JP7348233B2 - 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, attempts have been made to visualize and utilize data. In connection with such attempts, for example, methods and systems for efficiently performing data analysis using data visualization have been proposed.

JP2015-219622A

However, when comparing and utilizing data aggregated under different conditions, a system is required that allows users to easily check whether the condition settings for each data are appropriate before visualizing the data.

The present application has been made in view of the above, and an object of the present application is to provide an information processing device, an information processing method, and an information processing program that can easily confirm whether the condition settings of data to be compared with each other are appropriate. With the goal.

The information processing device according to the present application includes a totaling section, a determining section, and a providing section. The aggregation unit aggregates data groups matching the condition settings for each of the plurality of condition settings. The determination unit determines the state of each data group totaled by the totalization unit. The providing unit provides the user with preview information including the state of each data group determined by the determining unit.

According to one aspect of the embodiment, it is possible to easily check whether the condition settings for data to be compared with each other are appropriate.

FIG. 1 is a diagram illustrating an example of information processing according to an embodiment. FIG. 2 is a diagram illustrating a display example of a preview window according to the embodiment. FIG. 3 is a diagram illustrating a display example of a preview window according to the embodiment. FIG. 4 is a diagram illustrating a configuration example of an information processing device according to an embodiment. FIG. 5 is a diagram showing an overview of reference information according to the embodiment. FIG. 6 is a flowchart illustrating an example of a processing procedure by the information processing apparatus according to the embodiment. FIG. 7 is a hardware configuration diagram showing an example of a computer that implements the functions of the information processing device according to the embodiment.

DESCRIPTION OF THE PREFERRED EMBODIMENTS An information processing apparatus, an information processing method, and an embodiment of an information processing program (hereinafter referred to as "embodiments") according to the present application will be described in detail below with reference to the drawings. Note that the information processing apparatus, information processing method, and information processing program according to the present application are not limited to the embodiments described below. Furthermore, the embodiments described below can be combined as appropriate within the range that does not conflict with the processing contents. Further, in the embodiments described below, the same parts are given the same reference numerals, and redundant explanations will be omitted.

[1. Overview of information processing]
Hereinafter, an example of information processing realized by the information processing apparatus according to the embodiment will be described with reference to the drawings. FIG. 1 is a diagram illustrating an example of information processing according to an embodiment.

As shown in FIG. 1, the information processing system 1 according to the embodiment includes a terminal device 10 and an information processing device 100. Note that the information processing system 1 is not limited to the example shown in FIG. 1, and may include a plurality of terminal devices 10 and information processing apparatuses 100. Further, the information processing device 100 is not limited to the example described below, and can execute the information processing described below in parallel on any number of terminal devices 10.

The terminal device 10 and the information processing device 100 are each connected to a network N (see FIG. 4) by wire or wirelessly. The network N is a communication network such as a LAN (Local Area Network), a WAN (Wide Area Network), a telephone network (mobile phone network, fixed telephone network, etc.), a local IP (Internet Protocol) network, or the Internet. . The network N may include a wired network or a wireless network. The terminal device 10 and the information processing device 100 can communicate with each other through the network N.

The terminal device 10 is an information processing device used by a service user U to utilize a service provided by the information processing device 100. The terminal device 10 is realized by a smartphone, a tablet terminal, a notebook PC (Personal Computer), a desktop PC, a mobile phone, a PDA (Personal Digital Assistant), or the like.

The terminal device 10 can display information for using various services provided by the information processing device 100 using a web browser or an application. Note that when the terminal device 10 receives control information for realizing information display processing from the information processing device 100 or the like, it realizes the display processing according to the control information.

The information processing device 100 is an information processing device that executes information processing according to the embodiment. The information processing device 100 is realized by a server device, a cloud system, or the like. Note that the information processing device 100 may function as a distribution device that distributes control information to the terminal device 10 used by the service user U. Here, the control information is written in, for example, a script language such as JavaScript (registered trademark) or a style sheet language such as CSS (Cascading Style Sheets). Note that the application itself distributed from the information processing device 100 may be regarded as control information.

