JP7565429B2 - Information processing device, information processing method, program, and storage medium - Google Patents

Description

The present invention relates to an information processing device, an information processing method, a program, and a storage medium capable of executing web applications.

Patent Document 1 describes a device that collects information on the actions of multiple users as setting information, matches users based on the collected setting information, and performs intermediary processing to exchange or provide information such as messages between matched users. Patent Document 2 describes inputting user characteristics by having users read tags at exhibition venues, etc.

JP 2013-3988 A Patent No. 5422002

When a user is newly registered in a web application such as a SNS app, there is no usage history of the user, so the user characteristics cannot be estimated appropriately. In addition, in order to grasp the user's characteristics in detail, it is possible to increase the number of profile information input items, but if there are many items, it is expected that the user will have to enter them manually one by one, which will be a hassle. Thus, when using user characteristics in an application, while it is desirable to set the user characteristics appropriately, it is also necessary to improve user convenience.

The present invention aims to provide an information processing device, information processing method, program, and storage medium that appropriately estimate the characteristics of a newly registered user and improve user convenience.

The information processing device according to the present invention is an information processing device capable of executing a Web application, and includes: a receiving means for receiving, when a user newly registers to the Web application, access information of another Web application used by the newly registered user and an instruction to execute a matching function; an acquisition means for acquiring usage information of the other Web application of the newly registered user from the other Web application accessed using the access information received by the acceptance means; an extraction means for extracting features from the usage information of the other Web application acquired by the acquisition means; a generation means for generating profile information of the newly registered user based on the features extracted by the extraction means; and an execution means for executing the matching function using the profile information generated by the generation means, The information includes at least one of image data and text data posted to the other Web application, and if the usage information is image data, the extraction means extracts image trends as the feature by image analysis of the image data, and if the usage information is text data, extracts keyword trends as the feature by keyword extraction from the text data, and the generation means generates, as the profile information, a profile statement using at least one of the image trends and keyword trends extracted by the extraction means as an estimated preference, and the matching function is a function of matching the newly registered user with a user or user group having characteristics similar to the characteristics of the newly registered user based on the profile information generated by the generation means .

An information processing method according to the present invention is an information processing method executed in an information processing device capable of executing a Web application, and includes a receiving step of receiving access information to other Web applications used by the newly registered user and an instruction to execute a matching function when a user is newly registered to the Web application; an acquisition step of acquiring usage information of the other Web applications of the newly registered user from the other Web applications accessed using the access information received in the reception step; an extraction step of extracting features from the usage information of the other Web applications acquired in the acquisition step; a generation step of generating profile information of the newly registered user based on the features extracted in the extraction step; and an execution step of executing the matching function using the profile information generated in the generation step. The usage information includes at least one of image data and text data posted to the other Web application, and in the extraction process, if the usage information is image data, an image trend is extracted as the feature by image analysis of the image data, and if the usage information is text data, a keyword trend is extracted as the feature by keyword extraction from the text data, and in the generation process, a profile statement is generated as the profile information using at least one of the image trend and the keyword trend extracted in the extraction process as an estimated preference, and the matching function is a function that matches the newly registered user with a user or user group having characteristics similar to the characteristics of the newly registered user based on the profile information generated in the generation process .

The program according to the present invention is a program for operating a computer to receive, when a user is newly registered to a Web application, access information for other Web applications used by the newly registered user and an instruction to execute a matching function, obtain usage information of the other Web applications of the newly registered user from the other Web applications accessed using the received access information, extract features from the obtained usage information of the other Web applications, generate profile information for the newly registered user based on the extracted features, and execute the matching function using the generated profile information , and the usage information is input to the other Web applications. The usage information includes at least one of image data and text data, and if the usage information is image data, an image trend is extracted as the feature by image analysis of the image data, and if the usage information is text data, a keyword trend is extracted as the feature by keyword extraction of the text data, and a profile statement is generated as the profile information using at least one of the extracted image trend and keyword trend as an estimated preference, and the matching function is a function of matching the newly registered user with a user or user group having characteristics similar to the characteristics of the newly registered user based on the generated profile information .

The storage medium according to the present invention is a computer-readable storage medium that stores a program for operating a computer to: receive access information to other Web applications used by the newly registered user and an instruction to execute a matching function when a user newly registers to a Web application; obtain usage information of the other Web applications of the newly registered user from the other Web applications accessed using the received access information; extract features from the obtained usage information of the other Web applications; generate profile information of the newly registered user based on the extracted features; and execute the matching function using the generated profile information. The usage information includes information about the other Web applications. The usage information includes at least one of image data and text data posted to an application, and if the usage information is image data, an image trend is extracted as the feature by image analysis of the image data, and if the usage information is text data, a keyword trend is extracted as the feature by keyword extraction of the text data, and a profile statement is generated as the profile information using at least one of the extracted image trend and keyword trend as an estimated preference, and the matching function is a function that matches the newly registered user with a user or user group having characteristics similar to the characteristics of the newly registered user based on the generated profile information .

According to the present invention, it is possible to appropriately estimate the characteristics of newly registered users and improve user convenience.

Other features and advantages of the present invention will become apparent from the following description taken in conjunction with the accompanying drawings, in which the same or similar components are designated by the same reference numerals.

The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments of the invention and, together with the description, serve to explain the principles of the invention.
FIG. 1 is a diagram illustrating a configuration of a Web application system. FIG. 1 is a block diagram showing a configuration of an information processing device. FIG. 13 is a block diagram showing a configuration of another information processing device. FIG. 2 is a block diagram showing a configuration of a terminal device. FIG. 2 is a diagram showing a process flow between devices in a Web application system. 4 is a flowchart showing a process executed by the information processing device. 13 is a flowchart showing an analysis process. 13 is a flowchart showing a matching process. 13 is a flowchart showing a matching process. FIG. 13 is a diagram showing a setting screen for creating a profile. FIG. 13 is a diagram showing a setting screen for matching items. FIG. 13 is a diagram showing a screen displaying a matching result.

The embodiments are described in detail below with reference to the attached drawings. Note that the following embodiments do not limit the invention according to the claims, and not all combinations of features described in the embodiments are necessarily essential to the invention. Two or more of the features described in the embodiments may be combined in any desired manner. In addition, the same reference numbers are used for identical or similar configurations, and duplicate descriptions are omitted.

Figure 1 is a diagram showing an example of the configuration of a web application system in this embodiment. As shown in Figure 1, the web application system includes an information processing device 101 that provides, for example, an SNS application. Hereinafter, the web application provided by the information processing device 101 may be referred to as an "ABC application" to distinguish it from applications provided by other devices. In Figure 1, the terminal device 104 corresponds to user A, and the terminal device 105 corresponds to user B. In this embodiment, user A is a new user who newly registers in the ABC application. The terminal devices 104 and 105 are, for example, information processing devices such as PCs or mobile terminals such as smartphones. The information processing devices 102 and 103 are web application servers that provide web applications different from the ABC application provided by the information processing device 101.

