Compatibility analysis system, compatibility analysis device, and compatibility analysis method

Abstract

To provide a new method for analyzing a compatible character type according to the actual state of a friendship result.SOLUTION: An information recording unit 21 configured to store and accumulate, in a user information storage unit 20, retracement information which is information provided from a plurality of users and which relates to results of friendship with a specific partner, and a compatibility analysis unit 22 configured to analyze compatibility between a user and a personality type or compatibility between personality types based on at least the retracement information among the retracement information accumulated in the user information storage unit 20 and personality types of users who have provided the retracement information, To specify a compatible character type according to the actual state of a friendship.SELECTED DRAWING: Figure 4

Description

[Technical Field]

[0001] The present invention relates to a compatibility analysis system, a compatibility analysis device, and a compatibility analysis method, and is particularly suitable for use in a system for analyzing compatibility as friends. [Background technology]

[0002] Conventionally, techniques for analyzing compatibility as friendship partners have been known (see, for example, Patent Documents 1 to 3). The matching support system described in Patent Document 1 collects and makes viewable information posted about a user by friend users (information indicating the user's behavioral history and preferences, such as places the user has visited, the user's hobbies, and memories with the user, or information indicating objective impressions about the user's appearance and personality), and also calculates the compatibility between a first user and a second user based on the posted information about the first user collected from a first friend user and the posted information about the second user collected from a second friend user.

[0003] Patent Document 2 discloses the recommendation of compatible personality types. That is, the system described in Patent Document 2 classifies the user's personality, compatibility, etc. to make it easier to find a dating partner who is likely to be compatible, and by providing a bulletin board function, chat function, etc. for each classified type, it becomes easier to find someone who is compatible with you. In addition, for example, for a user whose personality is classified as type A, an explanation such as "If you are a man, you will be compatible with type B women" or "If you are a woman, you will be compatible with type C men" is displayed.

[0004] Patent Document 3 discloses introducing people who have a compatible personality type. The communication system described in Patent Document 3 uses a personality type compatibility table (table information indicating the degree of relationship (compatibility) between one personality type and another personality type) stored in a storage unit to extract the personality type that is most compatible with the user's personality type from multiple personality types, and matches the user with another user who has the most compatible personality type. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Patent No. 6608017 [Patent Document 2] Japanese Patent Application Laid-Open No. 2002-157328 [Patent Document 3] Patent No. 6904658 Summary of the Invention [Problem to be solved by the invention]

[0006] The technology described in Patent Document 1 analyzes the compatibility between individuals. In contrast, the technologies described in Patent Documents 2 and 3 match friendship partners based on the compatibility of personality types. However, Patent Document 2 does not describe how to identify compatible personality types. In the technology described in Patent Document 3, compatible personality types are identified in advance as table information. In contrast, the present invention aims to provide a new method for analyzing compatible personality types in accordance with the actual results of friendships. [Means for solving the problem]

[0007] In order to solve the above-mentioned problems, the present invention comprises an information recording means for storing and accumulating information provided by a plurality of users, including retrospective information regarding the results of friendships with specific individuals, in a storage medium, and a compatibility analysis means for analyzing the compatibility between a user and a personality type or the compatibility between personality types based on at least the retrospective information accumulated by the information recording means and the personality type of the user who provided the retrospective information. [Effects of the Invention]

[0008] According to the present invention configured as described above, the compatibility between a user and a personality type or between personality types is analyzed based on retrospective information provided by multiple users (and the personality types of the users who provided the retrospective information). Therefore, unlike conventional technology in which compatible personality types are identified in advance using table information, it is possible to identify compatible personality types in accordance with the actual results of friendships. [Brief explanation of the drawings]

[0009] [Figure 1] 1 is a diagram illustrating an example of the overall configuration of a compatibility analysis system according to a first embodiment. [Figure 2] FIG. 2 is a block diagram illustrating an example of a functional configuration of a user terminal according to the first embodiment. [Figure 3] FIG. 10 is a diagram illustrating an example of an input screen for review information according to the first embodiment. [Figure 4] FIG. 2 is a block diagram illustrating an example of a functional configuration of a server device according to the first embodiment. [Figure 5] FIG. 10 is a diagram showing an example of a screen display according to a first recommendation example in the first embodiment. [Figure 6] FIG. 10 is a diagram showing another example of a screen display according to the first recommendation example in the first embodiment. [Figure 7] FIG. 10 is a diagram showing an example of a screen display according to a second recommendation example in the first embodiment. [Figure 8] FIG. 10 is a diagram showing an example of a screen display according to a third recommendation example in the first embodiment. [Figure 9] FIG. 10 is a diagram showing an example of a screen display according to a fourth recommendation example in the first embodiment. [Figure 10] FIG. 10 is a block diagram illustrating an example of a functional configuration of a user terminal according to the second embodiment. [Figure 11] FIG. 11 is a diagram illustrating an example of an input screen for review information according to the second embodiment. [Figure 12] FIG. 10 is a block diagram illustrating an example of a functional configuration of a server device according to a second embodiment. [Figure 13] FIG. 10 is a diagram schematically illustrating an example of table information according to the second embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0010] (First embodiment) A first embodiment of the present invention will be described below with reference to the drawings. Fig. 1 is a diagram showing an example of the overall configuration of a compatibility analysis system according to the first embodiment. As shown in Fig. 1, the compatibility analysis system according to the first embodiment is configured to include user terminals 1 used by multiple users and a server device 2 connected to the user terminals 1 via a communication network 100 such as the Internet and / or a mobile phone network.