For example, the information processing device 100 can provide various services on the Internet to the service user U. Services provided by the information processing device 100 include search engine sites, news sites, technology commentary sites, shopping sites, finance sites (stock price sites), route search sites, map providing sites, travel sites, etc. , various services provided through restaurant introduction sites, web pages related to web blogs, etc. The information processing device 100 also includes various applications installed on the terminal device 10 (for example, a portal application, a news application, an auction application, a weather forecast application, a shopping application, a finance (stock price) application, a route search application, a map providing application, You can provide information to be displayed on travel apps, restaurant introduction apps, blog viewing apps, etc.

Further, the information processing device 100 can obtain information on the search word input by the service user U through the provision of the various services described above. Further, the information processing device 100 can accumulate information on the acquired search words as a search history (search log). Note that the information processing device 100 uses user attributes (for example, demographic attributes such as age, gender, region, etc., usage history of online content of various services, etc.) based on the operations and browsing of the service user U in various services. It is also possible to collect information such as psychographic attributes (estimated based on psychographic attributes, etc.), the behavior history of the service user U in various services, and store them in association with the user ID.

Further, the information processing device 100 can provide the service user U with a desk research tool for use in marketing activities, etc., as one of the provided services. The desk research tool provided by the information processing device 100 acquires information on candidate users who can become target users, and provides the information to the service user U, according to narrowing conditions arbitrarily set by the service user U, for example. By referring to the information provided by the desk research tool, the service user U can infer the interests of candidate users with desired attributes, which can be used to select target users.

For example, the information processing device 100 aggregates sample data based on a plurality of condition settings received from the service user U, and provides the service user U with preview information including information on the aggregated sample data.

Specifically, as shown in FIG. 1, upon receiving the condition setting J1 and the condition setting J2 from the terminal device 10, the information processing device 100 aggregates sample data matching the received condition setting J1 and condition setting J2, respectively. (Step S1).

The information processing device 100 also determines the state of each collected sample data (step S2). For example, the information processing apparatus 100 determines whether the volume of sample data matching condition setting J1 and the volume of sample data matching condition setting J2 each satisfy a predetermined criterion.

Furthermore, if either the volume of sample data that meets the condition setting J1 or the condition setting J2 does not meet a predetermined standard, the information processing device 100 configures a condition setting corresponding to the sample data that does not meet the predetermined standard. By excluding condition elements that are not common between condition setting J1 and condition setting J2 among the condition elements that constitute the condition setting corresponding to sample data that does not meet the predetermined criteria, sample data A conditional element that can improve the comparison accuracy between the two is specified (step S3).

For example, the information processing apparatus 100 determines that the volume of sample data that matches the condition setting J2 does not satisfy a predetermined standard, and that the volume of sample data that matches the condition setting J2 does not satisfy the predetermined criteria, and that the Assume that the condition element that is not common in both cases is the setting content of the search keyword (for example, see FIG. 2 or 3). At this time, the information processing apparatus 100 sets the keywords set as the search keywords forming the condition setting J1 and the search keywords forming the condition setting J2 among the keywords set as the search keywords forming the condition setting J2. By excluding any of the keywords that are different from the specified keywords from among the search keywords constituting the condition setting J2, a keyword that can improve the accuracy of comparison between sample data is specified. Note that the information processing apparatus 100 may specify a plurality of condition elements that can increase the accuracy of comparison between sample data. Moreover, the condition elements that are not common may include condition elements that are not similar and condition elements that are inconsistent.

Further, in step S3, if either the volume of the sample data that matches the condition setting J1 or the condition setting J2 does not meet the predetermined standard, the information processing apparatus 100 responds to the sample data that does not meet the predetermined standard. Condition elements that are not common between condition setting J1 and condition setting J2 among the condition elements that constitute the condition settings, and that constitute the condition settings that correspond to sample data that does not meet a predetermined standard, are excluded from other conditions. A condition element that can improve the accuracy of comparison between sample data may be specified by changing the element.