The information processing devices 101, 102, 103, and the terminal devices 104, 105 can communicate with each other via the network 106. The network 106 is a communication network including a wired communication network, a wireless communication network, and both as a medium, and includes, for example, the Internet. User A can access the information processing device 101 by the terminal device 104 to use the ABC application, and can access the information processing devices 102, 103 to use each Web application. User B can access the information processing device 101 by the terminal device 105 to use the ABC application, and can access the information processing devices 102, 103 to use each Web application. Examples of Web applications provided by the information processing devices 102, 103 include a posting application and a video search site. In addition, using a Web application includes, for example, posting posted information including image data such as text data, photos, and videos, viewing posted information by other posters and expressing sympathy by "like" or "following", and searching/watching videos on a video search site.

For example, when a user newly registers with an SNS app, it is common for the user to create his/her own profile information. This profile information includes a wide range of items such as name, title, position, base of operations, hobbies, etc., and it is recommended that the profile information be created in a way that expresses the poster's own characteristics well. However, for users with little experience using SNS apps, while there is a high degree of freedom in the creation of the profile information, it is difficult to know how to create the profile information and it is also difficult to express one's own characteristics. Also, in order to grasp the characteristics of the user in detail, it is possible to increase the number of input items for the profile information. However, if there are many input items, it is expected that the user will have a hard time manually entering each item, which will be cumbersome.

According to this embodiment, when a user newly registers with the ABC app, the system analyzes information posted to other web applications already used by the user, video search history, and the like, and automatically generates profile information to express the characteristics of the user. With such a configuration, even users with little experience using SNS apps do not have to create profile information themselves, improving convenience.

In addition, matching (comparing characteristics) with users or user groups that have characteristics similar to those of the user is known as a function of SNS apps, but in cases where past usage history has not been accumulated, such as for newly registered users, the user's characteristics cannot be properly estimated. As a result, matching cannot be performed appropriately.

According to this embodiment, the generated profile information is used to perform matching with multiple types of user groups already generated within the ABC app, and the matching results are presented to the user. With such a configuration, even for a newly registered user, the characteristics of the newly registered user can be appropriately estimated and matching can be performed. Furthermore, the user can recognize users or user groups that are appropriately matched to his or her characteristics, even if no past usage history has been accumulated yet. In this embodiment, a "community" is given as an example of a user group, and hereinafter, the term "community" will be used for explanation.

2 is a block diagram showing an example of the configuration of the information processing device 101. The processor 201 is a processor that controls the information processing device 101 in an overall manner, and is configured to include, for example, a CPU. The memory 202 is, for example, a volatile memory such as a RAM, and is used as a work memory for the processor 201. The storage unit 203 is, for example, a non-volatile memory such as a ROM or a hard disk, and stores the basic control program of the information processing device 101, various application programs, setting data, parameters, etc. The various programs stored in the storage unit 203 are managed by the basic control program, and task scheduling, etc. are performed. The operation of the information processing device 101 in this embodiment is realized, for example, by reading the program stored in the storage unit 203 into the memory 202 and executing it. That is, the operation of the information processing device 101 in this embodiment is realized by the processor 201 and a program stored in a computer-readable storage medium. Therefore, the processor 201 or the information processing device 101 can be a computer for realizing the operation of the invention.

The communication interface (I/F) 204 has a configuration corresponding to the medium of the network 106, and is composed of, for example, a NIC (Network Interface Card) or an NFC chip for short-distance wireless communication. The display control unit 205 controls the display of a display unit such as a panel or display (not shown). The display control unit 205 also generates display data such as various user interface screens to be displayed on the display unit of another device. For example, the display control unit 205 generates display data to be displayed on the display unit of the terminal devices 104 and 105, and transmits the generated display data to the terminal devices 104 and 105 via the communication I/F 204 by HTTP. The operation reception unit 206 receives user operations via a keyboard, mouse, etc. (not shown).

The server function unit 212 is a block that enables the information processing device 101 to function as a web application server. The server function unit 212 has a basic function execution unit 207 that realizes basic functions as, for example, an SNS server. The basic function execution unit 207 realizes, for example, a new user registration function for an SNS application, management functions such as changing settings, a community creation function as an electronic bulletin board, and messaging functions such as chat. The basic function execution unit 207 also realizes a function for users to create their own profile information.

The usage information acquisition unit 208 acquires usage information of web applications provided by other information processing devices 102 and 103 for a new user registered with the ABC app. The usage information of other web applications is, for example, posted information already posted by the new user registered with the ABC app on other SNS apps, search and viewing history information on other video search sites by the new user, and information expressing the new user's sympathy or other intentions toward other contributors on other SNS apps. The usage information also includes profile text already posted by the new user on other SNS apps. The profile information generated by this embodiment is generated based on the results of the analysis described below, and therefore does not simply reuse profile text already posted on other SNS apps, but reflects the preferences of the new user.

The analysis unit 209 performs data analysis such as clustering, classification, and regression using the learned model and the usage information acquired by the usage information acquisition unit 208. For example, the analysis unit 209 performs data mining on text data included in the acquired posted information, and analyzes the tendency and occurrence rate of data that appears. For example, the analysis unit 209 performs pattern recognition and behavior recognition on image data such as photos and videos included in the acquired posted information, and identifies people, recognizes animals, and recognizes scenes such as landscapes. For example, the analysis unit 209 performs personality estimation based on the analysis results of the text data and image data and a personality model such as an egogram.

The profile information generation unit 210 generates profile information for a new user who registers with the ABC app using the analysis results of the analysis unit 209. The profile information generation unit 210 generates profile information based on basic information obtained from the management information of the new user and a profile statement created based on the analysis results of the analysis unit 209.

The matching execution unit 211 uses the profile information generated by the profile information generation unit 210 to compare the characteristics of an already created community or user. Since a community is a collection of users, characteristics derived as statistics of the characteristics of individual users (e.g., adopting the most common characteristic) are treated as characteristics of the community and compared with the characteristics of the newly registered user. The matching execution unit 211 identifies a community or user that is determined to have a high similarity to the characteristics of the newly registered user. In this embodiment, the identified community or user is displayed on the terminal device 104 of the newly registered user as a result of the matching being performed.

The database 220 stores, for example, information about users registered in the ABC app as user information 221. FIG. 2 shows how user information 222 corresponding to user A and user information 223 corresponding to user B are stored in the user information 221. Here, user information 222 and user information 223 are described as having the same configuration, although their contents are different. When a new user is registered in the server function unit 212, information about the newly registered user is stored as new user information. The user information includes management information 230, profile information 240, user-created profile information 231, posted information 232, and analysis results 233.

The management information 230 is information necessary for the server function unit 212 to manage users, and includes, for example, information on required input items such as name and email address, and authentication information. The profile information 240 includes basic information 241 and a profile statement 242. The basic information 241 is basic information of the profile such as name and gender. The profile statement 242 is information generated by the profile information generation unit 210. The user-created profile information 231 is profile information created by the user himself/herself without using the profile automatic generation function of the profile information generation unit 210. The posting information 232 is information indicating the posting contents posted by the user to the ABC app, and includes text data and image data such as photos and videos. There may be no posting information 232 immediately after new registration. The analysis result 233 is the analysis result analyzed by the analysis unit 209.

