JP7574236B2 - 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.

A variety of technologies have been proposed to analyze the vast amounts of data exchanged over the Internet from various aspects, with the aim of utilizing the data in business situations, etc. For example, a technology is known that analyzes customers by taking into account seasonal trends using purchase history data, etc.

JP 2015-146145 A

However, conventional technology leaves room for further improvement in terms of providing more useful information.

The present application has been made in consideration of the above, and aims to provide an information processing device, an information processing method, and an information processing program that can provide more useful information.

The information processing device according to the present application includes a registration unit, a learning unit, and a providing unit. The registration unit registers, in a private area, user information relating to a user, the first user information held by a first business operator and the second user information held by a second business operator. In the private area, the learning unit performs learning of a model based on the second user information, in which the first user information is input and classification information relating to the classification of the second user information is output. The providing unit provides the classification information output from the model to the second business operator.

According to one aspect of the embodiment, it is possible to provide more useful information.

FIG. 1 is a diagram showing information processing executed by an information processing apparatus according to an embodiment. FIG. 2 is a diagram illustrating an example of the configuration of an information processing system according to the embodiment. FIG. 3 is a diagram illustrating an example of the configuration of the information processing apparatus according to the embodiment. FIG. 4 is a diagram illustrating an example of the first user information. FIG. 5 is a diagram illustrating an example of the second user information. FIG. 6 is a diagram illustrating an example of model information. FIG. 7 is a flowchart illustrating a processing procedure of the learning process executed by the information processing apparatus according to the embodiment. FIG. 8 is a flowchart illustrating a processing procedure of the providing process executed by the information processing apparatus according to the embodiment. FIG. 9 is a diagram illustrating an example of a hardware configuration.

Below, the information processing device, information processing method, and information processing program according to the present application will be described in detail with reference to the drawings. Note that the information processing device, information processing method, and information processing program according to the present application are not limited to these embodiments. In addition, the same parts in the following embodiments will be denoted by the same reference numerals, and duplicated descriptions will be omitted.

(Embodiment)
First, information processing executed by an information processing device according to an embodiment will be described with reference to Fig. 1. Fig. 1 is a diagram showing information processing executed by an information processing device according to an embodiment. Fig. 1 illustrates an operation example of an information processing system S including an information processing device 1 according to an embodiment. As shown in Fig. 1, the information processing system S according to an embodiment includes an information processing device 1, a first operator terminal 100, and a second operator terminal 200.

The first business operator terminal 100 is a terminal device managed by the first business operator, and the second business operator terminal 200 is a terminal device managed by the second business operator. In this disclosure, the first business operator is an advertising client that requests the second business operator to distribute advertisements, and the second business operator is an advertising distributor that distributes advertisements.

The information processing device 1 is, for example, a server device managed by a second operator, but may also be a server device managed by a first operator or a third operator.

The first operator terminal 100 also has first user information related to users who have used the business provided by the first operator. The second operator terminal 200 also has second user information related to users who have used the business provided by the second operator. Note that, as will be described in detail later, the first user information is linked to identification information assigned to the second user information. In other words, when the first user information and the second user information each include the same user, the first user information corresponding to that user is linked to the identification information in the second user information.

As shown in FIG. 1, in the information processing system S according to the embodiment, first, the information processing device 1 acquires first user information and second user information from the first operator terminal 100 and the second operator terminal 200, respectively, and registers them in the private area CR (step S1). Specifically, the information processing device 1 acquires second user information corresponding to the user included in the first user information from the second operator terminal 200, among the second user information held by the second operator terminal 200, from the second operator terminal 200, and registers it in the private area CR.

The private area CR is an area that cannot be accessed from external devices such as the first business operator terminal 100 and the second business operator terminal 200, a so-called clean room. In other words, the first user information and the second user information registered in the private area CR cannot be viewed by the first business operator and the second business operator. In other words, the first business operator cannot view the second user information held by the second business operator, and the second business operator cannot view the first user information held by the first business operator, so that the confidentiality of the first user information and the second user information can be ensured.

Next, the information processing device 1 groups users in the private area CR based on the first user information (step S2). FIG. 1 shows an example in which each user is mapped to the private area CR based on the feature amount of the first user information. Note that in FIG. 1, one black circle corresponds to one user, and each black circle is associated with the first user information and the second user information.

In addition, in FIG. 1, the circle indicated by the dashed line corresponds to one group grouped by the information processing device 1. For example, when the first user information includes attribute information of a car enthusiast, the information processing device 1 groups users who are car enthusiasts into one group.