For example, the information processing apparatus 100 determines that the volume of sample data of condition setting J2 does not satisfy a predetermined standard, and that among the condition elements configuring condition setting J2, the volume of sample data of condition setting J2 is common between condition setting J1 and condition setting J2. Assume that the conditional element for not performing search keywords is the setting content of the search keyword (see FIG. 2 or 3). At this time, the information processing apparatus 100 sets the keywords set as the search keywords forming the condition setting J1 and the search keywords forming the condition setting J2 among the keywords set as the search keywords forming the condition setting J2. By changing any of the keywords that are different from the specified keywords to other keywords, the keywords before and after the change that can improve the accuracy of comparison between sample data are respectively identified. Note that the information processing apparatus 100 may specify a plurality of condition elements that can increase the accuracy of comparison between sample data. Moreover, the condition elements that are not common may include condition elements that are not similar and condition elements that are inconsistent.

Note that when identifying a condition element that can increase the accuracy of comparison between sample data, the information processing apparatus 100 desirably identifies a condition element that makes the volumes of sample data as equal as possible.

For example, if the accuracy of sample data matching condition setting J1 is high and the accuracy of sample data matching condition setting J2 is low, the information processing device 100 sets the volume of sample data matching condition setting J2 to condition setting J1. A condition element to be excluded from among the condition elements constituting the condition setting J2 is specified so as to approximate the volume of the matching sample data. Alternatively, the information processing device 100 selects other condition elements from among the condition elements constituting the condition setting J2 so that the volume of the sample data that matches the condition setting J2 approaches the volume of sample data that matches the condition setting J1. Identify the condition element before change and the condition element after change.

Further, the information processing device 100 provides the service user U with preview information including the state of the collected sample data by transmitting it to the terminal device 10 (step S4). Moreover, when the information processing device 100 specifies the condition element in step S3, the information processing device 100 can transmit proposal information suggesting the exclusion of the specified condition element or change to another condition element together with preview information to the terminal device 10. .

The service user U can check the state of the sample data that matches the condition setting J1 and the condition setting J2 through the preview window W displayed on the terminal device 10. The preview window W is displayed by, for example, a desk research tool.

An example of the preview window W displayed on the terminal device 10 will be described with reference to FIG. 2 or 3. FIG. 2 or 3 is a diagram showing a display example of a preview window according to the embodiment.

FIG. 2 shows an example of a preview window W that displays preview information including suggestion information for proposing to exclude some of the condition elements constituting the condition setting J2 in order to improve the comparison accuracy between sample data. It shows.

As shown in FIG. 2, the preview window W displayed on the terminal device 10 displays information W-1 indicating the state of sample data that matches a plurality of condition settings set by the service user U.

For example, in the example shown in FIG. 2, it is shown that the sample data that matches the condition setting J1 has a large volume and is highly accurate. For example, the information processing device 100 can determine that the data accuracy is high when the volume of sample data is equal to or greater than a predetermined threshold.

On the other hand, the example shown in FIG. 2 shows that the sample data that matches the condition setting J2 has a small volume and low data accuracy. For example, if the volume of sample data is less than a predetermined threshold, the information processing apparatus 100 can determine that the accuracy of the data is low.

Thereby, the information processing apparatus 100 can easily allow the service user U to confirm whether the condition settings for the data to be compared are appropriate before performing the comparison between the sample data. In addition, since it becomes possible to check in advance whether the condition settings are appropriate, it is expected that the processing cost of the system will be reduced and the usability will be improved.

Further, the preview window W shown in FIG. 2 is provided with a tab W-2 for mutually switching and displaying information regarding a plurality of condition settings set by the service user U. In FIG. 2, tab W-2 is shown switched to display information regarding condition setting J2.