The configuration of the information processing device 101 is not limited to the configuration shown in FIG. 2, and may include appropriate functional blocks according to functions that the information processing device 101 can realize or functions that the information processing device 101 can realize as a Web application server. The server function unit 212 may have a processor such as a CPU or a CPU, and operate under the control of the processor 201. The database 220 may store not only user information, but also a trained model used by the analysis unit 209 in the analysis.

Figure 3 is a block diagram showing an example of the configuration of information processing devices 102 and 103. It is assumed that information processing device 102 and information processing device 103 have the same configuration, and hereinafter, unless otherwise specified, information processing device 102 will be described as a representative example of information processing devices 102 and 103.

The processor 301 is a processor that controls the information processing device 102 overall, and is configured to include, for example, a CPU. The memory 302 is, for example, a volatile memory such as a RAM, and is used as a work memory for the processor 301. The storage unit 303 is, for example, a non-volatile memory such as a ROM or a hard disk, and stores the basic control program of the information processing device 102, various application programs, setting data, parameters, etc. The various programs stored in the storage unit 303 are managed by the basic control program, and perform task scheduling, etc. The operation of the information processing device 102 in this embodiment is realized, for example, by reading the program stored in the storage unit 303 into the memory 302 and executing it.

The communication interface (I/F) 304 has a configuration corresponding to the medium of the network 106, and is composed of, for example, a NIC (Network Interface Card) or an NFC chip for short-distance wireless communication. The display control unit 305 controls the display of a display unit such as a panel or display (not shown). The display control unit 305 also generates display data such as various user interface screens to be displayed on the display unit of another device. For example, the display control unit 305 generates display data to be displayed on the display unit of the terminal devices 104 and 105, and transmits the generated display data to the terminal devices 104 and 105 via the communication I/F 304 by HTTP. The operation reception unit 306 receives user operations via a keyboard, mouse, etc. (not shown).

The server function unit 307 is a block that enables the information processing device 102 to function as a web application server. The server function unit 307 realizes, for example, the basic functions of an SNS server. The server function unit 307 realizes, for example, a new user registration function for an SNS application, a management function such as changing settings, a community creation function as an electronic bulletin board, and a messaging function such as chat.

The database 310 stores, for example, information about users registered in an SNS app as user information 311. FIG. 3 shows how user information 312 corresponding to user A and user information 316 corresponding to user B are stored in the user information 311. Here, user information 312 and user information 316 are described as having the same configuration, although their contents are different. When a new user is registered in the server function unit 307, information about the newly registered user is stored as new user information. The user information includes management information 313, profile information 314, and posting information 315.

Management information 313 is information necessary for the server function unit 307 to manage users, and includes, for example, information on required input items such as name and email address, authentication information, etc. Profile information 314 is profile information created by the user himself/herself. Post information 315 is, for example, information indicating the content posted by the user to the SNS app, and includes text data and image data such as photos and videos.

The configuration of the information processing device 102 is not limited to the configuration shown in FIG. 3, and may appropriately include functional blocks corresponding to the functions that the information processing device 102 can realize, or the functions that it can realize as a Web application server.

Figure 4 is a block diagram showing an example of the configuration of terminal devices 104 and 105. Terminal device 104 and terminal device 105 have the same configuration, and terminal device 104 will be described below as a representative example of terminal devices 104 and 105. In this embodiment, terminal device 104 will be described as a smartphone, but it may also be a desktop or notebook PC, etc.

The processor 401 is a processor that controls the terminal device 104 overall, and is configured to include, for example, a CPU. The memory 402 is a volatile memory, for example, a RAM, and is used as a work memory for the processor 401. The storage unit 403 is a non-volatile memory, for example, a ROM, and stores the basic control program of the terminal device 104, various application programs, setting data, parameters, etc. The various programs stored in the storage unit 403 are managed by the basic control program, and perform task scheduling, etc. The operation of the terminal device 104 in this embodiment is realized, for example, by reading the program stored in the storage unit 403 into the memory 402 and executing it.

The display control unit 404 controls the display of a display unit such as a panel (not shown). For example, the display control unit 404 displays various interface screens based on display data received from the information processing devices 101, 102, and 103. For example, the display control unit 404 displays a web application screen based on display data received by HTTP from the information processing devices 101, 102, and 103 via the communication I/F 406. The operation acceptance unit 405 accepts user operations via buttons, etc. The operation acceptance unit 405 may be configured as a touch panel.

The communication interface (I/F) 406 is configured to be capable of communicating with the network 106, and may be configured as a wireless communication interface capable of performing communication at a plurality of different communication speeds, such as Wi-Fi or Bluetooth (registered trademark). The imaging unit 407 is a camera capable of capturing still images and moving images. For example, a user can post still image data and moving image data captured by the imaging unit 407 to the server function unit 212 of the information processing device 101 and the server function units 307 of the information processing devices 102 and 103.

The configuration of the terminal device 104 is not limited to the configuration shown in FIG. 4, and may include appropriate functional blocks according to the functions that the terminal device 104 can realize.

Figure 5 is a diagram showing the flow of processing between devices in the Web application system of Figure 1. Figure 5 shows a case in which user A accesses the server function unit 212 (e.g., the URL of the ABC application) of the information processing device 101 using the terminal device 104 and performs new registration. The processing of the terminal device 104 in Figure 5 is realized, for example, by the processor 401, the processing of the information processing device 101 is realized, for example, by the processor 201, and the processing of the information processing device 102 is realized, for example, by the processor 301.

In S101, the terminal device 104 accesses the server function unit 212 of the information processing device 101. The processing of S101 is performed, for example, by selecting a new registration menu on the top screen of the ABC app displayed on the terminal device 104. In S102, the server function unit 212 of the information processing device 101 transmits display data of a new registration screen to the terminal device 104 that is the access source.

In S103, the terminal device 104 accepts input of information required for management, such as a name and an email address, from the user on a new registration screen displayed on a panel or the like, and transmits the information as registration information to the server function unit 212 of the information processing device 101. Here, the information required for management is information used by the basic function execution unit 207, such as an address, a notification destination for messages, and other information that is a required input item on the new registration screen.

In S104, the server function unit 212 of the information processing device 101 associates the registration information transmitted from the terminal device 104 with the newly registered user and stores it as management information 230 in the database 220. The management information 230 includes, for example, information on the required input items described above, as well as various setting information. In this embodiment, the newly registered user can set on the new registration screen whether the user creates profile information or whether the profile information is automatically generated, and such information is also included in the setting information. In addition, the newly registered user can set on the new registration screen whether or not to link other Web applications with the ABC application, and such information is also included in the setting information. When it is set that other Web applications are linked with the ABC application, the newly registered user also receives input of login information for the other Web applications to be linked.

