125. Acquire AC15. Specifically, information processing apparatus 100 acquires action information indicating that user U1 purchased product GD1 (AA burger) at A hamburger shop (action AC15) on date and time dt1-5. That is, the information processing apparatus 100 acquires behavior information indicating that the user U1 used the A hamburger restaurant on the date and time dt1-5. For example, the information processing device 100 acquires behavior information indicating that the A hamburger shop was used from the shop terminal 20 used by the shop SP1. Note that the information processing apparatus 100 may acquire the behavior information indicating the use of the A hamburger restaurant from the user terminal TM1-1 or the information providing apparatus.

Then, the information processing apparatus 100 determines whether or not the user performs a predetermined action based on the advertisement (step S18). For example, the information processing apparatus 100 determines whether or not the user U1 performs a predetermined action based on the advertisement AD1 based on information (determination condition information) related to determination conditions stored in the determination information storage unit 124 .

“Determination condition ID” shown in the determination information storage unit 124 in FIG. 1 indicates identification information for identifying the determination condition. “Content” shown in the determination information storage unit 124 in FIG. 1 indicates the specific content of the determination condition.

In the example of FIG. 1, the judgment condition (judgment condition JC1) identified by the judgment condition ID "JC1" indicates that the content is "use the store within 30 minutes after output". The determination condition JC1 indicates that the determination condition is whether or not the user to whom the advertisement is output has used the store that is the target of the advertisement within 30 minutes after the advertisement is output.

Also, in the example of FIG. 1, the determination condition (determination condition JC2) identified by the determination condition ID "JC2" indicates that the content is "related utterance after output". Determination condition JC2 indicates that the determination condition is whether or not the user, who is the target of advertisement output, has spoken about the target of the advertisement after outputting the advertisement.

Also, in the example of FIG. 1, the determination condition (determination condition JC3) identified by the determination condition ID "JC3" indicates that the content is "request information after output". The determination condition JC3 indicates that the determination condition is whether or not the user targeted for advertisement output requests information regarding the target of the advertisement after outputting the advertisement.

In the example of FIG. 1, the information processing apparatus 100 determines that the predetermined behavior of the user U1 by the advertisement AD1 is valid when the behavior of the user U1 after the advertisement AD1 is output satisfies any of the determination conditions JC1 to JC3. It is determined that In the example of FIG. 1, the date and time dt1-5 are assumed to be within 30 minutes from the date and time when the advertisement AD1 is output.

For example, the information processing apparatus 100 compares each piece of determination condition information stored in the determination information storage unit 124 with the action information of the user U1 after the advertisement AD1 is output to the user U1, thereby determining whether the user U1 Determine the presence or absence of a predetermined action. For example, when the behavior information of the user U1 after the advertisement AD1 is output to the user U1 includes behavior information corresponding to any of the determination condition information stored in the determination information storage unit 124, the information processing apparatus 100 determines that the advertisement It is determined that AD1 has performed a predetermined action of user U1. Since the user U1 uses the store SP1 within 30 minutes after the advertisement AD1 is output, the information processing apparatus 100 determines that the user U1 has taken a predetermined action according to the advertisement AD1. In the example of FIG. 1, the information processing apparatus 100 outputs the advertisement AD1 to the user U1, as shown in the determination information list JINF, and determines that the user U1 has used the hamburger restaurant A within 30 minutes after the output. Since the condition JC1 is satisfied, it is determined that the user U1 has taken a predetermined action according to the advertisement AD1.

When the information processing apparatus 100 determines that the user has taken a predetermined action due to the advertisement, the information processing apparatus 100 may determine that the advertisement was effective. Further, when determining that the user has taken a predetermined action due to the advertisement, the information processing apparatus 100 may determine that the user has taken a action that benefits the advertiser of the advertisement. In the example of FIG. 1, the information processing apparatus 100 determines that the advertisement AD1 has been effective for the user U1 because the user U1 has taken a predetermined action after the advertisement AD1 was output. Specifically, the information processing apparatus 100 determines that the advertisement AD1 was effective for the user U1 because the user U1 uses the store SP1 within 30 minutes after the advertisement AD1 is output.

In this way, the information processing apparatus 100 determines whether or not the user U1 performs a predetermined action according to the advertisement AD1 based on the action of the user U1 after the advertisement AD1 is output. Then, when the user U1 performs a predetermined action after the advertisement AD1 is output, the information processing apparatus 100 determines that the advertisement AD1 was effective for the user U1. Thereby, the information processing apparatus 100 can appropriately determine the effectiveness of the advertisement. Therefore, the information processing apparatus 100 can appropriately execute processing related to advertisement output.

[1-1. billing]
For example, the information processing apparatus 100 may charge the advertiser of the advertisement based on whether or not the user performs a predetermined action due to the advertisement. The information processing apparatus 100 may charge the advertiser of the advertisement when determining that the user has taken a predetermined action due to the advertisement. For example, the information processing apparatus 100 may charge the advertiser of the advertisement based on the number of times the user performs a predetermined action due to the advertisement. For example, the information processing apparatus 100 may charge the advertiser of the advertisement for the billing amount calculated by multiplying the predetermined number of actions of the user by the advertisement by a predetermined unit price.

[1-2. evaluation〕
Further, the information processing apparatus 100 may determine the effectiveness of the advertisement based on the number of times the advertisement is distributed (the number of times the advertisement is output) and the number of times the user performs a predetermined action due to the advertisement. The information processing device 100 determines the effectiveness of the advertisement based on a value (hereinafter also referred to as an "evaluation value") obtained by dividing the number of times the user takes a predetermined action by the advertisement AD1 by the number of times the advertisement is distributed (the number of times the advertisement is output). may The information processing apparatus 100 may set a value (evaluation value) obtained by dividing the number of times the user performs a predetermined action due to the advertisement by the number of times the advertisement is distributed (the number of times the advertisement is output) as the conversion rate of the advertisement. For example, the information processing apparatus 100 may set a value (evaluation value) obtained by dividing the number of predetermined actions of the user due to the advertisement AD1 by the number of distributions (number of outputs) of the advertisement AD1 as the conversion rate for the advertisement AD1.

[1-3. context〕
In the example of FIG. 1, for the sake of simplicity, two users around the user terminal 10 are speaking or are not speaking. may be in the context of For example, the context may include context regarding whether the user's position is changing, ie moving, or whether the user is stationary. For example, the context may include whether the user is waiting for a signal or not. For example, the context may include context regarding whether or not the user made a predetermined statement. For example, the context may include context regarding whether or not the user said "I'm hungry." For example, the context may include context regarding the fact that the user has just said "I'm hungry." For example, the information processing apparatus 100 may determine the advertisement output timing based on the user's situation (context) estimated (determined) from sound or vibration detected by a sensor. Further, the information processing apparatus 100 may determine the output timing of the advertisement based on the user's situation (context) estimated (determined) by analyzing (analyzing) the content of the voice detected by the sensor. .

[1-4. User (terminal)]
In the example of FIG. 1, the target is the user U1 riding on the moving object C1 on which the user terminal TM1-1 is arranged. It may also be various users. For example, the information processing apparatus 100 may perform the above processing related to advertisement output for users (pedestrians) who move on foot. In this case, the user terminal 10 may be a smartphone carried by the user, headphones or earphones worn by the user, or the like.

[1-5. predetermined action]
Note that the information processing apparatus 100 may determine the presence or absence of a predetermined behavior of the user, targeting various behaviors of the user. For example, the information processing apparatus 100 may set the predetermined action to enter the store corresponding to the advertisement within 30 minutes after the advertisement is output. For example, the information processing apparatus 100 may set the predetermined action to become a topic of discussion about the advertisement in the vehicle after the advertisement has been output. For example, the information processing apparatus 100 may set the user's reaction within a certain period of time after the advertisement such as the jingle is output as the predetermined action. For example, the information processing apparatus 100 may set the user's utterances (questions) such as "Where is the location?" and "Do you have a coupon?"

Further, for example, the information processing apparatus 100 regards utterances (questions) by the user such as "Where is the location?" and "Do you have a coupon?" various processing may be performed. For example, the information processing apparatus 100 regards the user's utterances (questions) such as "Where is the location?" and "Do you have a coupon?" A process of calculating a billing amount, an evaluation value, or the like may be performed.