Further, the preview window W shown in FIG. 2 displays detailed information W-3 indicating the contents of the condition settings set by the service user U. The detailed information W-3 includes a plurality of condition elements constituting condition settings, such as age, gender, and family structure.

Further, the preview window W shown in FIG. 2 displays proposal information W-4 that proposes excluding some condition elements in order to improve the accuracy of comparison between sample data. In the example shown in FIG. 2, by excluding "home appliance manufacturer A" set as a search keyword from among the condition elements configuring condition setting J2, sample data that matches condition setting J1 and condition setting J2 are combined. It has been shown that the accuracy of comparison with matching sample data is improved. Thereby, the information processing device 100 can provide the service user U with an opportunity to review the condition settings in advance before performing the comparison between sample data.

Further, the preview window W shown in FIG. 2 is provided with an execution button W-5 for executing final aggregation processing for comparing sample data. When the operation of the execution button W-5 is detected on the terminal device 10, the information processing device 100 executes the final aggregation process.

In addition, FIG. 3 displays preview information including suggestion information for suggesting changing some of the condition elements constituting the condition setting J2 to other condition elements in order to improve the comparison accuracy between sample data. An example of the preview window W shown in FIG.

As shown in FIG. 3, the preview window W displays proposal information W-4 that proposes changing some of the conditional elements to other elements in order to improve the accuracy of comparison between sample data. In the example shown in FIG. 2, sample data that matches condition setting J1 is created by changing "home appliance manufacturer A" set as a search keyword to "home appliance manufacturer B" from among the condition elements configuring condition setting J2. It has been shown that the accuracy of comparison with sample data matching condition setting J2 is improved. Thereby, the information processing device 100 can provide the service user U with an opportunity to review the condition settings in advance, without reducing the number of condition elements, before performing a comparison between sample data.

[2. Configuration of information processing device]
The configuration of the information processing device 100 according to the embodiment will be described using FIG. 4. FIG. 4 is a diagram illustrating a configuration example of an information processing device according to an embodiment.

As shown in FIG. 4, the information processing device 100 includes a communication section 110, a storage section 120, and a control section 130. Note that FIG. 4 shows an example of the configuration of the information processing apparatus 100, and the configuration is not limited to the configuration shown in FIG. 4, and may include other functional units other than those shown in FIG.

(Communication Department 110)
The communication unit 110 is connected to the network N by wire or wirelessly, for example, and transmits and receives information to and from other devices such as the terminal device 10 via the network N. The communication unit 110 is realized by, for example, a NIC (Network Interface Card), an antenna, or the like. The network N is a communication network such as a LAN (Local Area Network), a WAN (Wide Area Network), a telephone network (such as a mobile phone network or a fixed telephone network), a local IP (Internet Protocol) network, or the Internet. . The network N may include a wired network or a wireless network.

The communication unit 110 receives condition setting information from the terminal device 10 . Furthermore, the communication unit 110 transmits preview information to the terminal device 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 stores programs and data for implementing information processing executed by each unit of the control unit 130.

As shown in FIG. 4, the storage unit 120 includes a search history storage unit 121, a reference information storage unit 122, and the like.

(Search history storage unit 121)
The search history storage unit 121 stores search histories of service users in association with identification information (for example, user ID) for identifying service users who use various services on the Internet. The search history stored in the search history storage unit 121 includes, for example, information on search words input by the service user through a search engine site provided to the service user.

(Reference information storage unit 122)
The reference information storage unit 122 stores reference information that is referred to in processing by the identification unit 133. FIG. 5 is a diagram showing an overview of reference information according to the embodiment. As shown in FIG. 5, the reference information storage unit 122 stores information on the corresponding keyword for each word category. In the example shown in FIG. 5, keywords corresponding to the word category "home appliances" include "cooking home appliances,""stylish home appliances,""healthy home appliances," and the like.

Note that the storage unit 120 stores user attributes based on operations and browsing of service users in various services (for example, demographic attributes such as age, gender, region, etc., and usage history of online content of various services, etc.). Estimated psychographic attributes, etc.), the behavior history of the service user U in various services, etc. may be collected and stored in association with the user ID.