[0011] The user terminal 1 is configured by, for example, a smartphone, a tablet, or a personal computer. An application program (hereinafter referred to as a matching app) is installed on the user terminal 1. The application program executes various processes related to classification of personality types, recommendation of compatible personality types, introduction of users classified into compatible personality types, etc. in cooperation with the server device 2.

[0012] Fig. 2 is a block diagram showing an example of the functional configuration of a user terminal 1 according to the first embodiment. As shown in Fig. 2, the user terminal 1 has, as its functional configuration, a personality type classification unit 11, a classification result transmission unit 12, a review information input unit 13, a review information transmission unit 14, a recommended information reception unit 15, and a recommended information display unit 16. Note that only functional blocks related to the subject matter of this embodiment are shown here.

[0013] The functional blocks 11 to 16 execute the following processes through the cooperation of hardware and software. For example, the processes of the functional blocks 11 to 16 are executed by the operation of a program (including a matching application) stored in a storage medium such as RAM, ROM, a hard disk, or a semiconductor memory under the control of a processor of a microcomputer including a CPU, RAM, ROM, etc. In addition to the microcomputer, a DSP (Digital Signal Processor) etc. may also be included.

[0014] The personality type classification unit 11 (corresponding to classification means) classifies the user into one of a plurality of personality types by conducting a personality diagnosis through, for example, a diagnosis screen provided by a matching app. The personality diagnosis can utilize, for example, the MBTI (Myers-Briggs Type Indicator). In this case, the personality type classification unit 11 classifies the user into one of 16 personality types T1 to T16. A plurality of users who use the compatibility analysis system of this embodiment each conduct a personality diagnosis through the matching app to identify their own personality type.

[0015] The personality test applicable to this embodiment is not limited to the MBTI. For example, the Enneagram, Ecogram, Kretschmer's typology, the YG personality test, the Rorschach test, the TAT, the SCT, the Baum test, the Szöndi test, the Uchida-Klevelin psychiatric test, the Bender-Gestalt test, etc. may also be used.

[0016] Furthermore, the personality type classification unit 11 may classify the user into one of a plurality of segments specified by a plurality of personality types and a distinction between male and female. When the MBTI is used as the personality diagnosis, the personality type classification unit 11 classifies the user into one of 16×2=32 segments (T1-male, T1-female, ..., T16-male, T16-female).

[0017] The classification result transmission unit 12 transmits information indicating the classification result by the personality type classification unit 11 to the server device 2. The classification result information includes information for identifying the user (for example, a user ID, a user name, etc. registered in the server device 2 when starting to use the matching app; hereinafter referred to as user identification information) and information on the classified personality type. Information on the classification result based on the personality diagnosis performed by each user at any timing is transmitted from the multiple user terminals 1 to the server device 2 at any time.

[0018] Note that, although the configuration example shown here is one in which a personality diagnosis is performed through a diagnosis screen provided by the matching app, and information on the classification results obtained thereby is transmitted from each user's user terminal 1 to the server device 2, the present invention is not limited to this. For example, each user may access the server device 2 from the user terminal 1 through the matching app, and perform a personality diagnosis on a diagnosis screen provided by the server device 2. In this case, the server device 2 has the function of classification means.

[0019] Although not shown as a functional block in FIG. 2, the matching app has a function to search for users who have registered their user IDs in the compatibility analysis system and display user information. For example, the matching app has a function to input desired conditions for a partner by the user and search the database of the server device 2 to extract and present one or more users who match the desired conditions. Each user who uses the matching app registers their own profile information in the server device 2 when they start using the matching app. The profile information includes, for example, the user's name, age, gender, place of residence, occupation, hobbies, self-introduction, photo, etc. When a user performs a search, they can input desired conditions related to this profile information.

[0020] Furthermore, a personality type can also be used as a desired condition. The personality type is classified by the personality type classification unit 11. As will be described in detail later, the server device 2 associates the personality type of each user with the user ID as one piece of user information and records it in a database based on the information of the classification result transmitted from the user terminal 1. When this personality type is input as a desired condition, the matching app searches the database of the server device 2 to extract and present users who are classified into a personality type that matches the desired condition. As will be described later, this embodiment has a function of recommendation means that recommends to the user a personality type that is compatible with the user's personality type. The user can input the recommended personality type as a desired condition. It is also possible to perform a search using an AND condition between the personality type and profile information.