[1-6. Judgment target user]
In the example of FIG. 1, based on the behavior of the user U1 using the user terminal TM1-1, the presence or absence of user behavior and the effectiveness of the advertisement are determined. The determination process described above may be performed on any user. In the example of FIG. 1, the information processing apparatus 100 determines whether or not the user U2 has acted and whether or not the advertisement AD1 may determine the effect of

For example, after the user terminal TM1-1 outputs the advertisement AD1, the information processing apparatus 100 sets the determination condition JC2 when the user U2, who is riding with the moving object C1, says, "I want to go to the hamburger restaurant A." , it may be determined that the user U2 has a predetermined action. In this case, the information processing apparatus 100 may determine that the advertisement AD1 was effective based on the user U2 who was riding with the mobile object C1.

[1-7. Judgment Target Ad]
In the example of FIG. 1, the advertisement whose effectiveness is to be determined is the advertisement output by the user terminal TM1-1 used by the user U1. There may be. For example, the information processing apparatus 100 may determine the presence or absence of subsequent behavior of the user and the effect of the advertisement by using any advertisement as a determination target as long as the advertisement is touched by the user.

For example, the information processing apparatus 100 may determine the presence or absence of subsequent actions of the user and the effectiveness of the advertisement, with outdoor advertisements such as billboards as the determination target. For example, the information processing apparatus 100 may determine the presence or absence of a user's action and the effectiveness of the advertisement based on the user's action after coming into contact with an outdoor advertisement such as a billboard. For example, the information processing apparatus 100 regards a user whose position within a predetermined range from the installation position of the billboard advertisement as the user who touched the billboard advertisement, and based on the behavior of the user after the contact, the information processing apparatus 100 determines whether the user's behavior due to the billboard advertisement The presence or absence of action or the effectiveness of billboard advertisements may be determined.

[1-8. System configuration〕
The information processing system 1 is not limited to the system configuration shown in FIG. 2, and may have various configurations. For example, the user terminal 10 may perform output timing determination processing. For example, the user terminal 10 may have the functions of the information processing device 100 . That is, the information processing device 100 and the user terminal 10 may be integrated. In this case, the information processing system may include an advertisement delivery server. Then, the information processing device 100, which is the user terminal 10, may acquire the advertisement from the advertisement distribution server and output the acquired advertisement based on the determined output timing. Further, the information processing device 100, which is the user terminal 10, may transmit information or the like indicating that the advertisement has been output to the advertisement distribution server. Further, the information processing apparatus 100, which is the user terminal 10, may transmit various types of information such as sensor information detected by a sensor and user behavior information to the advertisement distribution server.

[1-9. multiple ads]
Although the example of FIG. 1 shows the case where there is one advertisement satisfying the distribution condition, the information processing apparatus 100 determines the advertisement to be output based on various information when there are a plurality of advertisements satisfying the distribution condition. You may For example, the information processing device 100 may determine an advertisement to be output to the user terminal 10 using a predictive model that predicts predetermined behavior of the user. This point will be described with reference to FIG. FIG. 11 is a diagram illustrating an example of information processing according to the embodiment; In FIG. 11, description of the same points as in FIG. 1 will be omitted as appropriate.

FIG. 11 shows a case where the user terminal 10 is a smart phone. Also, the example of FIG. 11 shows a case where the user U5 is walking within the range indicated by the map information MP51. Also, FIG. 11 shows a case where the user U5 possesses the user terminal TM1-5 used by the user U5. The user terminals TM1-5 detect sensor information from various sensors and transmit it to the information processing apparatus 100. FIG. For example, the user terminals TM1-5 detect the speech of the user U5 using sound sensors and transmit the speech to the information processing apparatus 100. FIG. Also, the user terminals TM1-5 transmit the position information detected by the position sensors to the information processing apparatus 100. FIG.

Then, in the example of FIG. 11, the position of the user U5 moves from a position outside the ranges AR21 and AR22, which will be described later, to the position LC5-1. For example, the user U5 walks to move to the position LC5-1. After that, the user terminal TM1-5 transmits to the information processing apparatus 100 sensor information indicating the position LC5-1 detected by the position sensor. As a result, the information processing apparatus 100 acquires position information from the user terminal TM1-5 (step S51). In this way, the information processing apparatus 100 determines that the position of the user U5 using the user terminal TM1-5 is the range AR21, which is the distribution condition of the advertisement AD21 corresponding to the store SP21, and the distribution condition of the advertisement AD22 corresponding to the store SP22. The information indicating that the position LC5-1 is within both the range AR22 is obtained.

Information processing apparatus 100 then determines an advertisement (step S52). The information processing apparatus 100 determines an advertisement based on the user's position and advertisement distribution conditions (advertisement distribution conditions). In the example of FIG. 11, the information processing apparatus 100 distributes to the user terminal TM1-5 used by the user U5 based on the position LC5-1 of the user U5 and each advertisement distribution condition shown in the advertisement information storage unit 123, Decide which advertisements to output.

For example, the information processing apparatus 100 determines an advertisement that satisfies the advertisement distribution conditions regarding range, time slot, and number of times as an advertisement to be output to the user terminals TM1-5. In the example of FIG. 11, it is assumed that two advertisements, advertisement AD21 and advertisement AD22, satisfy the advertisement delivery conditions regarding range, time period, and number of times. Therefore, the information processing apparatus 100 determines the advertisements AD21 and AD22 that satisfy the advertisement distribution conditions regarding the range, time period, and number of times as advertisements to be output to the user terminals TM1-5.

Then, the information processing device 100 determines the situation of the user U5. In the example of FIG. 11, it is assumed that user U5 stops at position LC5-1 and stops moving. For example, the information processing apparatus 100 acquires sensor information such as acceleration information from the user terminals TM1-5, and generates context information CN5 indicating that the user U5 has stopped moving. For example, when the information processing apparatus 100 continuously acquires sensor information (position information) indicating the position LC5-1 from the user terminal TM1-5 a plurality of times, the information processing apparatus 100 obtains the context information CN5 indicating that the user U5 has stopped moving. to generate

For example, the information processing device 100 determines the output timing of the advertisement AD21 based on the situation of the user U5 and the output timing of the advertisement AD21. For example, the information processing device 100 determines the output timing of the advertisement AD22 based on the situation of the user U5 and the output timing of the advertisement AD22. In the example of FIG. 11 , the information processing apparatus 100 determines that it is the output timing of the advertisement AD21 because the situation in which the user U5 is not moving satisfies the condition “while moving” for the output timing of the advertisement AD21. In addition, the information processing apparatus 100 determines that it is the output timing of the advertisement AD22 because the situation in which the user U5 is not moving satisfies the condition of the output timing of the advertisement AD22 "stopping movement".

Thus, in the example of FIG. 11, the information processing apparatus 100 determines that the two advertisements AD21 and AD22 are output timings at the same time. Therefore, the information processing apparatus 100 determines the advertisement to be output to the user terminals TM1-5, among the two advertisements AD21 and AD22 determined to be output timing.

In the example of FIG. 11, the information processing apparatus 100 uses the predictive model M1 that predicts the user's predetermined behavior to determine which of the two advertisements AD21 and AD22 is to be output to the user terminals TM1-5. The information processing apparatus 100 uses a prediction model M1 whose input information is the user information of the user, the store information of the store targeted for advertisement, etc., and causes the user terminal TM1-5 to output one of the two advertisements AD21 and AD22. Decide on advertising.

When information such as user information of a user and store information of a store corresponding to an advertisement is input as input information INFX, the information processing apparatus 100 determines the possibility that the user to whom the advertisement is output will perform a predetermined action. A prediction model M1 is used that outputs a score indicating the degree. A higher score output by the prediction model M1 indicates a higher possibility that the user to whom the advertisement is output will perform a predetermined action. Note that the information processing apparatus 100 may use feature amounts corresponding to various types of information without being limited to the above. For example, the prediction model M1 is not limited to user information and store information, and may include, as input information, situation information indicating context such as the environment at the time of advertisement output such as time and weather, advertisement information such as advertisement content, and the like. Further, when the predictive model M1 is used only for advertisement output in a moving body such as a car, the input information may include information about the number of people in the moving body.

For example, the information processing apparatus 100 calculates a score indicating the possibility that the user U5 will perform a predetermined action when the advertisement AD21 is output to the user U5, by performing the processing indicated by the processing group PS51. In the example of FIG. 11, the information processing apparatus 100 predicts the advertisement AD21 by using the user information U5F of the user U5, the store information SP21F of the store SP21 corresponding to the advertisement AD21, and information such as date and time and weather as input information INFX. Input to the model M1 (step S53-1). The model M1 to which the input information INFX including the user information U5F, the store information SP21F, and information such as date and time and weather is input, outputs a score (step S53-2). In the example of FIG. 11, model M1 to which input information INFX including user information U5F, store information SP21F, date and time, weather, etc. is input, outputs a score of "0.08" as indicated by score SC51-1. .