(Control unit 130)
The control unit 130 is a controller that controls the information processing device 100. The control unit 130 allows a CPU (Central Processing Unit), an MPU (Micro Processing Unit), etc. to execute various programs (for example, information processing programs) stored in a storage device inside the information processing device 100 using the RAM as a work area. This is achieved by Further, the control unit 130 may be realized by, for example, an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

As shown in FIG. 4, the control unit 130 includes a totaling unit 131, a determining unit 132, a specifying unit 133, and a providing unit 134. The control unit 130 uses these units to realize or execute information processing functions and operations described below. Note that the internal configuration of the control unit 130 is not limited to the configuration shown in FIG. 4, and may be any other configuration as long as it performs information processing to be described later. Further, the connection relationship between the respective units included in the control unit 130 is not limited to the connection relationship shown in FIG. 4, and may be other connection relationships.

(Tally unit 131)
When the aggregation unit 131 receives a plurality of condition settings transmitted from the terminal device 10 through the communication unit 110, the aggregation unit 131 aggregates sample data matching the condition settings for each received condition setting. For example, the aggregation unit 131 searches for data matching each condition setting from among the search histories stored in the search history storage unit 121, and aggregates the search results individually. The aggregation unit 131 delivers each aggregated sample data to the determination unit 132.

(Determination unit 132)
The determination unit 132 determines the state of each sample data totaled by the totalization unit 131. For example, the determination unit 132 determines whether the volume of each sample data (for example, the number of users meeting the condition settings) satisfies a predetermined standard. If the volume satisfies a predetermined standard (for example, if the number of users is greater than or equal to a threshold), the determination unit 132 determines that the volume of sample data that meets the corresponding condition setting is large and the accuracy of the data is high. It is determined that Further, when the volume does not meet a predetermined standard (for example, when the number of users is less than a threshold), the determination unit 132 determines that the volume of sample data that matches the corresponding condition setting is small and the accuracy of the data is low. It is determined that there is.

(Specific part 133)
The specifying unit 133 identifies condition elements that are not common in a plurality of condition settings among the condition elements constituting the condition settings corresponding to sample data whose volume does not meet a predetermined standard, and which is a condition element that is not common in a plurality of condition settings, A condition element that can improve the accuracy of comparison between sample data is identified by excluding it from the condition elements constituting the condition setting corresponding to .

For example, the specifying unit 133 determines that the volume of sample data that matches condition setting J2 does not satisfy a predetermined standard, and that among the condition elements configuring condition setting J2, between condition setting J1 and condition setting J2. Assume that the condition element that is not common is the setting content of the search keyword (for example, see FIG. 2 or 3). At this time, the specifying unit 133 selects the keywords set in the search keywords forming condition setting J1 and the search keywords forming condition setting J2 among the keywords set in the search keywords forming condition setting J2. By excluding one of the keywords that is different from the other keywords (for example, "home appliance manufacturer A") from the search keywords that make up condition setting J2, it is possible to improve the accuracy of comparison between sample data. Identify possible keywords.

In addition, the specifying unit 133 identifies condition elements that are not common in a plurality of condition settings among condition elements constituting a condition setting corresponding to a data group whose volume does not meet a predetermined standard, and which is a condition element that is not common in multiple condition settings, By changing the condition elements that make up the condition settings corresponding to sample data to other condition elements, it is possible to improve the comparison accuracy between sample data. Identify.

For example, the specifying unit 133 determines that the volume of sample data of condition setting J2 does not satisfy a predetermined standard, and that the condition elements constituting condition setting J2 are not common between condition setting J1 and condition setting J2. Assume that the condition element is the setting content of the search keyword (see FIG. 2 or 3). At this time, based on the reference information stored in the reference information storage unit 122, the information processing device 100 selects the search keywords that make up the condition setting J1 from among the keywords set as the search keywords that make up the condition setting J2. Any of the keywords that are different between the keywords set in ``Search Keywords'' and the keywords set in the search keywords constituting condition setting J2 (for example, ``Home Appliance Manufacturer A'') is replaced with another keyword (for example, ``Home Appliance Manufacturer A'') that has the same word category. For example, by changing the keyword to "home appliance manufacturer B"), it is possible to improve the comparison accuracy between sample data. B)).