Next, the information processing device 1 learns a model that receives the first user information as input and outputs classification information related to the classification of the second user information (step S3). Specifically, the information processing device 1 learns the model based on the second user information.

For example, the information processing device 1 performs machine learning using the second user information corresponding to the users grouped based on the first user information as training data, thereby generating a model that outputs classification information for classifying the second user information. Such a model is generated for each group. In addition, the groups may be specified by the first business operator or the second business operator, or may be grouped by a predetermined feature amount. Note that, for example, a linear model algorithm may be used as the machine learning algorithm.

The classification information output from the model is, for example, a vector indicating the feature amount of the second user information, and more specifically, a vector perpendicular to the separation plane. The classification information may also be a function indicating the linearity in the mapping area in which the second user information is mapped.

The information processing device 1 then accepts a group designation from the first operator terminal 100 (step S3). The first operator designates a desired group by selecting it via the first operator terminal 100 from the list of groups for which models have been generated. The first operator may also designate a new group based on features included in the first user information. In such a case, the information processing device 1 learns a new model based on the designated new group.

Then, the information processing device 1 inputs the specified group into the model as first user information, and outputs (generates) classification information from the model (step S5). For example, the information processing device 1 outputs a vector indicating the feature amount of the second user from the model. The information processing device 1 may also output a score indicating such vector from the model, and generate a vector based on the output score.

Note that while a linear model has been given as an example above, the model may also be a set of rules for inputting the first user information and outputting classification information, such as a Gradient Boosting Decision Tree (GBDT).

Next, the information processing device 1 provides the classification information output (or generated) from the model to the second operator via the second operator terminal 200 (step S6). Then, the second operator uses the provided classification information to classify second user information (including users other than the user of the first user information) held by the second operator.

In other words, the second business operator terminal 200 uses the classification information to classify users to whom the advertisement requested by the first business operator will be delivered. That is, the information processing device 1 provides the second business operator with classification information that serves as an index for determining the users to whom the advertisement will be delivered.

As a result, the first business can deliver advertisements to users who have never used the first business's business (users who have used the second business's business), thereby expanding the number of users who use the first business's business (expanding sales channels). Furthermore, the second business can use classification information that classifies the second user information based on the first user information, so that users to whom advertisements are to be delivered can be selected with greater accuracy. In other words, the information processing device 1 according to the embodiment can provide more useful information. Furthermore, the information processing device 1 can ensure the anonymity of the first user information and the second user information by registering the first user information and the second user information in the private area CR to learn a model and providing the output of the model.

Next, a configuration example of an information processing system S according to an embodiment will be described with reference to FIG. 2. FIG. 2 is a block diagram showing a configuration example of an information processing system S according to an embodiment. As shown in FIG. 2, in the information processing system S according to an embodiment, an information processing device 1, a first operator terminal 100, and a second operator terminal 200 are connected to a network N by wire or wirelessly. The network N is, for example, the Internet, a Wide Area Network (WAN), a Local Area Network (LAN), or the like.

The information processing device 1 is a server device that executes the information processing method according to the embodiment. In the private area CR, the information processing device 1 learns a model that receives first user information as input and outputs classification information related to the classification of second user information, and provides the output of the model to the second business operator.

In addition, the information processing device 1 is an information processing device that provides API (Application Programming Interface) services for various applications (hereinafter, apps) and the like, and various data, to the first operator terminal 100 and the second operator terminal 200, and is realized by a server device, a cloud system, etc.

The information processing device 1 may also be an information processing device that provides some kind of web service online to the user terminal of each user. For example, the information processing device 1 may provide services such as Internet connection, search services, SNS (Social Networking Service), electronic commerce (EC), electronic payment, online games, online banking, online trading, accommodation and ticket reservations, video and music distribution, news, maps, route searches, route guidance, line information, operation information, and weather forecasts as web services. In practice, the information processing device 1 may cooperate with various servers that provide the above-mentioned web services, and may act as an intermediary for the web services or be responsible for processing the web services.

The first business operator terminal 100 is an information processing device managed by the first business operator. For example, the first business operator independently and repeatedly carries out a business of providing a specific product or service to consumers. The first business operator is also a client that requests advertising of the business from the second business operator. The first business operator terminal 100 is typically a desktop or notebook type personal computer. The first business operator terminal 100 may be realized by any information processing terminal such as a smartphone, tablet, or PDA (Personal Digital Assistant).

In addition, the first operator terminal 100 can display information provided by the information processing device 1 using a web browser or an application.