For example, the information processing apparatus 100 calculates a score indicating the possibility that the user U5 will perform a predetermined action when the advertisement AD22 is output to the user U5, by performing the processing indicated by the processing group PS52. In the example of FIG. 11, the information processing apparatus 100 predicts the advertisement AD22 by using the user information U5F of the user U5, the store information SP22F of the store SP22 corresponding to the advertisement AD22, and information such as date and time and weather as input information INFX. Input to the model M1 (step S54-1). The model M1 to which the input information INFX including the user information U5F, the shop information SP22F, and information such as date and time and weather is input, outputs a score (step S54-2). In the example of FIG. 11, the model M1 to which input information INFX including user information U5F, store information SP22F, and information such as date and time and weather is input, outputs a score of "0.05" as shown in score SC52-1. .

Then, the information processing device 100 determines a distribution advertisement (output advertisement) based on the generated score information (step S55). For example, the information processing apparatus 100 compares the scores of each advertisement to determine the distribution advertisement (output advertisement) to be output to the user terminals TM1-5. For example, the information processing apparatus 100 determines the advertisement with the highest score among the advertisements to be output to the user terminals TM1-5. In the example of FIG. 11, the information processing device 100 determines the advertisement to be output to the user terminals TM1-5 by comparing the score of the advertisement AD21 and the score of the advertisement AD22. The information processing apparatus 100 compares the score of the advertisement AD21 and the score of the advertisement AD22 to determine the advertisement to be output to the user terminal TM1-5. Since the score "0.08" of the advertisement AD21 is greater than the score "0.05" of the advertisement AD22, the information processing apparatus 100 determines the advertisement AD21 to be output to the user terminals TM1-5. Then, the information processing device 100 distributes the advertisement AD21 to the user terminal TM1-5 (step S56). The user terminal TM1-5 that has received the advertisement AD21 from the information processing device 100 outputs the advertisement AD21 (step S57). For example, the user terminal TM1-5 voice-outputs an advertisement AD21, which is a voice advertisement. In the example of FIG. 11, the user terminal TM1-5 voice-outputs an advertisement AD21 relating to the store SP21, which is the B convenience store. For example, the user terminal TM1-5 voice-outputs an advertisement AD21 such as "Convenience store B is ahead" or "Coupons for convenience store B are available".

In this way, when there are a plurality of advertisements at output timing, the information processing apparatus 100 appropriately selects an advertisement to be output to the user by determining an advertisement to be distributed (output advertisement) based on a predetermined criterion. can decide. Note that, when there are a plurality of advertisements that have reached the output timing, the information processing apparatus 100 may determine the distribution advertisement (output advertisement) without using the prediction model M1. For example, when there are a plurality of advertisements that have reached the output timing, the information processing apparatus 100 may determine an advertisement having a high correlation between the advertisement and the user attribute as the distribution advertisement (output advertisement). For example, when there are a plurality of advertisements whose output timing has come, the information processing apparatus 100 may determine the advertisement with the highest bid price as the distribution advertisement (output advertisement). For example, when there are a plurality of advertisements that have reached the output timing, the information processing apparatus 100 may determine the advertisement with the smaller number of times of distribution as the distribution advertisement (output advertisement). For example, when there are a plurality of advertisements that have reached the output timing, the information processing apparatus 100 may determine an advertisement with a smaller ratio of the number of times of distribution to the upper limit number of times of distribution as a distribution advertisement (output advertisement).

[2. Configuration of Information Processing Device]
Next, the configuration of the information processing apparatus 100 according to the embodiment will be described using FIG. FIG. 3 is a diagram illustrating a configuration example of the information processing apparatus 100 according to the embodiment. As shown in FIG. 3, the information processing apparatus 100 has a communication section 110, a storage section 120, and a control section . The information processing apparatus 100 includes an input unit (for example, a keyboard, a mouse, etc.) that receives various operations from an administrator of the information processing apparatus 100, and a display unit (for example, a liquid crystal display, etc.) for displaying various information. may have.

(Communication unit 110)
The communication unit 110 is realized by, for example, a NIC (Network Interface Card) or the like. The communication unit 110 is connected to a network by wire or wirelessly, and transmits and receives information to and from the user terminal 10 .

(storage unit 120)
The storage unit 120 is realized by, for example, a semiconductor memory device such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk. The storage unit 120 according to the embodiment includes, as shown in FIG. have Note that the storage unit 120 may store various types of information, not limited to the above. The storage unit 120 may store various model information such as the prediction model M1 shown in FIG.

(User information storage unit 121)
The user information storage unit 121 according to the embodiment stores various information about users. For example, the user information storage unit 121 stores various information regarding user attributes. 4 is a diagram illustrating an example of a user information storage unit according to the embodiment; FIG. The user information storage unit 121 shown in FIG. 4 includes items such as "user ID", "age", "sex", "use terminal", "interest", and "location information". "Position information" includes items such as "latest position".

"User ID" indicates identification information for identifying a user. "Age" indicates the age of the user identified by the user ID. Note that the “age” may be a specific age of the user identified by the user ID, such as 35 years old. "Gender" indicates the gender of the user identified by the user ID.

"Using terminal" indicates a terminal used by the user. Note that although the example shown in FIG. 4 shows a case where one user terminal 10 is associated with each user, a plurality of user terminals 10 may be associated with a user. For example, when the user U3 uses the user terminal TM1-30, which is a smart speaker, in addition to the user terminal TM1-3, which is a smart phone, the “used terminals” corresponding to the user U3 are “TM1-3” and “ TM1-30” may be stored.

"Interest" indicates the interest of the user identified by the user ID. That is, "interest" indicates an object in which the user identified by the user ID has a high interest. In the example shown in FIG. 4, one "interest" is shown for each user, but there may be more than one.

Also, "latest location" in "location information" indicates location information obtained last for the corresponding user. The "latest position" is illustrated as an abstract code such as "LC1-2", but even if it is information indicating latitude and longitude or information indicating an address such as "Z town, Y city, X prefecture" good. Also, the "location information" may have an item of "acquisition date and time". For example, "acquisition date and time" indicates the date and time when the position information was last acquired.

The example of FIG. 4 indicates that the age of the user (user U1) identified by the user ID "U1" is "twenties" and the gender is "male". The terminal used by the user U1 is the user terminal TM1-1, which is a smart speaker. User U1 also indicates that he is interested in economics. For example, for user U1, the location information indicating that the user is located at location LC1-2 is the last acquired location information, that is, the latest location information.

Note that the user information storage unit 121 may store various types of information, not limited to the above, depending on the purpose. For example, the user information storage unit 121 may store various information such as demographic attribute information and psychographic attribute information. For example, the user information storage unit 121 may store information such as name, family structure, and income.

Although not shown, the user information storage unit 121 may store identification information for identifying each user based on sensor information in association with each user ID. For example, the user information storage unit 121 may include an item “identification information” including an item such as “voice”.

The item "voice" stores voice information used for user identification. The item "audio" may store audio information of each user, or a file path name indicating a storage location thereof. The information stored in the item "voice" may be feature information indicating features of the user's voice. For example, the information stored in the item "speech" may be information (speech feature information) indicating a speech feature extracted from the user's speech. For example, the information stored in the item "speech" may be speech feature information extracted from each utterance using various conventional techniques for speech feature extraction as appropriate.

In the example of FIG. 1 , the information processing apparatus 100 may determine (estimate) the user who made the utterance using the user's utterance and the voice stored in the user information storage unit 121 . For example, the information processing apparatus 100 compares the voice information of the user's utterance with the voice information of each user stored in the item "voice" in the user information storage unit 121, thereby determining the user who made the utterance. You may (estimate). The item “identification information” may include an item such as “image”. In this case, image information used for user identification is stored in the item "image".

(Store information storage unit 122)
The store information storage unit 122 according to the embodiment stores various information about stores. 5 is a diagram illustrating an example of a store information storage unit according to the embodiment; FIG. For example, the shop information storage unit 122 stores information about various shops. The store information storage unit 122 shown in FIG. 5 includes items such as "store ID", "name", "category", and "location".

"Store ID" indicates identification information for identifying a store. "Name" indicates the specific name of the store. For example, the "name" may be a combination of a shop name such as "○○ cafe X town store" and information indicating the location of the shop. "Category" indicates the category to which the store belongs. "Location" indicates the place where the store is located. Although the "location" is illustrated as an abstract code such as "LC2-1", it may be information indicating latitude and longitude or information indicating an address such as "Z town, Y city, X prefecture". .