(Providing unit 134)
The providing unit 134 provides the service user with preview information including the state of the sample data determined by the determining unit 132 by transmitting it to the terminal device 10 through the communication unit 110. Further, the providing unit 134 provides the service user with proposal information that proposes excluding the conditional element specified by the specifying unit 133 together with preview information. Further, the providing unit 134 provides the service user with proposal information that proposes changing the condition element specified by the specifying unit 133 to another condition element together with preview information.

[3. Processing procedure]
Hereinafter, a processing procedure by the information processing apparatus 100 according to the embodiment will be described using FIG. 6. FIG. 6 is a flowchart illustrating an example of a processing procedure by the information processing apparatus according to the embodiment. The processing procedure shown in FIG. 6 is executed by the control unit 130 of the information processing device 100. The processing procedure shown in FIG. 6 is repeatedly executed while the information processing device 100 is in operation.

As shown in FIG. 6, when the aggregation unit 131 receives a plurality of condition settings transmitted from the terminal device 10 through the communication unit 110 (step S101), the aggregation unit 131 collects sample data matching the condition settings for each received condition setting. are totaled (step S102).

Further, the determination unit 132 determines the state of each sample data totaled by the totalization unit 131 (step S103).

Further, the identifying unit 133 identifies conditional elements that can increase the accuracy of comparison between sample data (step S104). For example, the specifying unit 133 identifies a condition element that is not common in a plurality of condition settings among condition elements constituting a condition setting corresponding to sample data whose volume does not meet a predetermined standard, and which is not common in a plurality of condition settings. A condition element that can improve the accuracy of comparison between sample data is identified by excluding it from the condition elements constituting the condition setting corresponding to the sample data. Alternatively, the specifying unit 133 determines that the volume does not meet the predetermined standard, which is a condition element that is not common in a plurality of condition settings among the condition elements constituting the condition settings corresponding to the data group whose volume does not meet the predetermined standard. By changing the condition elements that make up the condition settings corresponding to sample data to other condition elements, it is possible to improve the comparison accuracy between sample data. Identify.

The providing unit 134 provides the service user with preview information including the state of the sample data determined by the determining unit 132 by transmitting it to the terminal device 10 through the communication unit 110 (step S105). Note that the providing unit 134 previews proposal information that proposes to exclude the condition element specified in step S104 or proposal information that proposes to change the condition element specified in step S104 to another condition element. It can be provided to service users along with information.

[4. Modified example]
In the above-described embodiment, an example was described in which the information processing apparatus 100 receives a plurality of condition settings and provides preview information indicating the state of sample data that matches the condition settings for each condition setting. However, the same processing can be performed even when only one condition setting is accepted. That is, the information processing apparatus 100 may provide preview information indicating the state of sample data that matches the condition settings. Furthermore, the information processing apparatus 100 may provide proposal information that proposes exclusion or modification of condition elements so that the volume of sample data satisfies a predetermined criterion.

Furthermore, in the above-described embodiment, when identifying condition elements that can improve the accuracy of comparison between sample data, the information processing apparatus 100 specifies condition elements that will not be excluded or changed from among the condition elements by the service user in advance. It may be accepted from U. In this case, the information processing apparatus 100 attempts to identify a condition element that can improve the accuracy of comparison between sample data from among condition elements other than condition elements that are not excluded or changed.

Furthermore, in the above-described embodiment, when a plurality of condition elements that can improve the accuracy of comparison between sample data are identified, the information processing device 100 provides the service user U with proposal information regarding the plurality of condition elements. may be provided. Alternatively, the information processing device 100 may provide the service user U with only the condition elements that can further improve the comparison accuracy among the plurality of condition elements.