The second business operator terminal 200 is an information processing device managed by the second business operator. For example, the second business operator independently and repeatedly carries out a business of providing consumers with a specific product or service. The second business operator is also an advertisement distributor that distributes advertisements requested by the first business operator. The second business operator terminal 200 is typically a desktop or notebook personal computer. The second business operator terminal 200 may be realized by any information processing terminal such as a smartphone, tablet, or PDA (Personal Digital Assistant).

In addition, the second operator terminal 200 can display information provided by the information processing device 1 using a web browser or application.

Next, an example configuration of the information processing device 1 will be described with reference to FIG. 3.

Fig. 3 is a diagram showing an example of the configuration of an information processing device 1 according to an embodiment. As shown in Fig. 3, the information processing device 1 has a communication unit 2, a control unit 3, and a storage unit 4. The control unit 3 includes a reception unit 31, a registration unit 32, a learning unit 33, and a provision unit 34. The storage unit 4 stores first user information 41, second user information 42, and model information 43.

The communication unit 2 is realized, for example, by a network interface card (NIC). The communication unit 2 is connected to the network via a wired or wireless connection.

The control unit 3 is a controller, and is realized, for example, by a processor such as a CPU (Central Processing Unit) or MPU (Micro Processing Unit) that executes various programs (corresponding to an example of a provided program) stored in a storage device inside the information processing device 1 using a RAM or the like as a working area. The control unit 3 is also a controller, and may be realized, for example, by an integrated circuit such as an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or a GPGPU (General Purpose Graphic Processing Unit).

The storage unit 4 is realized, for example, by a semiconductor memory element such as a random access memory (RAM) or a flash memory, or a storage device such as a hard disk or an optical disk.

The first user information 41 is information about a user who has used the services provided by the first operator. FIG. 4 is a diagram showing an example of the first user information 41. The first user information 41 is acquired from the first operator terminal 100 and stored in the memory unit 4. As shown in FIG. 4, the first user information 41 includes items such as "first ID", "second ID", and "attribute information".

The "first ID" is identification information that identifies a user and is assigned by a first business operator. The "second ID" is identification information that identifies a user and is assigned by a second business operator. In other words, the first user information 41 is linked to the identification information included in the second user information 42.

"Attribute information" is information about the attributes of a user, including psychographic attributes, demographic attributes, etc. "Attribute information" is attribute information entered by the user when the user uses a business provided by the first business operator.

The second user information 42 is information about a user who has used the services provided by the second operator. FIG. 5 is a diagram showing an example of the second user information 42. The second user information 42 is acquired from the second operator terminal 200 and stored in the memory unit 4. As shown in FIG. 5, the second user information 42 includes items such as "second ID" and "attribute information."

The "second ID" is identification information that identifies the user and is assigned by the second business operator. The "attribute information" is information about the attributes of the user, including psychographic attributes and demographic attributes. The "attribute information" is attribute information entered by the user when using a business provided by the second business operator.

The model information 43 is a model generated based on the learning results of the learning unit 33, which will be described later. FIG. 6 is a diagram showing an example of the model information 43. As shown in FIG. 6, the model information 43 includes items such as "model ID" and "model information."

"Model ID" is identification information that identifies a model. "Model information" includes information about the model. Model information includes, for example, required input (i.e., first user information), output information (i.e., classification information), information about the function that represents the model, etc.

Next, we will explain each function of the control unit 3 of the information processing device 1 (reception unit 31, registration unit 32, learning unit 33, and provision unit 34).

The reception unit 31 receives various types of information. For example, the reception unit 31 receives first user information from the first operator terminal 100 and stores it in the storage unit 4 as first user information 41. The reception unit 31 also receives second user information from the second operator terminal 200 and stores it in the storage unit 4 as second user information 42.

The reception unit 31 also receives first user information that serves as input for the model. For example, the reception unit 31 receives a designation of a group into which users are grouped.

The registration unit 32 registers the first user information 41 and the second user information 42 received by the reception unit 31 in the private area CR. Specifically, the registration unit 32 acquires, from the second operator terminal 200, the second user information corresponding to the user included in the first user information among the second user information held by the second operator terminal 200, and registers the second user information in the private area CR.

The private area CR is an area that cannot be accessed from external devices such as the first business operator terminal 100 and the second business operator terminal 200, a so-called clean room. In other words, the first user information and the second user information registered in the private area CR cannot be viewed by the first business operator and the second business operator. In other words, the first business operator cannot view the second user information held by the second business operator, and the second business operator cannot view the first user information held by the first business operator, so that the confidentiality of the first user information and the second user information can be ensured.

The learning unit 33, in the private area CR, learns a model based on the second user information, which inputs the first user information and outputs classification information related to the classification of the second user information. For example, the learning unit 33 performs machine learning using the second user information corresponding to the users grouped based on the first user information as training data, to generate a model that outputs classification information for classifying the second user information.