In the example of FIG. 5, the store identified by the store ID "SP1" is named "A hamburger store" and belongs to the category "restaurant (fast food)". Also, A hamburger store is located at position LC2-1.

Note that the store information storage unit 122 may store various types of information, not limited to the above, depending on the purpose.

(Advertisement information storage unit 123)
The advertisement information storage unit 123 according to the embodiment stores various information regarding advertisements. 6 is a diagram illustrating an example of an advertisement information storage unit according to the embodiment; FIG. The advertisement information storage unit 123 shown in FIG. 6 has items such as "advertisement ID", "advertiser ID (store ID)", "content", and "condition (level)".

"Advertisement ID" indicates identification information for identifying an advertisement. "Advertisement" indicates an advertisement submitted by an advertiser, an agency, or the like. FIG. 6 shows an example in which conceptual information such as "CT1" is stored in "advertisement", but in reality, audio advertisements (audio information) or file path names indicating their storage locations are stored. be done. In addition, if the advertisement is not a voice advertisement including text, images, video, etc., "advertisement" stores still images, moving images, text data, URLs, or file path names indicating the storage locations of these. be. Below, the notation such as "advertiser" is a concept that includes not only advertisers but also agencies.

"Advertiser ID" indicates identification information for identifying an advertiser. Note that the advertiser may request an agency to perform manuscript submission work and the like. Therefore, the notation such as "advertiser" is a concept that includes not only advertisers such as stores but also agencies. In the example of FIG. 6, in order to simplify the explanation, the case where the store ID is stored as the "advertiser ID" is shown.

“Distribution history” indicates the distribution history (output history) of the advertisement identified by the advertisement ID. In FIG. 6, the "delivery history" is illustrated as an abstract code such as "DH1", but includes information on the number of times the corresponding advertisement is delivered (output) and each delivery (output) of the corresponding advertisement. may For example, the distribution history DH1 may include information indicating the number of times the advertisement AD1 has been output. For example, the distribution history DH1 may include information indicating the target user, the output date and time, and the like in each output of the advertisement AD1.

"Advertisement delivery condition" indicates the delivery condition (output condition) of the advertisement identified by the advertisement ID. The "advertisement delivery condition" includes items such as "range", "time period", "number of times", and "output timing". Note that the "advertisement delivery conditions" are not limited to the above, and may include various items related to the advertisement delivery conditions such as "user attributes".

“Range” indicates a target range for distributing (outputting) the advertisement identified by the advertisement ID. For example, "range" indicates a range centered on the location of the advertiser's store. In FIG. 6, "Range" shows an abstract code such as "AR1", but information indicating a specific range such as "radius of 1 km" or "within the same town" is stored.

The “time period” indicates the time period during which the advertisement identified by the advertisement ID is to be distributed (output). In FIG. 6, the "time zone" is represented by an abstract code such as "TM1", but specific times such as "10:00 to 14:00", "evening (16:00 to 19:00)", and "morning" are shown. Information indicating the band is stored. Also, if the advertisement does not include the "time period" in the condition, a "- (hyphen)" is shown in the "time period" of the advertisement. The example of FIG. 7 indicates that the delivery conditions for the advertisement AD21 do not include conditions related to time zones.

“Number of times” indicates the number of times the advertisement identified by the advertisement ID is distributed (output). In FIG. 6, the "number of times" is represented by an abstract code such as "NM1", but specific codes such as "X times/day", "10,000 times a week", and "unlimited within X months and Y days" are shown. Information indicating the number of times is stored. “Output timing” indicates the timing of outputting the advertisement identified by the advertisement ID.

In the example shown in FIG. 6, the advertisement (advertisement AD1) identified by the advertisement ID "AD1" indicates that the advertisement content is "CT1". The advertiser of the advertisement AD1 is the store SP1. Moreover, it shows that the delivery history of advertisement AD1 is delivery history DH1. The condition regarding the range of advertisement AD1 indicates that it is range AR1. Moreover, the condition regarding the time period of the advertisement AD1 indicates that it is the time period TM1. Also, the condition regarding the number of advertisements AD1 indicates that the number of advertisements is NM1. Moreover, the output timing of the advertisement AD1 indicates that the speech is stopped. In other words, the advertisement AD1 is an advertisement that is to be output when the user stops speaking and the user stops speaking.

It should be noted that the advertisement information storage unit 123 may store various types of information, not limited to the above, depending on the purpose. For example, the advertisement information storage unit 123 may store information regarding bid prices. For example, the advertisement information storage unit 123 may store information indicating product names and service names to be advertised.

(Determination information storage unit 124)
The determination information storage unit 124 according to the embodiment stores information regarding determination of advertising effectiveness. For example, the determination information storage unit 124 stores information regarding the determination of the effect of the advertisement on the user. 7 is a diagram illustrating an example of a determination information storage unit according to the embodiment; FIG. The determination information storage unit 124 shown in FIG. 7 includes items such as “determination condition ID” and “content”.

"Determination condition ID" indicates identification information for identifying the determination condition. "Content" indicates the specific content of the determination condition.

In the example of FIG. 7, the judgment condition (judgment condition JC1) identified by the judgment condition ID "JC1" indicates that the content is "store use within 30 minutes after output". The determination condition JC1 indicates that the determination condition is whether or not the user to whom the advertisement is output has used the store that is the target of the advertisement within 30 minutes after the advertisement is output.

Also, in the example of FIG. 7, the determination condition (determination condition JC2) identified by the determination condition ID "JC2" indicates that the content is "utterance related after output". Determination condition JC2 indicates that the determination condition is whether or not the user, who is the target of advertisement output, has spoken about the target of the advertisement after outputting the advertisement.

In addition, in the example of FIG. 7, the determination condition (determination condition JC3) identified by the determination condition ID "JC3" indicates that the content is "request information after output". The determination condition JC3 indicates that the determination condition is whether or not the user targeted for advertisement output requests information regarding the target of the advertisement after outputting the advertisement. The information request includes various actions, such as access to an advertisement target web page and downloading of an advertisement target application, as long as the target information of the advertisement is requested.

It should be noted that the determination information storage unit 124 may store various types of information, not limited to the above, depending on the purpose.

(Action information storage unit 125)
The behavior information storage unit 125 according to the embodiment stores various types of information regarding user behavior. 8 is a diagram illustrating an example of an action information storage unit according to the embodiment; FIG. The action information storage unit 125 shown in FIG. 8 includes items such as "user ID", "action ID", "type", "content", "date and time", and "position".

"User ID" indicates identification information for identifying a user. For example, a user identified by user ID "U1" corresponds to user U1 shown in the example of FIG. Also, the "action ID" indicates information for identifying the action of the user. "Type" indicates information about the type of the corresponding user's action. Also, "content" indicates the content targeted in the corresponding user's behavior. "Date and time" indicates the date and time when the corresponding user action was performed. The “date and time” is illustrated abstractly such as “dt1-1”, but a specific date and time such as “July 25, 2018, 22:31:52” may be stored. Note that the "date and time" is not limited to a point in time, and may be a predetermined period such as "July 25, 2018, 22:31" or "July 25, 2018, 22:30-31". "Position" indicates the position where the corresponding action was performed. The "position" is illustrated as an abstract code such as "LC1-1", but may be information indicating latitude and longitude or information indicating an address such as "Z town, Y city, X prefecture". .

In the example of FIG. 8, the user (user U1) identified by the user ID "U1" has an action (action AC11) identified by the action ID "AC11" or an action (action AC15) identified by the action ID "AC15". ) etc. Specifically, the example of FIG. 8 indicates that user U1 made an utterance (action AC11) with content “XXXXXX” at date dt1-1 at position LC1-1. The content "XXXXXX" is assumed to be specific content such as "What should we have for lunch?"

Further, in the example of FIG. 8, the user U1 purchases the product GD1 (AA burger) at the A hamburger shop located at the position LC2-1 (action AC15) at the date and time dt1-5 later than the date and time dt1-1. indicates that In other words, it indicates that the user U1 used the A hamburger restaurant on the date and time dt1-5.

Note that the behavior information storage unit 125 may store various types of information, not limited to the above, depending on the purpose. For example, the behavior information storage unit 125 may store position information of the user when each piece of behavior information was acquired in association with each piece of behavior information. Also, FIG. 8 shows the case where the action information is stored in the action information storage unit 125 for each user ID, but the action information is not limited to each user ID and may be stored, for example, in chronological order.