[0021] The matching app also has a function for exchanging messages and chatting between users via the server device 2. A user can use the message function or chat function to request a relationship with a specific person, and if the specific person accepts the request, the user can actually start a relationship with the person.

[0022] The retrospective information input unit 13 inputs retrospective information about the results of a user's friendship with a specific person through an input screen provided by the matching app. The specific person is, for example, another user who uses the matching app. For example, when user A and user B have some kind of friendship, user A and user B each input retrospective information from the matching app. From user A's perspective, user B is a specific person, and from user B's perspective, user A is a specific person.

[0023] Here, friendship is typically when users actually meet and interact with each other, and dating is a typical example of friendship between users of the opposite sex, but is not limited to this. For example, friendship may be in a virtual space. Furthermore, friendship is not limited to one-to-one friendship, but may be friendship between three or more people (for example, group friendship). For example, in the case of a group friendship consisting of three users A, B, and C, users B and C are specific partners from user A's perspective. User A inputs retrospective information regarding his relationship with user B, and also inputs retrospective information regarding his relationship with user C. Retrospective information may be input for only one of users B or C.

[0024] The retrospective information includes information about at least one of the user's impressions of an actual friendship with a specific person, their impression of the other person, their own reflections, and their hopes for the other person, as well as information identifying the specific person (user identification information). For example, if user A and user B go on a date, and after the date is over, users A and B each launch an input screen of a matching app and input retrospective information about their impressions of the date, their impression of the other person, their own reflections, and their hopes for the other person (for example, they would have preferred a more serious person, the pace of the conversation was good, etc.). This retrospective information can be said to be information suggesting the conditions required for a friendship target or the conditions that are important for a friendship target.

[0025] The retrospective information input by the retrospective information input unit 13 is not limited to information resulting from friendships with a matching app user as a specific partner, but may also be information resulting from friendships with a non-user of the matching app who has been met by any means. In this case, the retrospective information does not include information identifying the specific partner (such as a matching app user ID or username), but instead includes information indicating the specific partner's personality type. When interacting with a user, the user asks the other person about their personality type and inputs it on the input screen of the matching app. The personality type asked from the other person at this time does not need to be based on the results of the other person actually taking a personality assessment, but may be based on the other person's self-analysis.

[0026] 3A and 3B are diagrams showing examples of a screen for inputting retrospective information. Fig. 3A shows an example of a first input screen that is displayed when a user instructs a matching app to input retrospective information. The first input screen includes a name input field 31 for inputting the name of a specific person with whom the user has had a friendship, a personality type selection field 32 for selecting the personality type of the specific person, a location selection field 33 for selecting the location where the user met the specific person, and a button 34 for instructing transition to the next screen.

[0027] In the location selection field 33, a matching app or other option is selected. If "Other" is selected in the location selection field 33, the user selects a personality type that the user learned from a specific person during their friendship in the personality type selection field 32. In addition, the name of the person may be entered in the name input field 31, or may be left blank.

[0028] On the other hand, if "matching app" is selected in the location selection field 33, the name of the other person is entered in the name input field 31. As described above, if the specific other person is a user of a matching app, the personality type of the user can be identified by the server device 2, so the operation of selecting the other person's personality type in the personality type selection field 32 is not essential, but may be selected. Note that if the other person's name is entered in the name input field 31 and "matching app" is selected in the location selection field 33, the input information may be transmitted to the server device 2 to identify the other person's personality type, and the identified personality type may be automatically selected in the personality type selection field 32.

[0029] After entering the necessary information in the name input field 31, personality type selection field 32, and location selection field 33, pressing the transition instruction button 34 transitions to the second input screen shown in Fig. 3(b). The second input screen includes an impression selection field 35 for selecting the impression the user had of a particular person as a result of actually interacting with them, a detailed information input field 36 for entering any information in free text format, including information on at least one of the following: thoughts about the interaction, personal reflections, and hopes for the other person, and an input completion button 37.

[0030] 3(b) shows an example in which the user selects the appropriate impression from three options in the impression selection field 35: "bad," "good," and "neither good nor bad." However, this is not limiting. A configuration in which the user can select from four or more options is also possible. After entering the necessary information in the impression selection field 35 and the detailed information input field 36, pressing the input completion instruction button 37 sends the review information entered on the first input screen and the second input screen to the server device 2 together with the user identification information.

[0031] The retrospective information sending unit 14 sends the retrospective information input by the retrospective information input unit 13 to the server device 2 together with user identification information that identifies the user who sent the information. As described above, the retrospective information sending unit 14 sends the input retrospective information to the server device 2 in response to pressing of the input completion instruction button 37 on the second input screen shown in FIG. 3(b). The retrospective information input by the retrospective information input unit 13 at any timing in the plurality of user terminals 1 is sent from the plurality of user terminals 1 to the server device 2 as needed.