[5. Hardware configuration]
The information processing apparatus 100 according to the embodiment is realized, for example, by a computer 1000 having a configuration as shown in FIG. FIG. 7 is a hardware configuration diagram showing an example of a computer that implements the functions of the information processing device according to the embodiment.

Computer 1000 has CPU 1100, RAM 1200, ROM 1300, HDD 1400, communication interface (I/F) 1500, input/output interface (I/F) 1600, and media interface (I/F) 1700.

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

HDD 1400 stores programs executed by CPU 1100, data used by such programs, and the like. Communication interface 1500 receives data from other devices via network (communication network) N and sends it to CPU 1100, and sends data generated by CPU 1100 to other devices via network (communication network) N.

The CPU 1100 controls output devices such as a display and a printer, and input devices such as a keyboard and a mouse via an input/output interface 1600. CPU 1100 obtains data from an input device via input/output interface 1600. Further, CPU 1100 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 this 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 disk), 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 device 100 according to the embodiment, the CPU 1100 of the computer 1000 realizes the functions of the control unit 130 by executing a program loaded onto the RAM 1200. Furthermore, data in the storage unit 120 is stored in the HDD 1400. 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 from another device via the network (communication network) N.

[6. others]
Among the processes described in the embodiments and modifications described above, all or part of the processes described as being performed automatically can be performed manually, or the processes described as being performed manually can be performed manually. All or part of the processing can also be performed automatically using known methods. In addition, information including the processing procedures, specific names, and various data and parameters shown in the above documents and drawings may be changed arbitrarily, unless otherwise specified.

In the above-described embodiments and modifications, in order to realize the information processing method by the information processing apparatus 100 (for example, see FIG. 5), each part of the control unit 130 included in the information processing apparatus 100 (aggregation unit 131, determination unit 132, The processing functions corresponding to the specifying unit 133 and the providing unit 134) may be realized as an add-on to the providing program installed in advance in the information processing device 100, or may be implemented as a dedicated providing program using a lightweight programming language or the like. It may also be realized by flexibly describing it as a program.

Furthermore, in the embodiments and modified examples described above, the information processing device 100 is a device that provides various services to service users, and visualizes the degree of interest in each region along the time axis for the service users. The information providing service may be physically distributed and configured to include devices that provide information providing services.

Furthermore, each component of each device shown in the drawings is functionally conceptual, and does not necessarily need to be physically configured as shown in the drawings. In other words, the specific form of distributing and integrating each device is not limited to what is shown in the diagram, and all or part of the devices can be functionally or physically distributed or integrated in arbitrary units depending on various loads and usage conditions. Can be integrated and configured. For example, the aggregation unit 131 and the determination unit 132 of the control unit 130 may be functionally integrated.

Further, the above-described embodiments and modified examples can be combined as appropriate within the range that does not conflict with the processing contents.

[7. effect]
The information processing device 100 according to the embodiment described above includes a totaling section 131, a determining section 132, and a providing section 134. The aggregation unit 131 aggregates sample data matching the condition settings for each of the plurality of condition settings. The determination unit 132 determines the state of each sample data totaled by the totalization unit 131. The providing unit 134 provides the service user U with preview information including the state of the sample data determined by the determining unit 132.

In this way, the information processing apparatus 100 according to the embodiment can easily check whether the condition settings for the data to be compared with each other are appropriate before performing a comparison between sample data. As a result of being able to check in advance whether the condition settings are appropriate, it is expected that the processing costs of the system will be reduced and the usability will be improved.

Further, the information processing device 100 according to the embodiment further includes a specifying unit 133. The specifying unit 133 identifies condition elements that are not common in a plurality of condition settings among the condition elements constituting the condition settings corresponding to sample data whose volume does not meet a predetermined standard, and which is a condition element that is not common in a plurality of condition settings, A condition element that can improve the accuracy of comparison between sample data is identified by excluding it from the condition elements constituting the condition setting corresponding to . The providing unit 134 provides the service user U with proposal information that proposes excluding the condition element specified by the specifying unit 133, together with preview information. Thereby, the information processing device 100 can provide the service user U with an opportunity to review the condition settings in advance before performing the comparison between sample data.