10 is a diagram showing an example of a setting screen for creating profile information on a new registration screen. The setting screen 1000 is a part of the new registration screen of the ABC application or a screen displayed by transitioning from the new registration screen. For example, the setting screen 1000 is displayed by selecting a menu for creating profile information from the new registration screen. The setting screen 1000 displays a message 1001 saying, "Do you want to set your profile based on the usage of other SNSs and other apps?" Here, the other SNSs and other apps indicate an example of a web application provided by the server function unit 307 of the information processing devices 102 and 103. When the new registration user selects (checks) "YES" for the message 1001 and presses the execute button 1005, a function is executed to automatically create the user's own profile information based on the usage information of other SNSs and other apps already used by the new registration user. On the other hand, when "NO" is selected for the message 1001, the new registration user creates his/her own profile information by himself/herself. When "NO" is selected and the execute button 1005 is pressed, a profile information creation screen (not shown) is displayed, and the user can create his/her own profile information. The profile information created by the user is stored in the database 220 as the user created profile information 231 in FIG. 2.

If "YES" is selected for message 1001, message 1002 is displayed. Message 1002 asks, "Do you want to specify a period?" Here, the period is a period that is determined when the user searches for usage information of other Web applications, such as the past month. When "Specify" is selected, a period is selected in period menu 1003, and execute button 1005 is pressed, usage information of other Web applications that falls within the period specified in period menu 1003 is searched for. For example, if "past month" is specified in period menu 1003, posted information posted by newly registered users to other Web applications within the past month is searched for.

Although not shown in FIG. 10, when "YES" is selected for message 1001, setting items for accessing other Web applications already in use by the newly registered user are displayed. In the setting items, the newly registered user inputs login information and the like for other Web applications already in use.

In this embodiment, the profile information of the newly registered user can be automatically generated based on the usage information of other Web applications used by the newly registered user. As described above, the usage information of other Web applications is, for example, information posted to other SNS applications and search/viewing history on a video search site. Since the posted information and search/viewing history have the property of strongly reflecting the user's own hobbies and preferences, the profile information generated based on such information will well represent the user's own characteristics. However, since hobbies, preferences, etc. tend to change over time, it may be desirable to generate the profile information based on more recent information. In this embodiment, the period can be specified by the period menu 1003, so that the profile information can more appropriately represent the user's own characteristics. In addition, by specifying the period, the processing load required for obtaining and analyzing the usage information of other Web applications can be reduced.

In message 1004, a message is displayed that allows the user to set whether or not to perform matching to search for communities that are already created in the ABC app and that are recommended for the newly registered user based on the generated profile information. If "YES" is selected for message 1004, communities that are highly similar to the characteristics of the generated profile information are searched for. Here, the generated profile information includes automatically generated profile information and profile information created by the newly registered user himself/herself. If "YES" is selected for message 1001 and "YES" is selected for message 1004 and the execute button 1005 is pressed, profile information is automatically generated and matching is performed based on the generated profile information. If "NO" is selected for message 1001 and "YES" is selected for message 1004 and the execute button 1005 is pressed, matching is performed based on the profile information created by the user. If "NO" is selected for message 1004 and the execute button 1005 is pressed, matching is not performed. Note that although "community" is shown as the matching destination in message 1004, the matching destination may be a user. In this case, a search is made for users who have a high similarity to the characteristics of the generated profile information. In this embodiment, a description will be given assuming that matching with a community is performed.

Refer to FIG. 5 again. After the registration information is stored as the management information 230 in S104, if automatic generation of profile information is selected on the setting screen 1000, the server function unit 212 of the information processing device 101 requests the server function unit 307 of the information processing device 102 to provide usage information for the newly registered user on the web application provided by the server function unit 307. Here, the usage information is, for example, posted information posted by the newly registered user to the web application provided by the server function unit 307, and search history searched on a video search site. In S105, the server function unit 212 of the information processing device 101 transmits the login information of the newly registered user to the web application provided by the server function unit 307 together with the request for usage information.

In S106, the server function unit 307 of the information processing device 102 performs authentication for the request for usage information received in S105. In S106, for example, the server function unit 307 of the information processing device 102 may display an authentication screen on the mobile terminal of the newly registered user to ask whether or not to allow the usage information to be provided to the outside. If the provision of the usage information to the outside is not permitted, a message to that effect is transmitted to the server function 212 of the information processing device 101, and the processing of FIG. 5 is terminated. In that case, automatic generation of profile information is not performed. On the other hand, if the provision of the usage information to the outside is permitted, in S107, the server function unit 307 of the information processing device 102 transmits the usage information of the web application for the newly registered user to the server function unit 212 of the information processing device 101.

In S108, the server function unit 212 of the information processing device 101 analyzes the usage information received in S107. The analysis will be described later. In S109, the server function unit 212 of the information processing device 101 generates profile information for the newly registered user based on the analysis result in S108. The generation of the profile information will be described later. In S110, the server function unit 212 of the information processing device 101 performs matching by comparing the characteristics of the profile information generated in S109 with the characteristics of the community. The matching will be described later. In S111, the server function unit 212 of the information processing device 101 transmits display data for displaying the matching result to the terminal device 104. In S112, the processor 401 of the terminal device 104 displays the matching result (e.g., a recommended community) on a display unit such as a panel based on the display data received in S111.

Figure 5 shows the process flow when automatic generation of profile information is selected on the setting screen 1000 and matching is selected to be performed. If automatic generation of profile information is selected and matching is not selected to be performed, the processes of S110 to S112 are not executed. Furthermore, if automatic generation of profile information is not selected, the processes of S105 to S109 are not executed.

In this embodiment, when automatic generation of profile information is selected and matching is selected, the newly registered user inputs the basic information required for new registration, and profile information is automatically generated, and matching is then performed based on the profile information. With such a configuration, even if the newly registered user does not have a usage history in the ABC app, profile information that appropriately represents the characteristics of the newly registered user can be generated. Furthermore, communities and users that are highly similar to the characteristics of the newly registered user are identified by matching, without the newly registered user creating a profile statement or setting items required to perform matching. Therefore, the convenience of the user in matching can be improved.

Figure 6 is a flowchart showing the processing executed by the information processing device 101 in the processing between devices described in Figure 5. The processing shown in Figure 6 is realized, for example, by the processor 201 reading a program stored in the storage unit 203 into the memory 202 and executing it. The processing in Figure 6 is started after display data for a new registration screen is transmitted to the terminal device 104 in S102 of Figure 5.

In S201, the processor 201 receives registration information from the terminal device 104 corresponding to the newly registered user. This corresponds to the transmission of registration information in S103 of FIG. 5. In S202, the processor 201 refers to the received registration information and determines whether or not automatic generation of profile information has been instructed. For example, the determination in S202 is made based on whether "YES" has been selected for message 1001 on the setting screen 1000 of FIG. 10. If it is determined in S202 that the generation of profile information has not been instructed, the process proceeds to S207. In S207, the processor 201 accepts the creation of profile information by the newly registered user and proceeds to S208. On the other hand, if it is determined in S202 that the generation of profile information has been instructed, the process proceeds to S203.

In S203, the processor 201 obtains access information for other Web applications already used by the newly registered user from the registration information received in S201. The access information is, for example, login information for the newly registered user to log in to other Web applications. The processor 201 accesses a server that provides a Web application corresponding to the access information and requests usage information for the Web application for the newly registered user. In S203, the access information for the newly registered user, identification information for the server function unit 212 of the information processing device 101, and period information are transmitted together with the request for usage information. The period information is, for example, the period information specified in the period menu 1003 when "Specify" is selected for the message 1002 on the setting screen 1000 of FIG. 10. Also, when "Do not specify" is selected for the message 1002, usage information for all Web applications for the newly registered user may be requested, or period information set as a default may be transmitted.