[0032] Here, when the retrospective information is directed to a user of the matching app as the specific partner, the retrospective information includes user identification information that identifies the specific partner. As described above, the personality type of each user is associated with a user ID and recorded in the database of the server device 2, so it is possible to identify the personality type of the user who sent the retrospective information and the personality type of the specific partner who is the subject of the retrospective information by referring to the database based on the user identification information. Furthermore, when the retrospective information is directed to a non-user of the matching app as the specific partner, the retrospective information includes information indicating the personality type that the user learned from the specific partner. Therefore, in this case as well, it is possible to identify the personality type of the user who sent the retrospective information and the personality type of the specific partner who is the subject of the retrospective information.

[0033] Returning to Fig. 2, the recommended information receiving unit 15 receives recommended information transmitted from the server device 2. The recommended information display unit 16 displays the recommended information received by the recommended information receiving unit 15 on the display of the user terminal 1. The recommended information is information provided as a result of a predetermined analysis process performed by the server device 2 based on the information on the classification result transmitted from the user terminal 1 to the server device 2 by the classification result transmitting unit 12 and the review information transmitted from the user terminal 1 to the server device 2 by the review information transmitting unit 14. This analysis process will be described in detail using Fig. 4.

[0034] Fig. 4 is a block diagram showing an example of the functional configuration of the server device 2 according to the first embodiment. As shown in Fig. 4, the server device 2 has, as its functional configuration, an information recording unit 21, a compatibility analysis unit 22, and a recommendation unit 23 (corresponding to a recommendation means). The server device 2 also has, as a storage medium, a user information storage unit 20. Note that only functional blocks related to the subject matter of this embodiment are shown here.

[0035] The functional blocks 21 to 23 execute the following processes through the cooperation of hardware and software. For example, the processes of the functional blocks 21 to 23 are executed by the operation of a program stored in a storage medium such as RAM, ROM, a hard disk, or a semiconductor memory under the control of a processor of a microcomputer including a CPU, RAM, ROM, etc. In addition to the microcomputer, a DSP, etc. may also be included.

[0036] The information recording unit 21 (corresponding to information recording means) records information about users of the matching app in the user information storage unit 20. For example, the information recording unit 21 associates the user's profile information transmitted from the user terminal 1 when the user starts using the matching app with the user ID and records it in the user information storage unit 20. The information recording unit 21 also associates the information on the classification result transmitted from the user terminal 1 by the classification result transmission unit 12 (i.e., information indicating the user's personality type) with the user ID and records it in the user information storage unit 20. The information recording unit 21 also associates the review information transmitted from the user terminal 1 by the review information transmission unit 14 with the user ID and records it in the user information storage unit 20.

[0037] One piece of profile information and one piece of classification result information are recorded in association with one user ID. In contrast, zero or more pieces of retrospective information are recorded in association with one user ID. That is, each time retrospective information is transmitted from the user terminal 1 of each user, the information recording unit 21 stores and accumulates the retrospective information provided by the transmitting user in the user information storage unit 20 in association with the user ID of that user. At this time, if the retrospective information includes the user ID of a specific person (if the specific person who is the subject of the retrospective information is a user of a matching app), the information recording unit 21 may identify the personality type of the user corresponding to the user ID and record it together with the retrospective information. This is to facilitate the personality type compatibility analysis process described below.

[0038] The compatibility analysis unit 22 (corresponding to a compatibility analysis means) analyzes the compatibility between personality types based on the plurality of pieces of retrospective information stored in the user information storage unit 20 by the information recording unit 21, the personality types of each user who provided the plurality of pieces of retrospective information, and the personality type of a specific person who is the subject of the plurality of pieces of retrospective information. When the personality type classification unit 11 classifies users into one of a plurality of segments, the compatibility analysis unit 22 analyzes the compatibility between personality types of the opposite sex.

[0039] Here, the personality type of each user who provided the review information is associated with the user ID and recorded together with the review information. The personality type of the specific person who is the subject of the review information is identified based on the user ID or personality type information included in the review information. The compatibility analysis unit 22 analyzes the compatibility between the personality types of the multiple users who provided the multiple review information and the personality types of the multiple specific people who are the subject of the multiple review information, based on the multiple review information.