Such a model is generated for each group. The groups may be specified by the first operator or the second operator, or may be grouped by a predetermined feature. In other words, the learning unit 33 performs a learning process in which the users in the first user information are grouped based on the specification of the first operator, and a model is generated for each group using the second user information. Note that the machine learning algorithm may be, for example, a linear model algorithm.

The classification information output from the model is, for example, a vector indicating the feature amount of the second user information, and more specifically, a vector perpendicular to the separation plane. The classification information may also be a function indicating the linearity in the mapping area in which the second user information is mapped.

Based on the designation of the first user information (designation of a group) accepted by the acceptance unit 31, the provision unit 34 inputs the designated group into the model as the first user information, outputs (generates) classification information from the model, and provides it to the second operator via the second operator terminal 200. For example, the provision unit 34 outputs and provides a vector indicating the feature amount of the second user from the model. The provision unit 34 may also output a score indicating such a vector from the model, and generate a vector based on the output score.

Note that while a linear model has been given as an example above, the model may also be a set of rules for inputting the first user information and outputting classification information, such as a Gradient Boosting Decision Tree (GBDT).

Then, the second business uses the provided classification information to classify the second user information (including users other than the users of the first user information) held by the second business.

In other words, the second business operator terminal 200 uses the classification information to classify users to whom the advertisement requested by the first business operator will be delivered. That is, the information processing device 1 provides the second business operator with classification information that serves as an index for determining the users to whom the advertisement will be delivered.

Next, the processing procedure of the process executed by the information processing device 1 according to the embodiment will be described with reference to Figs. 7 and 8. Fig. 7 is a flowchart showing the processing procedure of the learning process executed by the information processing device 1 according to the embodiment. Fig. 8 is a flowchart showing the processing procedure of the provision process executed by the information processing device 1 according to the embodiment.

First, the learning process will be described with reference to FIG. 7. As shown in FIG. 7, the control unit 3 registers the first user information 41 acquired from the first operator terminal 100 in the private area CR (step S101).

The control unit 3 also registers the second user information 42 acquired from the second operator terminal 200 in the private area CR (step S102).

Then, in the private area CR, the control unit 3 learns a model based on the second user information 42, in which the first user information 41 is input and classification information related to the classification of the second user information 42 is output (step S103), and ends the process.

Next, the provision process will be described with reference to FIG. 8. As shown in FIG. 8, the control unit 3 accepts a group designation from the first operator terminal 100 (step S201).

The control unit 3 then inputs the first user information 41 corresponding to the specified group into the model and outputs the classification information (step S202).

Then, the control unit 3 provides the classification information output from the model to the second operator terminal 200 (step S203) and ends the process.

〔others〕
In addition, among the processes described in the above embodiments, some of the processes described as being performed automatically can be performed manually. Alternatively, all or some of the processes described as being performed manually can be performed automatically using a known method. In addition, the information including the processing procedures, specific names, various data, and parameters shown in the above documents and drawings can be changed arbitrarily unless otherwise specified. For example, the various information shown in each drawing is not limited to the illustrated information.

In addition, each component of each device shown in the figure is a functional concept, and does not necessarily have to be physically configured as shown in the figure. In other words, the specific form of distribution and integration of each device is not limited to that shown in the figure, and all or part of them can be functionally or physically distributed and integrated in any unit depending on various loads, usage conditions, etc.

For example, a part or all of the memory unit 4 shown in FIG. 3 may be stored in a storage server or the like, rather than being stored in each device. In this case, each device obtains various pieces of information by accessing the storage server.

[Hardware configuration]
The information processing device 1 according to the embodiment described above is realized by a computer 1000 having a configuration as shown in Fig. 9, for example. Fig. 9 is a diagram showing an example of a hardware configuration. The computer 1000 is connected to an output device 1010 and an input device 1020, and has a configuration in which a calculation device 1030, a primary storage device 1040, a secondary storage device 1050, an output IF (Interface) 1060, an input IF 1070, and a network IF 1080 are connected by a bus 1090.

The arithmetic device 1030 operates based on programs stored in the primary storage device 1040 and the secondary storage device 1050, programs read from the input device 1020, and the like, and executes various processes. The primary storage device 1040 is a memory device, such as a RAM, that temporarily stores data used by the arithmetic device 1030 for various calculations. The secondary storage device 1050 is a storage device in which data used by the arithmetic device 1030 for various calculations and various databases are registered, and is realized by a ROM (Read Only Memory), a HDD (Hard Disk Drive), a flash memory, or the like.