Here, it is assumed that the newly registered user is using the XYZ application provided by the server function unit 307 of the information processing device 102, and is already using a video search site provided by the server function unit 307 of the information processing device 103. For example, the newly registered user uploads his/her own photos, etc. to the XYZ application and posts a diary, etc. In S203, the processor 201 requests the server function unit 307 of the information processing device 102 and the server function unit 307 of the information processing device 103, respectively, for usage information of each web application for the newly registered user.

In S204, the processor 201 receives usage information of each web application for the newly registered user from each of the server function units 307 of the information processing device 102 and the server function units 307 of the information processing device 103. The web application usage information is, for example, text data, image data such as photos, etc., included in the posted information of the newly registered user, video search history data, and data expressing sympathy, etc. In addition, these metadata may also be received as the web application usage information. In S205, the processor 201 analyzes the web application usage information received in S204.

Figure 7 is a flowchart showing an example of the analysis process of S205. In S301, the processor 201 determines the type of web application usage information received in S204. If the web application usage information is text data, the process proceeds to S302.

In S302, the processor 201 performs keyword extraction on the text data received in S204. Keyword extraction may be performed, for example, by breaking down the text data into words using morphological analysis and extracting keywords that fall within a predetermined range of frequency of occurrence. Then, in S303, the processor 201 performs clustering on the keywords extracted in S302. Clustering is performed, for example, based on the distance between vectorized keywords.

In S304, the processor 201 extracts features based on the keywords included in each clustered group, and estimates the preferences of the newly registered user. For example, it estimates whether the extracted feature of "blue" is one that the newly registered user likes. The estimation may be performed by inputting a dataset of keywords into a trained model such as a neural network. By the processing of S304, it is possible to estimate preference information such as a favorite color that is latent in the text data posted by the newly registered user to the XYZ app. In S305, the processor 201 stores the analysis result of S304 in association with the newly registered user. For example, the analysis result is stored as the analysis result 233 in the database 220.

After S305, in S309, the processor 201 determines whether the analysis of FIG. 7 has been performed on all of the Web application usage information received in S204. If it is determined that the analysis of FIG. 7 has been performed on all of the Web application usage information received in S204, the processing of FIG. 7 is terminated. On the other hand, if the analysis of FIG. 7 has not yet been performed on any of the Web application usage information received in S204, the processing from S301 is repeated. Note that the processing of S302 to S304 is also performed on metadata (e.g., title, tag information, summary section, and detailed information) of video and still image data, and search history data.

If the result of the determination in S301 is that the usage information of the web application is image data, the process proceeds to S306. Here, image data includes still image data and video image data. In S306, the processor 201 performs image analysis on the image data received in S204. For example, the processor 201 uses the trained model to perform image recognition on the still image data and video image data received in S204. For example, the subject and the shooting scene are recognized by the processing of S306.

In S307, the processor 201 estimates the preferences of the newly registered user based on the analysis results of S306. For example, from the tendency of photographs of the user and their bike being taken together, it is estimated what type of bike the user prefers, what kind of places the user prefers for touring, whether the user prefers touring alone or with multiple people, etc. In S308, the processor 201 stores the analysis results of S307 in association with the newly registered user. For example, the analysis results are stored as analysis results 233 in the database 220. After S308, the process proceeds to S309.

If the result of the determination in S301 is that the usage information of the web application is intention expression data, the process proceeds to S310. Here, intention expression data is, for example, data indicating that a newly registered user has feelings of sympathy, such as "Like" or following, regarding information posted by another person. In S310, the processor 201 determines whether the intention expression data received in S204 is data indicating sympathy or data indicating non-sympathy. Data indicating sympathy is data indicating positive feelings such as "Like." Data indicating non-sympathy is, for example, data indicating negative feelings such as "Dislike."

If it is determined in S310 that the data represents sympathy, then in S311 the processor 201 acquires the data that is the subject of sympathy from a web application corresponding to the received usage information. For example, the processor 201 acquires the posted information on which the newly registered user pressed "Like" from the server function unit 307 of the information processing device 102. On the other hand, if it is determined in S310 that the data represents dislike, then in S312 the processor 201 acquires the data that is the subject of dislike from a web application corresponding to the received usage information. For example, the processor 201 acquires the posted information on which the newly registered user pressed "Dislike" from the server function unit 307 of the information processing device 102.

In S313, the type of data acquired in S311 or S312 is determined. If it is determined that the acquired data is text data, the process proceeds from S302. On the other hand, if it is determined that the acquired data is image data, the process proceeds from S306.

In this way, according to this embodiment, the preferences of a newly registered user can be inferred from usage information of other web applications that the newly registered user is already using. For example, preferences are inferred from SNS posting information posted by the newly registered user. Since the newly registered user is likely to have often revised the content of the posted information before posting, it is likely to well represent the characteristics of the newly registered user. In this embodiment, such inference results are used to generate profile information, so it is possible to generate profile information that more appropriately represents the characteristics of the newly registered user.

In addition, in this embodiment, the preferences of the newly registered user are estimated based on the posted information of others with whom the newly registered user sympathizes. In other words, it is possible to reflect latent preferences and tastes that the newly registered user himself is not aware of in the profile information. In addition, in this embodiment, the characteristics of the posted information of others with whom the newly registered user does not sympathize are estimated. With such a configuration, for example, in the execution of matching described below, it is possible to prevent or make it difficult to identify communities that have characteristics similar to those with which the user does not sympathize. In addition, if, for example, inappropriate keywords that are contrary to public morals or images of an inappropriate genre are recognized as a result of the processing of S302 or S306, the data may be discarded and not used in subsequent processing.

As an example, the processing in Figure 7 may infer that the user "owns a motorcycle," "type of motorcycle: touring," "favorite color: blue," "favorite food: pasta," and "favorite sport: marine."

Refer again to FIG. 6. After the analysis in S205, in S206, the processor 201 uses the analysis results of S205 to generate profile information for the newly registered user. First, the processor 201 generates basic information from the profile information based on the management information 230 stored in the database 220 in S104. For example, the basic information is generated based on information of the required input fields on the new registration screen of the ABC app. Here, as an example, it is assumed that "Gender: Female", "Region: Prefecture A", and "Age: 30 years old" are generated.

Next, processor 201 creates a profile sentence based on the characteristics and data trends that are estimated to be preferences as a result of analyzing the posted information of the newly registered user. For example, if touring bikes are estimated to be a preference and the number of people that tend to go on tours is 3 to 4, processor 201 creates a profile sentence such as "I often invite friends and go on tours." Furthermore, if the analysis reveals multiple types of preferences, a profile sentence may be created that lists preferences that are highly related to each other. For example, if hot spring resorts are estimated to be a preference for travel destinations, it may be determined that travel and touring are highly related based on the distance between the words, and a profile sentence such as "I love hot springs" may be created in combination with the above profile sentence.