[0040] For example, the compatibility analysis unit 22 analyzes the compatibility of personality type T2 with personality type T1 based on multiple pieces of retrospective information provided by the user of personality type T1 and stored in the user information storage unit 20 after a date between the user of personality type T1 and the user of personality type T2. For example, if the impression of the other person selected in the impression selection field 35 of FIG. 3(b) is "bad," a negative score is assigned, and if it is "good," a positive score is assigned. The scores assigned for each piece of retrospective information are summed to calculate an impression score for personality type T2 with respect to personality type T1. Furthermore, the free text entered in the detailed information input field 36 of FIG. 3(b) is subjected to natural language analysis. For example, a predetermined negative score is assigned to words or phrases that create a negative impression of a specific other person, and a predetermined positive score is assigned to words or phrases that create a positive impression of a specific other person. The scores assigned for each piece of retrospective information are summed to calculate a detailed score for personality type T2 with respect to personality type T1. Then, a compatibility score is calculated using a predetermined function based on the impression score and the detailed score, and the compatibility of personality type T2 with respect to personality type T1 is determined based on this compatibility score. For example, the compatibility level is expressed in five levels, and one of the five compatibility levels is identified based on the calculated compatibility score.

[0041] Furthermore, the compatibility analysis unit 22 analyzes the compatibility of personality type T1 with personality type T2 based on a plurality of pieces of retrospective information provided by the user of personality type T2 after the user of personality type T1 and the user of personality type T2 have gone on a date and stored in the user information storage unit 20. The method of analyzing the compatibility is the same as described above. Note that the compatibility between personality type T1 and personality type T2 may be analyzed based on a plurality of pieces of retrospective information provided by the user of personality type T1 and the user of personality type T2, rather than analyzing the compatibility of personality type T2 with personality type T1 and the compatibility of personality type T1 with personality type T2 separately.

[0042] The compatibility analysis unit 22 also analyzes the compatibility between the personality types for other combinations of two personality types in the same manner as above. Then, based on the results of these analyses, it identifies combinations of personality types that are compatible (for example, personality types whose compatibility is at or above a predetermined level, or personality types whose compatibility score is at or above a threshold). The personality type combinations may be ranked in descending order of compatibility (or descending order of compatibility score). Note that the analysis method described here is an example and is not limited to this.

[0043] By analyzing the compatibility between personality types in this way, it becomes possible to identify compatible personality types based on the actual state of friendship, unlike conventional techniques that identify compatible personality types in advance using table information. In particular, by analyzing retrospective information about the results of friendships with a specific person (for example, retrospective information after a date with a specific person), it is possible to identify personality types that are more compatible than the personality type to which the specific person belongs. Furthermore, it is possible to verbalize the ideal that the user desires in a friend (which the user himself / herself may not have been clearly aware of) by inputting retrospective information (free text entered in the detailed information input field 36), and to identify a personality type that satisfies the verbalized ideal.

[0044] Based on the analysis results of the compatibility analysis unit 22, the recommendation unit 23 provides information about a user classified into a certain personality type to other users classified into a personality type analyzed to be compatible with the certain personality type. That is, the recommendation unit 23 transmits information about a user classified into a certain personality type as recommendation information to the user terminal 1 of another user classified into a personality type analyzed to be compatible with the certain personality type. As described above, in the user terminal 1, the recommendation information transmitted from the server device 2 is received by the recommendation information receiving unit 15, and the recommendation information is displayed on the display of the user terminal 1 by the recommendation information display unit 16. The information about a user transmitted as recommendation information can include, for example, at least one of the user's user identification information, profile information, and other information. Below, several examples of providing recommendation information are described.

[0045] <First recommendation example> When there are multiple users classified into one personality type, the recommendation unit 23 may provide information about the multiple users to other users classified into a personality type that has been analyzed to be compatible with the single personality type. Also, when there are multiple personality types that have been analyzed to be compatible with the single personality type, the recommendation unit 23 may provide information about users classified into the single personality type to multiple other users that belong to the multiple personality types.

[0046] For example, if the compatibility analysis unit 22 analyzes that personality types T5 and T12 are compatible with personality type T1, the recommendation unit 23 transmits information of multiple users classified into personality type T1 as recommendation information to the user terminals 1 of multiple users classified into personality types T5 and T12. If there are other personality types analyzed as being compatible with personality type T5 besides personality type T1 (for example, if it is analyzed as being compatible with personality type T7), the recommendation unit 23 also transmits information of multiple users classified into personality type T7 as recommendation information to the user terminals 1 of multiple users classified into personality type T5.

[0047] As described above, in the user terminal 1, the recommended information transmitted from the server device 2 is received by the recommended information receiving unit 15, and is displayed on the display of the user terminal 1 by the recommended information display unit 16. FIG. 5 is a diagram showing an example of recommended information displayed by the recommended information display unit 16. In the above example, FIG. 5 shows an example of recommended information displayed on the user terminal 1 of a user belonging to personality type T5. In the following, the user displaying the recommended information will be referred to as the viewing user, and the user who is the target of the recommended information (the user being recommended) will be referred to as the recommending user, to distinguish between the two.