(control unit 130)
Returning to the description of FIG. 3, the control unit 130 is a controller, and is stored in a storage device inside the information processing apparatus 100 by, for example, a CPU (Central Processing Unit) or an MPU (Micro Processing Unit). Various programs (corresponding to an example of an information processing program) are executed by using the RAM as a work area. Also, the control unit 130 is a controller, and is implemented by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

As shown in FIG. 3, the control unit 130 includes an acquisition unit 131, a determination unit 132, a determination unit 133, and a provision unit 134, and implements or executes the information processing functions and actions described below. . Note that the internal configuration of the control unit 130 is not limited to the configuration shown in FIG. 3, and may be another configuration as long as it performs information processing described later. Moreover, the connection relationship between the processing units of the control unit 130 is not limited to the connection relationship shown in FIG. 3, and may be another connection relationship.

(Acquisition unit 131)
The acquisition unit 131 acquires various information. The acquisition unit 131 acquires various types of information from the user terminal 10 or an external device such as an information providing device. Also, the acquisition unit 131 acquires various types of information from the storage unit 120 . The acquisition unit 131 also acquires various types of information from the user information storage unit 121, the store information storage unit 122, the advertisement information storage unit 123, the determination information storage unit 124, the behavior information storage unit 125, and the like. For example, the acquisition unit 131 may acquire various information from the store terminal 20 .

The acquisition unit 131 acquires position information about the user and context information indicating the user's situation. The acquisition unit 131 acquires context information based on sensor information detected by a predetermined sensor. Acquisition unit 131 acquires store location information indicating the location of a store to be advertised.

Acquisition unit 131 acquires advertiser information about an advertiser of an advertisement. Acquisition unit 131 acquires advertiser information including the type of business of the advertiser. The acquisition unit 131 acquires frequency information indicating the number of times an advertisement has been output. The acquisition unit 131 acquires position information about a user riding a mobile object. Acquisition unit 131 acquires location information about a user who owns a mobile terminal.

Acquisition unit 131 acquires behavior information after contact with the advertisement of the user. Acquisition unit 131 acquires behavior information including location information about a user and store location information indicating the location of a store targeted for advertisement. Acquisition unit 131 acquires utterance information related to user's utterance.

In the example of FIG. 1, the acquisition unit 131 acquires the user's utterance information (behavior information) detected by the user terminal TM1-1 from the user terminal TM1-1, as shown in the motion information storage unit 125. FIG.
As shown in the behavior information storage unit 125, the acquisition unit 131 acquires from the user terminal TM1-1 information indicating that the user U1 made an utterance with the content "XXXXXX" on the date and time dt1-1. As shown in the behavior information storage unit 125, the acquisition unit 131 acquires from the user terminal TM1-1 information indicating that the user U2 made an utterance with the content “YYYYYY” on the date and time dt1-1. The acquisition unit 131 acquires position information (sensor information) indicating the position LC1-2 from the user terminal TM1-1 at a date and time after the date and time dt1-1 (for example, the date and time dt1-2).

In the example of FIG. 1, the acquisition unit 131 acquires action information indicating that the user U1 used the store SP1, which is the A hamburger store, after the user U1 contacted the advertisement AD1. Acquisition unit 131, as shown in behavior information storage unit 125, obtains behavior information AC15 indicating that user U1 used store SP1 at date and time dt1-5 after contact with advertisement AD1 of user U1. Specifically, the acquiring unit 131 acquires action information indicating that the user U1 purchased the product GD1 (AA burger) at the A hamburger shop (action AC15) on the date and time dt1-5. That is, the acquiring unit 131 acquires action information indicating that the user U1 used the A hamburger restaurant on the date dt1-5. For example, the acquisition unit 131 acquires the action information indicating that the A hamburger restaurant was used from the store terminal 20 used by the store SP1.

(Determination unit 132)
The determination unit 132 determines various types of information. The determination unit 132 generates various information. The determination unit 132 determines various information based on the various information stored in the storage unit 120 . The determination unit 132 generates various information based on various information stored in the storage unit 120 . The determination unit 132 determines various types of information based on the user information storage unit 121, the shop information storage unit 122, the advertisement information storage unit 123, the determination information storage unit 124, the behavior information storage unit 125, and the like. The determination unit 132 generates various information based on the user information storage unit 121, the store information storage unit 122, the advertisement information storage unit 123, the determination information storage unit 124, the action information storage unit 125, and the like. The determination unit 132 determines various information based on the various information acquired by the acquisition unit 131 . The determination unit 132 generates various information based on the various information acquired by the acquisition unit 131 . The determination unit 132 determines various information based on the various information determined by the determination unit 133 . The determination unit 132 generates various information based on the various information determined by the determination unit 133 .

Based on the position information and the context information acquired by the acquisition unit 131, the determination unit 132 determines the output timing of the advertisement to the user by the voice output unit having a predetermined relationship with the user. The determination unit 132 determines the output timing of the advertisement depending on whether the user's situation based on the context information satisfies a predetermined condition. The determination unit 132 determines the advertisement output timing based on the location information and the store location information. The determination unit 132 determines the advertisement output timing depending on whether the user's position is within a predetermined range from the store.

The decision unit 132 decides the output timing of the advertisement based on the advertiser information. The determination unit 132 determines the output timing of the advertisement based on the time information based on the type of business of the advertiser. The determination unit 132 determines the advertisement output timing based on the frequency information. The determining unit 132 determines one advertisement to be output based on a predetermined criterion among the plurality of advertisements determined to be output timing. The determination unit 132 determines one advertisement based on the user information of the user. The determination unit 132 receives input information including user information of the user and determines one advertisement using a prediction model that predicts a predetermined behavior of the user. The determining unit 132 determines one advertisement using a predictive model whose input is input information including store information of a store to be advertised.

The decision unit 132 decides the output timing of the advertisement by the voice output means mounted on the moving object. The determination unit 132 determines the output timing of the advertisement by the voice output means of the mobile terminal.

The determination unit 132 determines an advertisement based on the user's position and advertisement distribution conditions (advertisement distribution conditions). In the example of FIG. 1, the determination unit 132 distributes and outputs to the user terminal TM1-1 used by the user U1 based on the position LC1-2 of the user U1 and each advertisement distribution condition shown in the advertisement information storage unit 123. Decide which ads you want. For example, the determination unit 132 determines advertisements based on advertisement delivery conditions. In the example of FIG. 1, the determination unit 132 determines an advertisement that satisfies the advertisement distribution conditions regarding the range, time period, and number of times as the advertisement to be output to the user terminal TM1-1. The determination unit 132 determines the advertisement to be output to the user terminal TM1-1 as the advertisement AD1.

The decision unit 132 decides the output timing of the advertisement AD1. For example, the determination unit 132 determines the output timing of the advertisement AD1 based on the situation of the user U1 and the output timing of the advertisement AD1. For example, the determination unit 132 determines the output timing of the advertisement AD1 based on the comparison between the situation of the user U1 and the output timing of the advertisement AD1.

In the example of FIG. 1 , the determination unit 132 determines the output timing of the advertisement AD1 based on the comparison between the context information CN1 indicating that the user U1 is not speaking and the output timing condition of the advertisement AD1 “stopping speech”. Determine output timing. The determination unit 132 determines that it is the output timing of the advertisement AD1 because the situation in which the user U1 does not speak satisfies the condition of the output timing of the advertisement AD1 "while speaking".

(Determination unit 133)
The determination unit 133 determines various types of information. The determination unit 133 determines various information based on various information stored in the storage unit 120 . The determination unit 133 determines various types of information based on the user information storage unit 121, the store information storage unit 122, the advertisement information storage unit 123, the determination information storage unit 124, the behavior information storage unit 125, and the like. The determination unit 133 determines various information based on the various information acquired by the acquisition unit 131 . The determination unit 133 determines various information based on the various information determined by the determination unit 132 .

Based on the behavior information acquired by the acquisition unit 131, the determination unit 133 determines whether or not the user performs a predetermined behavior due to the advertisement. The determination unit 133 determines whether or not the user performs a predetermined action based on the action information within a predetermined period of time after the user's contact with the advertisement. The determination unit 133 determines whether or not the user performs a predetermined action based on the location information and the store location information. The determination unit 133 determines whether or not the user performs a predetermined action, depending on whether or not the user uses the store targeted by the advertisement. The determination unit 133 determines whether or not the user performs a predetermined action according to whether or not the user speaks about the advertisement based on the speech information. The determination unit 133 determines whether or not there is a user's action that benefits the advertiser of the advertisement.