In S208, the processor 201 stores the basic information and profile statement generated in S206 in the database 220 as profile information 240. The basic information 241 in FIG. 2 is the basic information generated in S206, and the profile statement 242 is the profile statement generated in S206.

In S209, the processor 201 determines whether or not to perform matching. The determination in S209 is made, for example, based on whether or not the matching function has been selected in the function menu of the ABC app. If it is determined in S209 that matching is to be performed, the process proceeds to S210. On the other hand, if it is determined in S209 that the matching function is not to be performed, the process of FIG. 6 is terminated. That is, in S209, it is determined that matching is to be performed not only when "YES" is selected for message 1004 on setting screen 1000, but also when execution of the matching function is instructed when automatic generation of profile information is not to be performed.

Figure 8 is a flowchart showing the processing of S210. In S401, the processor 201 determines whether or not to perform matching using the profile information 240 saved in S208. The determination in S401 is made, for example, based on whether or not "YES" has been selected for message 1004 on the setting screen 1000 of Figure 10. If it is determined that matching is to be performed using the profile information generated in S206, in S402 the processor 201 retrieves the profile information 240 from the database 220.

In S403, the processor 201 generates display data for displaying matching items used in performing matching on the terminal device 104. In S403, the processor 201 generates display data for the matching items based on the profile information generated in S206. The display data for the matching items is, for example, content such as "gender," "area," "age," "ownership of motorcycle," "type of motorcycle," "favorite color," "favorite food," and "favorite sport" obtained from the profile information 240.

Figure 11 is a diagram showing an example of a screen displayed by the display data generated in S403. Screen 1100 displays message 1101 indicating that matching will be performed using items based on the newly registered user's profile information 240, and items 1102 obtained from the profile information 240. Items 1102 display the above items, and are displayed in a checked state as the default. The newly registered user can uncheck some of the items in items 1102 so that they are not used in performing matching.

In S403, the processor 201 further generates display data for displaying on the terminal device 104 items that can be added to the matching items. In S403, the processor 201 generates display data with the items obtained from the analysis results of S205 as added items. For example, if the genres "sports," "variety," "education," and "drama" were extracted from the viewing history data of the video data in S205, display data is generated with each of these genres as items 1104 that can be selected by the newly registered user. As shown in message 1103, it is displayed that items 1104 can be added, and the newly registered user can check each item in items 1104 to use them in performing matching.

Video viewing history is considered to reflect a person's preferences. In this embodiment, for example, genre information obtained from video viewing history is controlled to be used or not used in matching according to user instructions. Therefore, matching can be performed that takes the user's characteristics into greater consideration, and genres that the user does not want used in matching can be excluded from the matching execution.

In FIG. 11, item 1105 is further displayed as an item obtained from the analysis result of S205. For example, if the posting time is obtained from the metadata of the posting information in S205 and "6:00-8:00", "12:00-15:00", and "24:00-1:00" are extracted as the average posting time zone, then display data is generated using that information as item 1105 selectable by the newly registered user. The newly registered user can use item 1105 to perform matching by checking each item. The posting time zone may also be obtained by other configurations. For example, the posting time zone may be obtained by the processor 201 or the analysis unit 209 performing statistical processing based on the date and time data of past posting history, without the user setting it themselves.

The posting time period of posted information is considered to reflect the lifestyle rhythm of each poster. In this embodiment, the user's posting time period is extracted and controlled to be used or not used in matching execution according to the user's instructions. Therefore, matching can be performed that takes the user's characteristics into greater consideration, and posting time periods that the user does not want used in matching can be excluded from the matching execution.

In S403, the processor 201 generates display data for screen 1100 and transmits it to the terminal device 104. When the processor 401 of the terminal device 104 receives the display data from the server function unit 212 of the information processing device 101, it displays screen 1100 on a display unit such as a panel. A newly registered user checks or unchecks each item on screen 1100 and then presses the execute button 1106. When the execute button 1106 is pressed, the processor 401 of the terminal device 104 confirms the selected content and transmits the content to the server function unit 212 of the information processing device 101.

In S404, when the processor 201 receives the confirmed contents of the screen 1100 from the terminal device 104, it determines the matching items to be used in performing the matching. In S404, the processor 201 determines the items selected by the newly registered user on the screen 1100 as the matching items to be used in performing the matching. Thereafter, for each community, a similarity determination is performed between the contents of the items determined in S404 and the characteristics of communities already created in the ABC app. That is, the processes of S407 and S408 are repeated for the number of communities.

In S407, the processor 201 focuses on one of the communities already created in the ABC application and extracts the characteristics of that community. For example, the processor 201 may extract profile information of each of the multiple users belonging to that community and use the statistical values as the characteristics of the community. In S408, the processor 201 performs a similarity determination between the contents of the matching items determined in S404 and the characteristics of the community extracted in S407. At that time, a score may be used as the result of the similarity determination (similarity). For example, for the characteristic "bike type: touring" determined in S404, if the ratio of users who have the characteristic "bike type: touring" among the multiple users belonging to the community is equal to or greater than a threshold, the characteristic "bike type: touring" of the newly registered user is assigned a maximum value (e.g., 100%) as a score representing the similarity. The relationship between the threshold and the score may be determined in advance. In this way, the similarity to the characteristics of the community is derived for each of the matching items determined in S404. After S408, attention is focused on another community, and the processes of S407 and S408 are repeated.

In S409, the processor 201 identifies, as display candidates to be displayed on the terminal device 104, communities that are within a predetermined range from those with the highest similarity as a result of the similarity determination in S408. For example, assume that the following similarity determination results are obtained for each of matching items 1 to 3 of a newly registered user.

For matching item 1, similarity to community a = 80%, similarity to community b = 10%
For matching item 2, similarity to community a = 100%, similarity to community b = 100%
For matching item 3, similarity to community a = 0%, similarity to community b = 100%
In the above case, for example, the similarity of the newly registered user to community a is calculated as an average value of (80+100+0)/3=60%. Meanwhile, the similarity of the newly registered user to community b is calculated as an average value of (10+100+100)/3=70%. Then, it is determined that community b is more similar to the newly registered user than community a. In this way, the communities are ranked from highest to lowest similarity, and communities included within a specified range are identified as display candidates.

In addition, the characteristics estimated from the data of the non-sympathetic subject acquired in S312 may be reflected in the similarity of the newly registered user to the community. For example, if the similarity of the newly registered user to community b for the non-sympathetic feature "Case A" is 10%, the final similarity may be calculated as 60%, which is obtained by subtracting 10% from the similarity of the newly registered user to community b of 70%.

If it is determined in S401 that matching is not to be performed using the profile information 240 saved in S206, then in S405 the processor 201 acquires the user-created profile information 231 from the database 220. Then, in S406, the processor 201 determines matching items based on the user-created profile information 231. At that time, for example, as in S302, keyword extraction and feature extraction may be performed on the user-created profile information 231. Thereafter, a similarity determination between the contents of the items determined in S406 and the features of communities already created in the ABC app is performed for each community as described above.