[0048] 5(a) shows an example of a screen displayed when a viewing user (here, a user belonging to personality type T5) instructs the matching app to display recommended information. This screen displays two personality types, personality type T1 and personality type T7, as personality types that are compatible with personality type T5. In addition, for each of personality type T1 and personality type T7, the degree of compatibility with personality type T5 analyzed by compatibility analysis unit 22 is displayed using star marks on a five-point scale.

[0049] When the viewing user selects either personality type T1 or personality type T7 on the screen shown in Fig. 5(a), the screen transitions to the screen shown in Fig. 5(b), which displays a list of the names and thumbnail photos of recommended users who belong to the selected personality type. Here, information on five recommended users is displayed, but by scrolling the screen, it is possible to display information on recommended users from the sixth onwards.

[0050] When the viewing user selects one of the recommended users on the screen of FIG. 5(b), the screen transitions to the screen shown in FIG. 5(c), where an enlarged photo of the selected recommended user is displayed, along with information such as the user's personality type and part of their profile information. In addition, the compatibility level with the user's personality type T5 analyzed by the compatibility analysis unit 22 may be displayed on a five-point scale using star marks. The screen shown in FIG. 5(c) displays a profile display button 51, a bookmark button 52, a message button 53, and a chat button 54, and the user can select and operate any of the buttons.

[0051] Pressing the profile display button 51 displays detailed profile information of the selected recommended user. In addition to the profile information, retrospective information (free text entered in the detailed information input field 36) provided by the recommending user may also be displayed. The retrospective information can be used as reference information when the viewing user decides whether or not to request a friendship with the recommended user. Furthermore, since the retrospective information can also reveal tendencies regarding what the recommending user desires and dislikes in a friendship partner, a viewing user who is considering requesting a friendship with the recommended user can use the retrospective information as hints on what to keep in mind when making a friendship request.

[0052] When the bookmark button 52 is pressed, the information recording unit 21 associates the information (e.g., user ID) of the selected recommended user with the user ID of the viewing user and records it as bookmark information in the user information storage unit 20. By adding a bookmark, the user can later use the user search function of the matching app at any time to search for the bookmarked user.

[0053] Pressing message button 53 allows the viewing user to send a message to the recommending user. Pressing chat button 54 allows the viewing user to start a chat with the recommending user. As described above, the viewing user can use this message function or chat function to apply for friendship with the recommended user they have selected, and if the recommended user responds, they can actually establish friendship.

[0054] Here, an example is shown in which a profile display button 51, a bookmark button 52, a message button 53, and a chat button 54 are displayed on a screen displaying recommended information, but these buttons are also displayed on other screens. For example, they are also displayed on a screen displaying users searched by entering desired search criteria. A user can bookmark a user by pressing the bookmark button 52 when a photo of that user is enlarged on the search result display screen.

[0055] When displaying a list of recommended users as shown in Figure 5(b), users who have already been bookmarked by the viewing user may be preferentially displayed at the top of the list. In this way, when viewing a list of recommended users with personality types that are recommended as being compatible with the viewing user's personality type, recommended users bookmarked by the viewing user are displayed at the top of the list, making it easier to access favorite recommended users from the list.

[0056] Furthermore, if there is a recommending user who has bookmarked the viewing user, the recommending user may be preferentially displayed at the top of the list. In this way, the viewing user can recognize the recommending users who are interested in him or her from the list. Note that both the recommending users who are bookmarked by the viewing user and the viewing users who have bookmarked the viewing user may be displayed at the top of the list in a manner that allows them to be distinguished from each other.

[0057] While FIG. 5 shows an example in which recommended information is displayed using three-stage screen transitions, the present invention is not limited to this. For example, recommended information may be displayed using two-stage screen transitions as shown in FIG. 6. FIG. 6(a) shows an example of a screen displayed when a browsing user instructs a matching app to display recommended information. This screen displays a list of recommended users belonging to personality types T1 and T7 that have been analyzed to be compatible with personality type T5. In addition to the names and thumbnail photos of the recommended users, the recommended users' personality types (either personality types T1 or T7) are also displayed. On this list screen, recommended users with bookmarks may be preferentially displayed at the top of the list.

[0058] When the viewing user selects one of the recommended users on the screen of Fig. 6(a), the screen transitions to the screen shown in Fig. 6(b), where an enlarged photo of the selected recommended user is displayed, along with information such as the personality type, part of the profile information, and the compatibility between the selected recommended user's personality type (either personality type T1 or T7) and personality type T5. The compatibility is displayed on a five-point scale using star marks.

[0059] As another example, the recommended information may be displayed in only one step without screen transitions. For example, when a viewing user instructs the matching app to display recommended information, a screen similar to that shown in FIG. 6(b) may be displayed. In this case, for example, by swiping the screen, it is possible to sequentially view information on multiple recommended users belonging to personality types T1 and T7 that have been analyzed to be compatible with personality type T5. Note that when this screen is displayed, recommended users with bookmarks may be displayed first.