In the example of FIG. 1, the determination unit 133 determines whether the advertisement distribution condition regarding the range is satisfied based on the position of the user U1. For example, the determination unit 133 determines whether the advertisement distribution condition regarding the range of the advertisement AD1 is satisfied based on the position LC1-2 of the user U1 and the position LC2-1 of the store SP1. The determination unit 133 determines whether or not the advertisement distribution condition regarding the range of the advertisement AD1 is satisfied by comparing the position LC1-2 of the user U1 and the position LC2-1 of the store SP1. The determination unit 133 determines whether or not the advertisement distribution condition regarding the range of the advertisement AD1 is satisfied by calculating the distance between the position LC1-2 of the user U1 and the position LC2-1 of the store SP1. In this case, the determination unit 133 determines that the advertisement distribution condition regarding the range of the advertisement AD1 is satisfied when the calculated distance between the user U1 and the store SP1 is equal to or less than the radius of the range AR1. For example, the determination unit 133 determines that the advertisement distribution condition regarding the range of the advertisement AD1 is satisfied when the calculated distance between the user U1 and the store SP1 is within 1 km. In the example of FIG. 1, the determination unit 133 determines that the advertisement distribution condition regarding the range of the advertisement AD1 is satisfied because the position LC1-2 of the user U1 is within the range AR1.

Also, the determination unit 133 determines whether the advertisement distribution condition regarding the time period is satisfied based on the time when the advertisement is determined. For example, the determination unit 133 determines whether the advertisement distribution condition regarding the time period of the advertisement AD1 is satisfied based on the time when the advertisement is determined and the time period TM1 included in the distribution condition of the advertisement AD1. The determination unit 133 determines whether or not the advertisement distribution condition regarding the time period of the advertisement AD1 is satisfied by comparing the time when the advertisement is determined with the time period TM1 included in the distribution condition of the advertisement AD1. The determination unit 133 determines that the advertisement distribution condition regarding the time period of the advertisement AD1 is satisfied when the time at the time of determination of the advertisement is included in the time period TM1 included in the distribution conditions of the advertisement AD1. The determination part 133 determines with satisfy|filling the advertisement distribution conditions regarding the time slot|zone of advertisement AD1.

Further, the determination unit 133 determines whether the advertisement distribution condition regarding the number of times is satisfied based on the distribution history of the advertisement. For example, the determining unit 133 determines the number of distributions (outputs) (number of outputs ON1) based on the distribution history DH1 of the advertisement AD1 and the number of times NM1 included in the distribution condition of the advertisement AD1. Determine whether the conditions are met. For example, the determination unit 133 determines whether the advertisement distribution condition regarding the number of advertisements AD1 is satisfied based on the number of times ON1 of output on the date when the advertisement is determined and the number of times NM1 included in the distribution conditions of the advertisement AD1. The determination unit 133 determines whether or not the advertisement distribution condition regarding the number of times of the advertisement AD1 is satisfied by comparing the number of outputs ON1 and the number of times NM1 included in the distribution condition of the advertisement AD1. If the number of outputs ON1 is less than the number of times NM1 included in the distribution condition of the advertisement AD1, the determination unit 133 determines that the advertisement distribution condition regarding the number of times of the advertisement AD1 is satisfied. In the example image of FIG. 1, the determination unit 133 determines that the output count ON1 is less than the count NM1 and is included in the delivery conditions for the advertisement AD1. Therefore, the determination unit 133 determines that the advertisement distribution condition regarding the number of advertisements AD1 is satisfied. The determination unit 133 determines that the advertisement AD1 satisfies the advertisement distribution conditions regarding the range, the time period, and the number of times.

The determination unit 133 determines the situation of the user U1. The determination unit 133 determines the situation (context) of the user U1 based on sensor information or the like detected by a predetermined sensor. The determination unit 133 determines the situation of the user U1 based on sensor information such as speech information detected by the user terminal TM1-1. In the example of FIG. 1, since the utterance information of users U1 and U2 has not been acquired after acquisition of the utterance information of users U1 and U2 at date and time dt1-1 from user terminal TM1-1, determination unit 133 determines that user U1 is determined as no speech. That is, the determination unit 133 determines that the situation in the moving body C1 in which the user terminal TM1-1 is located is that speech is stopped.

The determination unit 133 determines whether or not the user performs a predetermined action based on the advertisement. For example, the determination unit 133 determines whether or not the user U1 performs a predetermined action based on the advertisement AD1 based on information (determination condition information) related to determination conditions stored in the determination information storage unit 124 . If the user U1's behavior after the advertisement AD1 is output satisfies any of the above-described determination conditions JC1 to JC3, the determination unit 133 determines that the user U1 has performed a predetermined behavior according to the advertisement AD1.

For example, the determination unit 133 compares each determination condition information stored in the determination information storage unit 124 with the action information of the user U1 after the advertisement AD1 is output to the user U1, thereby determining the predetermined determines whether or not there is any action. For example, when the action information of the user U1 after the advertisement AD1 is output to the user U1 includes action information corresponding to any of the judgment condition information stored in the judgment information storage unit 124, the judgment unit 133 determines that the advertisement AD1 It is determined that there is a predetermined action of the user U1. Since the user U1 uses the store SP1 within 30 minutes after the advertisement AD1 is output, the determination unit 133 determines that the user U1 has taken a predetermined action according to the advertisement AD1. In the example of FIG. 1, the determination unit 133 outputs the advertisement AD1 to the user U1 as shown in the determination information list JINF. Since it corresponds to JC1, it is determined that the user U1 has performed a predetermined action according to the advertisement AD1.

The determination unit 133 may determine that the advertisement was effective when determining that the advertisement caused the predetermined action of the user. In addition, when determining that the user has performed a predetermined action due to the advertisement, the determination unit 133 may determine that the user has performed a behavior that benefits the advertiser of the advertisement. In the example of FIG. 1, the determination unit 133 determines that the advertisement AD1 was effective for the user U1 because the user U1 has taken a predetermined action after the advertisement AD1 was output. Specifically, since the user U1 uses the store SP1 within 30 minutes after the advertisement AD1 is output, the determination unit 133 determines that the advertisement AD1 was effective for the user U1.

(Providing unit 134)
The providing unit 134 provides various information. The providing unit 134 provides various types of information to an external information processing device. The providing unit 134 provides various types of information to an external information processing device such as the user terminal 10 . The providing unit 134 transmits various information to the user terminal 10 . The providing unit 134 distributes various types of information to the user terminal 10 . The providing unit 134 provides various information based on the various information acquired by the acquiring unit 131 . The providing unit 134 provides various information based on the various information determined by the determining unit 132 . The providing unit 134 provides various services based on various information determined by the determining unit 133 . The provision unit 134 provides various information based on the various information determined by the determination unit 133 .

The providing unit 134 provides a service of outputting advertisements based on the output timing determined by the determining unit 132 . The providing unit 134 provides the advertisement to the user terminal 10 based on the output timing determined by the determining unit 132 . The providing unit 134 distributes the advertisement to the user terminal 10 based on the output timing determined by the determining unit 132 . In the example of FIG. 1, the providing unit 134 distributes the advertisement AD1 to the user terminal TM1-1. The providing unit 134 transmits the advertisement AD1 determined to be the output timing by the determining unit 132 to the user terminal TM1-1.

[3. Information processing flow]
Next, the procedure of information processing by the information processing system 1 according to the embodiment will be described with reference to FIG. 9 . FIG. 9 is a flowchart illustrating an example of information processing according to the embodiment; Specifically, FIG. 9 is a flowchart showing an example of determination processing. FIG. 9 is a flowchart showing an example of determination processing including processing relating to advertisement output.

As shown in FIG. 9, the information processing apparatus 100 acquires position information about the user (step S101). Then, the information processing apparatus 100 determines the timing of outputting an advertisement to the user from a speaker having a predetermined relationship with the user, based on the position information (step S102). The information processing apparatus 100 also causes the speaker to output the advertisement based on the output timing (step S103). In the example of FIG. 1, the information processing apparatus 100 causes the user terminal TM1-1 to output the advertisement AD1 by providing the advertisement AD1 to the user terminal TM1-1 of the user U1 based on the output timing.

[4. Judgment process flow]
Next, the procedure of information processing by the information processing system 1 according to the embodiment will be described with reference to FIG. 10 . FIG. 10 is a flowchart illustrating an example of information processing according to the embodiment; Specifically, FIG. 10 is a flowchart illustrating an example of determination processing according to the embodiment.

As shown in FIG. 10, the information processing apparatus 100 acquires behavior information after the user comes into contact with the advertisement (step S201). Then, the information processing apparatus 100 determines whether or not the user performs a predetermined action based on the advertisement based on the action information (step S202).