In Fig. 8, a process for identifying candidate communities to be displayed by comparing the characteristics of a newly registered user with the characteristics of each community is described. On the other hand, as shown in Fig. 9, the characteristics of a newly registered user may be compared with the characteristics of each user registered in the ABC app, and communities to which highly similar users belong may be identified as candidates to be displayed.

Figure 9 is a flowchart showing other processing of S209. S501 to S506 are the same as those explained in S401 to S406 of Figure 8, so their explanation will be omitted. After S504, a similarity determination is made for each user between the contents of the item determined in S504 and the characteristics of users already registered in the ABC app. In other words, the processing of S507 and S508 is repeated a number of times corresponding to the number of users.

In S507, the processor 201 extracts the characteristics of the target user from among the users already registered in the ABC app. In S507, the characteristics of the target user may be extracted from the profile information of the target user. For example, similar to S302, keyword extraction and feature extraction may be performed on the profile information of the target user. In S508, the processor 201 performs a similarity determination between the contents of the matching items determined in S504 and the characteristics of the target user extracted in S507. At that time, a score may be used as the result of the similarity determination (similarity). For example, if there is a matching feature of "favorite color: blue" as a feature of the target user for the feature of "favorite color: blue" determined in S504, the maximum value (e.g., 100%) is assigned as a score representing the similarity for the feature of "favorite color: blue". Also, even if the feature "favorite color: blue" is not extracted as a feature of the focused user, for example, if the focused user has a high proportion of belongings that are blue, a score representing the similarity, for example 60%, is assigned in accordance with that proportion. In this way, the similarity to the focused user's features is derived for each of the matching items determined in S504. After S508, another user is focused on, and the processes of S507 and S508 are repeated.

In addition, the features estimated from the data of the non-sympathetic subject acquired in S312 may be reflected in the similarity of the newly registered user to the focused user. For example, if the similarity of the newly registered user to the focused user for the feature "Case A" for which the newly registered user does not sympathize is 10%, the final similarity may be calculated as 50%, obtained by subtracting 10% from the similarity of the newly registered user to the focused user, 60%.

In S509, the processor 201 identifies a user who is most similar to the user in the predetermined range based on the result of the similarity determination in S508. The user may be identified, for example, by the process described in S409. In S510, the processor 201 identifies the community to which the user identified in S509 belongs as a display candidate.

Refer to Fig. 6 again. After S210, in S211, the processor 201 generates display data for displaying the display candidates identified in S409 as matching results, and transmits the data to the terminal device 104. The processor 401 of the terminal device 104 displays a screen displaying the matching results on a display unit such as a panel, based on the received display data. After S211, the processing of Fig. 6 ends.

Figure 12 is a diagram showing an example of a screen displayed based on the display data generated in S211. In screen 1200, the names of the display candidate communities identified in S409 are displayed as community candidates 1201. A newly registered user can join a selected community by checking the desired community from among the communities displayed as community candidates 1201 and pressing button 1202.

Screen 1200 further displays the matching items used during matching in screen 1203. Screen 1203 displays the checked matching items 1102 on screen 1100. In this manner, in this embodiment, the items used in performing the matching are displayed along with the results of the matching. With this configuration, a newly registered user can easily understand what characteristics the communities displayed as community candidates 1201 have.

The community candidate 1201 may display a community that already exists in the ABC app, or a newly created community. For example, assume that there are three users, user a, user b, and user c, who are already registered in the ABC app. Also assume that the video viewing history of each user is as follows:

User A: "Sports", "Education", "Drama"
User B: "Variety", "Education"
User C: "Education", "Drama"
In this case, if the threshold for determining whether genres match between users is 60%, users a and c are deemed to match. Therefore, in this case, users a and c create an "education community." The "education community" may then be displayed as a recommended community candidate 1201 for newly registered users.

In addition, in FIG. 12, communities are displayed as community candidates 1201, but users may also be displayed. In that case, the user identified in S509 may be identified as a display candidate in S510 and displayed instead of community candidate 1201.

As described above, according to this embodiment, when a new user registers with the ABC app, a profile statement is automatically generated based on the usage information of other Web applications already used by the new user. The usage information of other Web applications is, for example, information posted to other SNS apps, video viewing history information on a video search site, and information indicating sympathy/non-sympathy with information posted by other contributors, and reflects the preferences of the new user. Therefore, a profile statement that more appropriately expresses the preferences of the new user can be generated. In addition, when registering, the user can set whether or not to automatically generate profile information, and can also set whether or not to perform matching with a recommended community based on the generated profile information. With such a configuration, the preferences of the new user can be reflected in the execution of matching without the user having to enter the contents of the matching items, and communities or users that are highly similar to the characteristics of the new user can be presented.

Summary of the embodiment
The information processing device of each of the above embodiments is an information processing device (101) capable of executing a Web application, and is equipped with a generation means (212, 210) for generating profile information of a newly registered user for the Web application, and the generation means acquires usage information of other Web applications used by the newly registered user, and generates the profile information based on the acquired usage information (208, 209).

Such a configuration makes it possible to generate profile information describing the characteristics of newly registered users and improve user convenience.

The information processing device further includes a first setting means (1000, 1002) for setting a period for which usage information of the other Web application is to be obtained, and the generation means is characterized in that it obtains usage information of the other Web application within the period set by the first setting means.

Such a configuration makes it possible to match a newly registered user with other users or communities whose characteristics are similar to those of the user over the past month, for example, and thus to match the user with other users or communities whose characteristics are similar to those of the user at any given time.

The usage information of the other web applications includes posted information. The posted information includes at least one of text data and image data.

With such a configuration, profile information can be generated based on, for example, text and photos of posted information on SNS, thereby better reflecting the preferences of newly registered users.

The usage information of the other web applications is characterized in that it includes image viewing history information. The usage information of the other web applications is characterized in that it includes information indicating sympathy for the posted information of other contributors.

With such a configuration, profile information can be generated based on, for example, video viewing history and "likes" and "follows," thereby better reflecting the preferences of newly registered users.

The information processing device is further characterized by having a matching means for matching, based on the profile information generated by the generation means, users or user groups having characteristics similar to the characteristics of the profile information.

With such a configuration, matching can be performed using profile information describing the characteristics of newly registered users.

The information processing device further includes a second setting means (1000, 1001) for setting whether or not to use the profile information generated by the generation means in the matching, and when the second setting means sets that the profile information generated by the generation means is to be used, the matching means performs the matching based on the profile information generated by the generation means.

Such a configuration makes it possible to match newly registered users with users or communities that have characteristics similar to those of the user.

The information processing device further includes a display control means (205) for displaying the results of matching by the matching means on a display unit, and the display control means displays (1200) the contents of the profile information used in the matching together with the results of the matching.

Such a configuration allows newly registered users to easily recognize the characteristics of the displayed users or communities.

The display unit is further characterized in that it is provided in a terminal device (104) different from the information processing device, and further includes a transmission means (1200) for transmitting display data for displaying the matching results to the terminal device.

With such a configuration, for example, matching results can be displayed on a newly registered user's mobile device.