[0060] <Second recommendation example> The recommendation unit 23 may be configured to have a first function of recommending to a user classified into one personality type one or more personality types that have been analyzed to be compatible with the one personality type, and a second function of providing information about the user to the matching apps of multiple other users classified into the specified personality type in response to the user classified into one personality type specifying one of the one or more personality types recommended by the first function in a matching app.

[0061] For example, if the compatibility analysis unit 22 analyzes that personality types T5 and T12 are compatible with personality type T1, the recommendation unit 23 has a first function of transmitting information on personality types T5 and T12, which have been analyzed to be compatible with personality type T1, as first recommendation information to the user terminals 1 of multiple users classified into personality type T1. In the user terminals 1 of the users classified into personality type T1, the first recommendation information transmitted from the server device 2 is received by the recommendation information receiving unit 15, and the first recommendation information is displayed on the display of the user terminal 1 by the recommendation information display unit 16.

[0062] When a user classified into personality type T1 specifies, for example, personality type T12 in the matching app from among personality types T5 and T12 recommended by the first function, recommendation unit 23, as a second function, transmits information about the user who made the specification as second recommendation information to user terminals 1 of multiple users classified into the specified personality type T12. In user terminal 1 of the user classified into personality type T12, the second recommendation information transmitted from server device 2 is received by recommendation information receiving unit 15 and displayed on the display of user terminal 1 by recommendation information display unit 16.

[0063] 7 is a diagram showing an example of display of recommended information relating to a second recommendation example by the recommended information display unit 16. Fig. 7(a) shows an example of a screen displayed on the user terminal 1 based on the first function of the recommendation unit 23 when a browsing user belonging to personality type T1 instructs the matching app to display recommended information in the above example. This screen displays two personality types, personality type T5 and personality type T12, as first recommended information as personality types that are compatible with personality type T1, and also displays the compatibility with personality type T1 on a five-point scale using star marks.

[0064] When a viewing user performs an operation to designate either personality type T5 or personality type T12 on this screen, information about the viewing user who made the designation is sent as second recommended information to the user terminals 1 of multiple users classified into the designated personality type by the second function of the recommendation unit 23. In this case, a user belonging to personality type T1 who was in the position of a viewing user at the stage of the first function becomes a recommended user when viewed from the perspective of users belonging to personality types T5 and T12 viewing the second recommended information.

[0065] 7(b) to 7(d) show example screens displayed on the user terminal 1 of a user belonging to personality type T12, for example, based on the second function of the recommending unit 23 in the above example. The screen in FIG. 7(b) shows an example of an arbitrary display screen that displays arbitrary information, with number of recommended users information 71 displayed at the top of the screen. The number of recommended users information 71 indicates the number of recommended users who have specified personality type T12 using the first function of the recommending unit 23, and the example in FIG. 7(b) shows that there are two such recommended users. One of the two users is a user belonging to personality type T1 described in the above example.

[0066] When a viewing user of personality type T12 presses the position of the number of recommended users information 71 on the screen of FIG. 7(b), the screen transitions to the screen shown in FIG. 7(c), which displays a list of recommended users who have specified personality type T12. Here, the names, thumbnail photos, and personality types of the recommended users are displayed. When the viewing user selects one of the recommended users on the screen of FIG. 7(c), the screen transitions to the screen shown in FIG. 7(d), which displays an enlarged image of the selected recommended user, as well as information such as the personality type and part of the profile information. This screen is similar to the screen shown in FIG. 6(b).

[0067] In the second example of recommendation described above, the viewing user who receives, by the second function, information about a user whose personality type has been recommended by the first function of the recommendation unit 23 can recognize that one or more users who are compatible with the viewing user's personality type are interested in the viewing user's personality type (i.e., they wish to become friends with someone who has the same personality type as the viewing user). In response to this, if the viewing user becomes interested in one of the recommended users, the viewing user can communicate with the recommended user using the message function or chat function of the matching app and actually become friends with the recommended user.

[0068] The recommendation unit 23 may provide information about the recommended user (the first user) only to other users who satisfy a predetermined condition among other users (users who become viewing users for the second function) who are classified into a personality type analyzed to be compatible with the first personality type. For example, the recommendation unit 23 may determine whether the other users satisfy a predetermined condition previously specified by the first user, and provide information about the first user only to other users who are determined to satisfy the condition. Alternatively, the recommendation unit 23 may determine whether the first user satisfies a predetermined condition previously specified by the other users, and provide information about the first user to other users only if the condition is determined to be satisfied. The predetermined condition can be, for example, a condition based on the user's profile information. In addition to the information described above, the profile information may include ideological information such as the user's values, information about the user's appearance, etc.

[0069] <Third recommendation example> The recommendation unit 23 may provide information on personality types analyzed to be compatible with a certain personality type or information on other users classified into that personality type to a user classified into a certain personality type based on the analysis results of the compatibility analysis unit 22. The information on other users may include, for example, at least one of the other users' identification information, profile information, and other information.