[5. effect〕
As described above, the information processing apparatus 100 according to the embodiment has the acquisition unit 131 and the determination unit 132 . The acquisition unit 131 acquires position information about the user and context information indicating the user's situation. Based on the position information and the context information acquired by the acquisition unit 131, the determination unit 132 determines the output timing of the advertisement to the user by the voice output unit having a predetermined relationship with the user.

As a result, the information processing apparatus 100 according to the embodiment determines the timing of outputting an advertisement to the user by the voice output means having a predetermined relationship with the user, based on the position information about the user and the context information indicating the user's situation. By doing so, the advertisement can be output to the user at an appropriate timing. Therefore, the information processing apparatus 100 can appropriately execute processing related to advertisement output.

Also, in the information processing apparatus 100 according to the embodiment, the acquisition unit 131 acquires context information based on sensor information detected by a predetermined sensor.

Accordingly, the information processing apparatus 100 according to the embodiment determines the timing of outputting an advertisement to the user by the audio output means having a predetermined relationship with the user, based on the context information based on the sensor information detected by the predetermined sensor. Accordingly, advertisements can be output to the user at appropriate timing. Therefore, the information processing apparatus 100 can appropriately execute processing related to advertisement output.

Further, in the information processing apparatus 100 according to the embodiment, the determining unit 132 determines the output timing of the advertisement depending on whether the user's situation based on the context information satisfies a predetermined condition.

With this, the information processing apparatus 100 according to the embodiment determines the output timing of the advertisement according to whether the user's situation based on the context information satisfies a predetermined condition, so that the user receives the advertisement at an appropriate timing. Advertisements can be output. Therefore, the information processing apparatus 100 can appropriately execute processing related to advertisement output.

In addition, in the information processing apparatus 100 according to the embodiment, the acquisition unit 131 acquires store location information indicating the location of the store to be advertised. The determination unit 132 determines the advertisement output timing based on the location information and the store location information.

Accordingly, the information processing apparatus 100 according to the embodiment determines the timing of outputting the advertisement to the user by the voice output means having a predetermined relationship with the user, based on the store location information indicating the location of the store targeted for the advertisement. Accordingly, advertisements can be output to the user at appropriate timing. Therefore, the information processing apparatus 100 can appropriately execute processing related to advertisement output.

Further, in the information processing apparatus 100 according to the embodiment, the determination unit 132 determines the output timing of the advertisement depending on whether the user's position is within a predetermined range from the store.

As a result, the information processing apparatus 100 according to the embodiment determines the advertisement output timing according to whether the user's position is within a predetermined range from the store. can be output. Therefore, the information processing apparatus 100 can appropriately execute processing related to advertisement output.

In addition, in the information processing apparatus 100 according to the embodiment, the acquisition unit 131 acquires advertiser information regarding the advertiser of the advertisement. The decision unit 132 decides the output timing of the advertisement based on the advertiser information.

As a result, the information processing apparatus 100 according to the embodiment determines the output timing of the advertisement to the user by the audio output means having a predetermined relationship with the user, based on the advertiser information regarding the advertiser of the advertisement. Advertisements can be output to the user with timing. Therefore, the information processing apparatus 100 can appropriately execute processing related to advertisement output.

In addition, in the information processing apparatus 100 according to the embodiment, the acquisition unit 131 acquires advertiser information including the type of business of the advertiser. The determination unit 132 determines the output timing of the advertisement based on the time information based on the type of business of the advertiser.

As a result, the information processing apparatus 100 according to the embodiment determines the output timing of the advertisement to the user by the audio output means having a predetermined relationship with the user based on the time information based on the type of business of the advertiser. Advertisements can be output to the user with timing. Therefore, the information processing apparatus 100 can appropriately execute processing related to advertisement output.

In addition, in the information processing apparatus 100 according to the embodiment, the acquisition unit 131 acquires frequency information indicating the number of times an advertisement has been output. The determination unit 132 determines the advertisement output timing based on the frequency information.

As a result, the information processing apparatus 100 according to the embodiment determines the output timing of the advertisement to the user by the voice output means having a predetermined relationship with the user based on the number of times information indicating the number of times the advertisement has been output. Advertisements can be output to the user with timing. Therefore, the information processing apparatus 100 can appropriately execute processing related to advertisement output.

Further, in the information processing apparatus 100 according to the embodiment, the determining unit 132 determines one advertisement to be output based on a predetermined criterion among the plurality of advertisements determined to be output timing.

As a result, the information processing apparatus 100 according to the embodiment determines, based on a predetermined criterion, one advertisement to be output among a plurality of advertisements determined to be output timing, thereby appropriately outputting the advertisement. can decide. Therefore, the information processing apparatus 100 can appropriately execute processing related to advertisement output.

Also, in the information processing apparatus 100 according to the embodiment, the determination unit 132 determines one advertisement based on the user information of the user.

Accordingly, the information processing apparatus 100 according to the embodiment can appropriately determine the advertisement to be output by determining one advertisement to be output based on the user information of the user. Therefore, the information processing apparatus 100 can appropriately execute processing related to advertisement output.

Also, in the information processing apparatus 100 according to the embodiment, the determination unit 132 receives input information including user information of the user and determines one advertisement using a prediction model that predicts a predetermined behavior of the user.

As a result, the information processing apparatus 100 according to the embodiment receives input information including user information, uses a prediction model that predicts a predetermined behavior of the user, and determines one advertisement to output an advertisement. can be properly determined. Therefore, the information processing apparatus 100 can appropriately execute processing related to advertisement output.

In addition, in the information processing apparatus 100 according to the embodiment, the determination unit 132 determines one advertisement using a prediction model whose input is input information including store information of a store to be advertised.

As a result, the information processing apparatus 100 according to the embodiment determines one advertisement using a prediction model that receives input information including store information of a store to be advertised, so that the advertisement to be output is appropriately selected. can be determined to Therefore, the information processing apparatus 100 can appropriately execute processing related to advertisement output.

In addition, in the information processing apparatus 100 according to the embodiment, the acquisition unit 131 acquires position information regarding a user riding a mobile object. The decision unit 132 decides the output timing of the advertisement by the voice output means mounted on the moving body.

As a result, the information processing apparatus 100 according to the embodiment determines the output timing of the advertisement to the user by the voice output means mounted on the mobile body, based on the position information about the user riding on the mobile body, so that the appropriate timing is obtained. can output advertisements to users. Therefore, the information processing apparatus 100 can appropriately execute processing related to advertisement output.

In addition, in the information processing apparatus 100 according to the embodiment, the acquisition unit 131 acquires position information regarding the user who owns the mobile terminal. The determination unit 132 determines the output timing of the advertisement by the voice output means of the mobile terminal.

As a result, the information processing apparatus 100 according to the embodiment determines the timing of outputting the advertisement to the user by the voice output means of the mobile terminal based on the position information about the user who owns the mobile terminal, thereby enabling the advertisement to be displayed at an appropriate timing. Advertisements can be output to users. Therefore, the information processing apparatus 100 can appropriately execute processing related to advertisement output.

Further, the information processing apparatus 100 according to the embodiment has a determination unit 133 . Acquisition unit 131 acquires behavior information after contact with the advertisement of the user. Based on the behavior information acquired by the acquisition unit 131, the determination unit 133 determines whether or not the user performs a predetermined behavior due to the advertisement.

As a result, the information processing apparatus 100 according to the embodiment appropriately determines the effectiveness of the advertisement by determining whether or not the user performs the predetermined behavior due to the advertisement based on the behavior information after the user comes into contact with the advertisement. be able to. Therefore, the information processing apparatus 100 can appropriately execute processing related to advertisement output.

Further, in the information processing apparatus 100 according to the embodiment, the determination unit 133 determines whether or not the user has performed a predetermined action based on the behavior information within a predetermined period of time after the user's contact with the advertisement.

As a result, the information processing apparatus 100 according to the embodiment determines whether or not the user performs a predetermined action based on the action information within a predetermined period of time from the user's contact with the advertisement, thereby appropriately increasing the effectiveness of the advertisement. can judge. Therefore, the information processing apparatus 100 can appropriately execute processing related to advertisement output.

In addition, in the information processing apparatus 100 according to the embodiment, the acquisition unit 131 acquires behavior information including location information about the user and store location information indicating the location of the store targeted for advertisement. The determination unit 133 determines whether or not the user performs a predetermined action based on the location information and the store location information.

As a result, the information processing apparatus 100 according to the embodiment determines whether or not the user performs a predetermined action based on the location information about the user and the store location information indicating the location of the store targeted for advertisement. effect can be determined appropriately. Therefore, the information processing apparatus 100 can appropriately execute processing related to advertisement output.