The information processing device further includes a third setting means (1100, 1102) for setting items to be used for the matching among the items included in the profile information generated by the generation means, and the matching means performs the matching based on the contents of the items set by the third setting means.

With such a configuration, for example, items that are not convenient for a newly registered user can be prevented from being used in matching.

The information processing device further includes a fourth setting means (1100, 1104, 1105) for setting an analysis result to be used for the matching among the analysis results of the other Web applications, and the matching means performs the matching based on the analysis result set by the fourth setting means. The analysis result includes information regarding the viewing history of the image.

With such a configuration, for example, analysis results that are not favorable for a newly registered user can be prevented from being used in matching.

The analysis results are also characterized in that they include the posting times of the newly registered users to the other web applications.

Such a configuration can, for example, match users or communities who post to SNS with a similar lifestyle rhythm.

The invention is not limited to the above-described embodiments, and various modifications and variations are possible within the scope of the invention.

101, 102, 103 Information processing device: 104, 015 Terminal device: 201, 301, 401 Processor: 212, 307 Server function unit: 220, 310 Database

Claims (15)

An information processing device capable of executing a web application,
A receiving means for receiving, when a user is newly registered to the Web application, access information for other Web applications used by the newly registered user and an instruction to execute a matching function;
an acquisition means for acquiring usage information of the other Web application of the newly registered user from the other Web application accessed using the access information accepted by the acceptance means;
an extracting means for extracting features from the usage information of the other Web applications acquired by the acquiring means;
A generating means for generating profile information of the newly registered user based on the characteristics extracted by the extracting means;
an execution means for executing the matching function using the profile information generated by the generation means;
Equipped with
The usage information includes at least one of image data and text data posted to the other web application,
The extraction means extracts, when the usage information is the image data, a tendency of the image by image analysis of the image data as the feature, and when the usage information is the text data, extracts a tendency of a keyword by keyword extraction from the text data as the feature,
the generating means generates, as the profile information, a profile statement using at least one of the image tendency and the keyword tendency extracted by the extracting means as an estimated preference;
The matching function is a function of matching the newly registered user with a user or user group having characteristics similar to the characteristics of the newly registered user based on the profile information generated by the generation means.
23. An information processing apparatus comprising: A first setting unit is further provided for setting a period for which the usage information is to be acquired,
The acquisition means acquires the usage information within the period set by the first setting means.
2. The information processing apparatus according to claim 1, 3. The information processing apparatus according to claim 1, wherein the usage information includes viewing history information of an image. 4. The information processing apparatus according to claim 1, wherein the usage information includes information indicating sympathy for the posted information of another poster. The information processing device according to any one of claims 1 to 4, characterized in that the execution means, as executing the matching function, performs matching with a user or user group having characteristics similar to the characteristics of the profile information generated by the generation means, based on the profile information generated by the generation means. A second setting unit is provided for setting whether or not the profile information generated by the generating unit is to be used in the matching function ,
When the second setting means sets that the profile information generated by the generation means is to be used, the execution means executes the matching function based on the profile information generated by the generation means.
6. The information processing apparatus according to claim 5 , A display control unit is further provided for causing a result of the execution of the matching function by the execution unit to be displayed on a display unit,
The display control means displays the content of the profile information used in the matching function together with a result of execution of the matching function .
7. The information processing apparatus according to claim 5 , wherein the information processing apparatus is a computer . the display unit is provided in a terminal device different from the information processing device,
8. The information processing apparatus according to claim 7 , further comprising a transmission means for transmitting display data for displaying a result of execution of the matching function to the terminal device. a third setting means for setting an item to be used in the matching function among the items included in the profile information generated by the generating means,
The execution means executes the matching function based on the contents of the items set by the third setting means.
9. The information processing apparatus according to claim 5 , wherein the information processing apparatus is a computer . a fourth setting means for setting an analysis result to be used in the matching function from among the analysis results of the other Web applications;
The execution means executes the matching function based on the analysis result set by the fourth setting means.
10. The information processing apparatus according to claim 5 , wherein the information processing apparatus is a computer . The information processing apparatus according to claim 10 , wherein the analysis result includes information regarding a viewing history of an image. 12. The information processing apparatus according to claim 10 , wherein the analysis result includes a posting time of the newly registered user to the other Web applications. An information processing method executed in an information processing device capable of executing a web application, comprising:
a receiving step of receiving access information to other Web applications used by the newly registered user and an instruction to execute a matching function when the newly registered user is newly registered to the Web application;
an acquisition step of acquiring usage information of the other Web application of the newly registered user from the other Web application accessed using the access information received in the receiving step;
an extraction step of extracting features from the usage information of the other Web applications acquired in the acquisition step;
a generating step of generating profile information of the newly registered user based on the characteristics extracted in the extracting step ;
an execution step of executing the matching function by using the profile information generated in the generation step;
having
The usage information includes at least one of image data and text data posted to the other web application,
In the extraction step, if the usage information is image data, an image tendency is extracted as the feature by image analysis of the image data, and if the usage information is text data, a keyword tendency is extracted as the feature by keyword extraction of the text data,
In the generating step, a profile statement is generated as the profile information, using at least one of the image tendency and the keyword tendency extracted in the extracting step as an estimated preference;
The matching function is a function of matching the newly registered user with a user or a user group having characteristics similar to the characteristics of the newly registered user based on the profile information generated in the generating step.
23. An information processing method comprising: When a user newly registers to the web application, access information for other web applications used by the newly registered user and an instruction to execute a matching function are received;
obtaining usage information of the other Web application of the newly registered user from the other Web application accessed using the received access information;
Extracting features from the acquired usage information of the other Web applications;
generating profile information for the newly registered user based on the extracted features;
performing said matching function using said generated profile information;
It is a program to operate a computer in such a way,
The usage information includes at least one of image data and text data posted to the other web application,
When the usage information is image data, an image trend is extracted as the feature by image analysis of the image data, and when the usage information is text data, a keyword trend is extracted as the feature by keyword extraction of the text data;
generating a profile statement as the profile information, the profile statement using at least one of the extracted image tendency and the extracted keyword tendency as an estimated preference;
The matching function is a function of matching the newly registered user with a user or user group having characteristics similar to the characteristics of the newly registered user based on the generated profile information.
A program characterized by: When a user newly registers to the web application, access information for other web applications used by the newly registered user and an instruction to execute a matching function are received;
obtaining usage information of the other Web application of the newly registered user from the other Web application accessed using the received access information;
Extracting features from the acquired usage information of the other Web applications;
generating profile information for the newly registered user based on the extracted features;
performing said matching function using said generated profile information;
A computer-readable storage medium storing a program for operating a computer as described above ,
The usage information includes at least one of image data and text data posted to the other web application,
When the usage information is image data, an image trend is extracted as the feature by image analysis of the image data, and when the usage information is text data, a keyword trend is extracted as the feature by keyword extraction of the text data;
generating a profile statement as the profile information, the profile statement using at least one of the extracted image tendency and the extracted keyword tendency as an estimated preference;
The matching function is a function of matching the newly registered user with a user or user group having characteristics similar to the characteristics of the newly registered user based on the generated profile information.
A storage medium comprising:

Images