The output IF 1060 is an interface for transmitting information to be output to an output device 1010 that outputs various types of information, such as a monitor or printer, and is realized, for example, by a connector conforming to a standard such as USB (Universal Serial Bus), DVI (Digital Visual Interface), or HDMI (registered trademark) (High Definition Multimedia Interface). The input IF 1070 is an interface for receiving information from various input devices 1020, such as a mouse, keyboard, scanner, etc., and is realized, for example, by a USB.

The input device 1020 may be a device that reads information from, for example, an optical recording medium such as a CD (Compact Disc), a DVD (Digital Versatile Disc), or a PD (Phase change rewritable Disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. The input device 1020 may also be an external storage medium such as a USB memory.

The network IF 1080 receives data from other devices via the network N and sends it to the computing device 1030, and also transmits data generated by the computing device 1030 to other devices via the network N.

The arithmetic unit 1030 controls the output device 1010 and the input device 1020 via the output IF 1060 and the input IF 1070. For example, the arithmetic unit 1030 loads a program from the input device 1020 or the secondary storage device 1050 onto the primary storage device 1040 and executes the loaded program.

For example, when the computer 1000 functions as the information processing device 1, the arithmetic unit 1030 of the computer 1000 realizes the functions of the control unit 3 by executing a program loaded onto the primary storage device 1040.

〔effect〕
As described above, the information processing device 1 according to the embodiment includes a registration unit 32, a learning unit 33, and a providing unit 34. The registration unit 32 registers user information related to a user, that is, first user information 41 held by a first business operator and second user information 42 held by a second business operator, in a private area CR. The learning unit 33 performs learning of a model based on the second user information 42 in the private area CR, in which the first user information 41 is input and classification information related to the classification of the second user information 42 is output. The providing unit 34 provides the classification information output from the model to the second business operator. With such a configuration, more useful information can be provided.

Although several embodiments of the present application have been described in detail above with reference to the drawings, these are merely examples, and the present invention can be embodied in other forms that incorporate various modifications and improvements based on the knowledge of those skilled in the art, including the forms described in the disclosure section of the invention.

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

In addition, each component of each device shown in the figure is a functional concept, and does not necessarily have to be physically configured as shown in the figure. In other words, the specific form of distribution and integration of each device is not limited to that shown in the figure, and all or part of them can be functionally or physically distributed and integrated in any unit depending on various loads, usage conditions, etc.

In addition, the processes described in the above embodiments can be combined as appropriate to the extent that they do not cause any contradictions in the process content.

The above-mentioned "section, module, unit" can be read as "means" or "circuit." For example, the control unit 3 can be read as control means or control circuit.

Reference Signs List 1 Information processing device 2 Communication unit 3 Control unit 4 Storage unit 31 Reception unit 32 Registration unit 33 Learning unit 34 Provision unit 41 First user information 42 Second user information 43 Model information 100 First business operator terminal 200 Second business operator terminal CR Private area N Network S Information processing system

Claims (7)

a registration unit that registers user information related to a user, the user information being first user information held by a first business operator and second user information held by a second business operator, in a private area;
a learning unit that performs learning of a model in the private area based on the second user information, the model receiving the first user information as an input and outputting classification information related to a classification of the second user information;
a providing unit that provides the classification information output from the model to the second business operator. The learning unit is
The information processing apparatus according to claim 1 , further comprising: a learning process for generating the model that groups the users based on the first user information and outputs the classification information for each group. The learning unit is
generating the model that outputs a vector indicating a feature amount of the second user information;
The providing unit is
The information processing apparatus according to claim 1 , further comprising: providing the vector output from the model as the classification information. The first business entity is an advertising client that requests the second business entity to distribute an advertisement,
The providing unit is
The information processing device according to claim 1 , further comprising: providing said classification information as an index for determining said users to be destinations of advertisements. The second user information is
Identification information for identifying the user, the identification information including identification information issued by the second carrier;
The first user information is
The information processing device according to claim 1 , wherein the identification information included in the second user information is linked. 1. A computer-implemented information processing method, comprising:
a registration step of registering user information relating to a user, the user information being first user information held by a first business operator and second user information held by a second business operator, in a private area;
a learning process for learning a model based on the second user information in the private area, the model inputting the first user information and outputting classification information related to a classification of the second user information;
and providing the classification information output from the model to the second business operator. a registration step of registering user information relating to a user, the user information being first user information held by a first business operator and second user information held by a second business operator, in a private area;
a learning procedure for learning a model in the private area based on the second user information, the model inputting the first user information and outputting classification information related to a classification of the second user information;
and a provision step of providing the classification information output from the model to the second business operator.

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