Further, in the information processing apparatus 100 according to the embodiment, the determination unit 133 determines whether or not the user performs a predetermined action according to whether or not the user uses the store targeted by the advertisement.

As a result, the information processing apparatus 100 according to the embodiment can appropriately determine the effect of the advertisement by determining whether or not the user performs a predetermined action according to whether or not the user uses the store targeted by the advertisement. can be done. Therefore, the information processing apparatus 100 can appropriately execute processing related to advertisement output.

In addition, in the information processing apparatus 100 according to the embodiment, the acquisition unit 131 acquires utterance information related to user's utterance. The determination unit 133 determines whether or not the user performs a predetermined action according to whether or not the user speaks about the advertisement based on the speech information.

As a result, the information processing apparatus 100 according to the embodiment appropriately determines the effectiveness of the advertisement by determining whether or not the user performs a predetermined action according to whether or not the user has spoken about the advertisement based on the user's speech information. can do. Therefore, the information processing apparatus 100 can appropriately execute processing related to advertisement output.

Further, in the information processing apparatus 100 according to the embodiment, the determination unit 133 determines whether or not there is a user's action that benefits the advertiser of the advertisement.

Accordingly, the information processing apparatus 100 according to the embodiment can appropriately determine the effectiveness of the advertisement by determining whether or not there is a user's action leading to the profit of the advertiser of the advertisement. Therefore, the information processing apparatus 100 can appropriately execute processing related to advertisement output.

[6. Hardware configuration]
The information processing apparatus 100 according to the embodiments described above is implemented by a computer 1000 configured as shown in FIG. 12, for example. FIG. 12 is a hardware configuration diagram showing an example of a computer that implements the functions of the information processing apparatus. Computer 1000 has CPU 1100 , RAM 1200 , ROM 1300 , HDD (Hard Disk Drive) 1400 , communication interface (I/F) 1500 , input/output interface (I/F) 1600 and media interface (I/F) 1700 .

The CPU 1100 operates based on programs stored in the ROM 1300 or HDD 1400 and controls each section. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 is started up, a program depending on the hardware of the computer 1000, and the like.

The HDD 1400 stores programs executed by the CPU 1100, data used by the programs, and the like. Communication interface 1500 receives data from other devices via network N, sends the data to CPU 1100, and transmits data generated by CPU 1100 to other devices via network N. FIG.

The CPU 1100 controls output devices such as displays and printers, and input devices such as keyboards and mice, through an input/output interface 1600 . CPU 1100 acquires data from an input device via input/output interface 1600 . CPU 1100 also outputs the generated data to an output device via input/output interface 1600 .

Media interface 1700 reads programs or data stored in recording medium 1800 and provides them to CPU 1100 via RAM 1200 . CPU 1100 loads such a program from recording medium 1800 onto RAM 1200 via media interface 1700, and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or a PD (Phase change rewritable disc), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. etc.

For example, when the computer 1000 functions as the information processing apparatus 100 according to the embodiment, the CPU 1100 of the computer 1000 implements the functions of the control unit 130 by executing programs loaded on the RAM 1200 . The CPU 1100 of the computer 1000 reads these programs from the recording medium 1800 and executes them, but as another example, these programs may be acquired via the network N from another device.

As described above, some of the embodiments and modifications of the present application have been described in detail with reference to the drawings. It is possible to carry out the present invention in other forms with modifications and improvements.

[7. others〕
Further, among the processes described in the above embodiments and modifications, all or part of the processes described as being performed automatically can be performed manually, or described as being performed manually. All or part of the processing can also be performed automatically by known methods. In addition, information including processing procedures, specific names, various data and parameters shown in the above documents and drawings can be arbitrarily changed unless otherwise specified. For example, the various information shown in each drawing is not limited to the illustrated information.

Also, each component of each device illustrated is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution and integration of each device is not limited to the one shown in the figure, and all or part of them can be functionally or physically distributed and integrated in arbitrary units according to various loads and usage conditions. Can be integrated and configured.

Also, the above-described embodiments and modifications can be appropriately combined within a range that does not contradict the processing content.

Also, the above-mentioned "section, module, unit" can be read as "means" or "circuit". For example, the acquisition unit can be read as acquisition means or an acquisition circuit.

1 information processing system 100 information processing device 121 user information storage unit 122 store information storage unit 123 advertisement information storage unit 124 determination information storage unit 125 action information storage unit 130 control unit 131 acquisition unit 132 determination unit 133 determination unit 134 provision unit 10 user terminal (terminal device)
20 store terminal N network

Claims (15)

an acquisition unit for acquiring location information about a user, context information indicating the user's situation, which indicates whether the user has spoken or not, and frequency information indicating the number of times an advertisement has been output;
Based on the position information acquired by the acquisition unit , the number of times information , and the time at which the advertisement to be output is determined , the advertisement that satisfies the advertisement distribution conditions regarding range, time period, and number of times is displayed to the user. determines an advertisement to be output to the user terminal used by the user, and outputs the advertisement to be output to the user terminal used by the user based on a comparison between the context information and the output timing condition of the advertisement to be output to the user terminal. a determination unit that determines timing;
An information processing device comprising: The acquisition unit
The information processing apparatus according to claim 1, wherein the context information is acquired based on sensor information detected by a predetermined sensor. The decision unit
3. The information processing apparatus according to claim 1, wherein the output timing of the advertisement is determined according to whether the user's situation based on the context information satisfies a predetermined condition. The acquisition unit
Acquiring store location information indicating the location of the store targeted for the advertisement;
The decision unit
4. The information processing apparatus according to any one of claims 1 to 3, wherein the output timing of the advertisement is determined based on the location information and the store location information. The decision unit
5. The information processing apparatus according to claim 4, wherein the output timing of the advertisement is determined depending on whether the user's position is within a predetermined range from the store. The acquisition unit
obtaining advertiser information about an advertiser of said advertisement;
The decision unit
The information processing apparatus according to any one of claims 1 to 5, wherein the output timing of the advertisement is determined based on the advertiser information. The acquisition unit
obtaining the advertiser information including the advertiser's industry;
The decision unit
7. The information processing apparatus according to claim 6, wherein the output timing of the advertisement is determined based on time information based on the type of business of the advertiser. The decision unit
The information processing apparatus according to any one of claims 1 to 7, wherein one advertisement to be output is determined based on a predetermined criterion among a plurality of advertisements determined to be output timing. The decision unit
The information processing apparatus according to claim 8, wherein the one advertisement is determined based on the user information of the user. The decision unit
10. The information according to claim 8 or 9, wherein input information including the user information of the user is input, and the one advertisement is determined using a prediction model that predicts a predetermined behavior of the user. processing equipment. The decision unit
11. The information processing apparatus according to claim 10, wherein the one advertisement is determined using the prediction model whose input is the input information including store information of the store targeted for the advertisement. The acquisition unit
Acquiring the location information about the user riding a mobile object;
The decision unit
The information processing apparatus according to any one of claims 1 to 11, wherein the information processing apparatus determines an advertisement output timing by the user terminal mounted on the mobile object. The acquisition unit
obtaining the location information about the user who owns the user terminal;
The decision unit
12. The information processing apparatus according to any one of claims 1 to 11, wherein the information processing apparatus determines an advertisement output timing by the user terminal . A computer-executed information processing method comprising:
an acquisition step of acquiring location information about a user, context information indicating the user's situation, which is context information indicating whether or not the user has spoken, and frequency information indicating the number of times an advertisement has been output;
Based on the location information acquired in the acquisition step , the number of times information , and the time at which the advertisement to be output is determined , the advertisement that satisfies the advertisement distribution conditions regarding range, time period, and number of times is displayed to the user. determines an advertisement to be output to the user terminal used by the user, and outputs the advertisement to be output to the user terminal used by the user based on a comparison between the context information and the output timing condition of the advertisement to be output to the user terminal. a determining step for determining timing;
An information processing method comprising: an acquisition procedure for acquiring location information about a user, context information indicating the state of the user, which indicates whether or not the user has spoken, and frequency information indicating the number of times an advertisement has been output;
Based on the location information acquired by the acquisition procedure , the number of times information , and the time at which the advertisement to be output is determined , the advertisement that satisfies the advertisement distribution conditions regarding the range, time period, and number of times is displayed to the user. determines an advertisement to be output to the user terminal used by the user, and outputs the advertisement to be output to the user terminal used by the user based on a comparison between the context information and the output timing condition of the advertisement to be output to the user terminal. a decision procedure for determining timing;
An information processing program characterized by causing a computer to execute

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