Further, the information processing device 100 according to the embodiment further includes a specifying unit 133. The specifying unit 133 identifies a condition element that is not common in a plurality of condition settings among condition elements constituting a condition setting corresponding to sample data whose volume does not meet a predetermined standard, and which identifies a data group whose volume does not meet a predetermined standard. By changing the condition elements that constitute the condition settings corresponding to the condition settings to other condition elements, identify the condition elements before the change and other condition elements after the change that can improve the comparison accuracy between sample data. . Thereby, the information processing device 100 can provide the service user U with an opportunity to review the condition settings in advance, without reducing the number of condition elements, before performing a comparison between sample data.

As mentioned above, the embodiments of the present application have been described in detail based on several drawings, but these are merely examples, and various modifications and variations can be made based on the knowledge of those skilled in the art, including the embodiments described in the disclosure section of the invention. It is possible to carry out the invention in other forms with modifications.

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

10 terminal device 100 information processing device 110 communication unit 120 storage unit 121 search history storage unit 122 reference information storage unit 130 control unit 131 aggregation unit 132 determination unit 133 identification unit 134 provision unit

Claims (5)

an aggregation unit that aggregates data groups matching the condition settings for each of the plurality of condition settings;
a determination unit that determines whether the volume of each data group aggregated by the aggregation unit satisfies a predetermined criterion ;
The user is provided with preview information including information indicating whether the volume of each data group determined by the determination unit is in a state where the precision of data that satisfies a predetermined standard is high, or in a state where the precision of data that does not meet a predetermined standard is low. An information processing device comprising: a providing unit that provides information. A condition element that is not common in the plurality of condition settings among condition elements constituting a condition setting corresponding to a data group whose volume does not meet a predetermined standard, and which corresponds to a data group whose volume does not meet a predetermined standard. further comprising a specifying unit that specifies a condition element that can improve the accuracy of comparison between data groups by excluding it from the condition elements that make up the settings;
The provision department is
The information processing apparatus according to claim 1, further comprising: providing the user with suggestion information suggesting excluding the conditional element specified by the specifying unit, together with the preview information. A condition element that is not common in the plurality of condition settings among condition elements constituting a condition setting corresponding to a data group whose volume does not meet a predetermined standard, and which corresponds to a data group whose volume does not meet a predetermined standard. Further, a specifying part that identifies the condition element before the change and the other condition element after the change, which can improve the accuracy of comparison between data groups by changing the condition element configuring the settings to another condition element. Prepare,
The provision department is
The information processing apparatus according to claim 1, wherein suggestion information suggesting changing the condition element specified by the specifying unit to another condition element is provided to the user together with the preview information. An information processing method performed by a computer, the method comprising:
an aggregation step of aggregating data groups that match the condition settings for each of the plurality of condition settings;
a determination step of determining whether the volume of each data group aggregated in the aggregation step satisfies a predetermined standard ;
The user is provided with preview information including information indicating whether the volume of each data group determined in the determination step is in a state where the precision of data that satisfies a predetermined standard is high, or in a state where the precision of data that does not meet a predetermined standard is low. An information processing method characterized by comprising a providing step of providing. to the computer,
an aggregation procedure for aggregating data groups matching the condition settings for each of the plurality of condition settings;
a determination step of determining whether the volume of each data group aggregated by the aggregation procedure satisfies a predetermined criterion ;
The user is provided with preview information including information indicating whether the volume of each data group determined by the determination procedure is in a state where the precision of data that satisfies a predetermined standard is high, or in a state where the precision of data that does not meet a predetermined standard is low. An information processing program characterized by causing a provision procedure to be provided and to be executed.

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