[0070] Here, if there are multiple users classified into one personality type, the multiple users may be provided with information on personality types analyzed to be compatible with the one personality type or information on other users classified into the same personality type. Also, if there are multiple personality types analyzed to be compatible with a single personality type, information on the multiple personality types or multiple other users belonging to the multiple personality types may be provided to the user classified into the single personality type.

[0071] For example, if the compatibility analysis unit 22 analyzes that personality types T5 and T12 are compatible with personality type T1, the recommendation unit 23 transmits personality types T5 and T12 as recommendation information to the user terminals 1 of multiple users classified as personality type T1. In the user terminal 1, the recommendation information transmitted from the server device 2 is received by the recommendation information receiving unit 15, and is displayed on the display of the user terminal 1 by the recommendation information display unit 16. In this case, the recommendation information can be provided, for example, on a screen similar to the screen shown in FIG. 7(a).

[0072] Furthermore, when the compatibility analysis unit 22 analyzes that personality types T5 and T12 are compatible with personality type T1, the recommendation unit 23 may transmit information on multiple users classified into personality types T5 and T12 as recommendation information to the user terminals 1 of multiple users classified into personality type T1. In the user terminal 1, the recommendation information transmitted from the server device 2 is received by the recommendation information receiving unit 15, and is displayed on the display of the user terminal 1 by the recommendation information display unit 16.

[0073] 8 is a diagram showing an example of display of recommended information according to the third recommendation example by the recommended information display unit 16. FIG. 8(a) shows an example of a screen displayed on the user terminal 1 when a user belonging to personality type T1 instructs the matching app to display recommended information in the above example. This screen displays a list of recommended users belonging to personality types T5 and T12 that have been analyzed to be compatible with personality type T1. Here, the names, thumbnail photos, and personality types (either personality type T5 or T12) of the recommended users are displayed.

[0074] When the viewing user selects one of the recommended users on the screen of Fig. 8(a), the screen transitions to the screen shown in Fig. 8(b), where an enlarged photo of the selected recommended user is displayed, along with information such as the personality type, part of the profile information, and the compatibility between the selected recommended user's personality type (either personality type T5 or T12) and personality type T1. The compatibility is displayed on a five-point scale using star marks.

[0075] Although an example in which recommended information is displayed by two-stage screen transitions has been shown here, recommended information may also be displayed in one stage without screen transitions, as in the first recommendation example.

[0076] <Example of the fourth recommendation> The recommendation unit 23 may be configured to have a first function (similar to the first function in the second recommendation example described above) of recommending to a user classified into a certain personality type one or more personality types that have been analyzed to be compatible with the certain personality type, and a second function (different from the second function in the second recommendation example described above) of providing the user's matching app with information about multiple other users classified into the specified personality type in response to the user classified into a certain personality type specifying one of the one or more personality types recommended by the first function in the matching app.

[0077] For example, if the compatibility analysis unit 22 analyzes that personality types T5 and T12 are compatible with personality type T1, the recommendation unit 23 has a first function of transmitting information on personality types T5 and T12, which have been analyzed to be compatible with personality type T1, as first recommendation information to the user terminals 1 of multiple users classified into personality type T1. In the user terminals 1 of the users classified into personality type T1, the first recommendation information transmitted from the server device 2 is received by the recommendation information receiving unit 15, and the first recommendation information is displayed on the display of the user terminal 1 by the recommendation information display unit 16.

[0078] Then, when a user classified into personality type T1 specifies, for example, personality type T12 in the matching app from among personality types T5 and T12 recommended by the first function, recommendation unit 23, as a second function, transmits information on multiple users classified into the specified personality type T12 to user terminal 1 of the user who made the specification as second recommended information. In user terminal 1 of the user classified into personality type T1, the second recommended information transmitted from server device 2 is received by recommended information receiving unit 15 and displayed on the display of user terminal 1 by recommended information display unit 16.

[0079] 9 is a diagram showing an example of display of recommended information according to a fourth example of recommendation by the recommended information display unit 16. FIG. 9(a) shows an example of a screen displayed on the user terminal 1 based on the first function of the recommending unit 23 when a user belonging to personality type T1 instructs the matching app to display recommended information in the above example. This screen displays two personality types, personality type T5 and personality type T12, as first recommended information, which have been analyzed to be compatible with personality type T1. In addition, for each of personality type T5 and personality type T12, the degree of compatibility with personality type T1 analyzed by the compatibility analysis unit 22 is displayed on a five-point scale using star marks.

[0080] When the viewing user performs an operation to specify either personality type T5 or personality type T12 on the screen shown in Fig. 9(a), the second function of the recommendation unit 23 extracts information on multiple users belonging to the specified personality type from the user information storage unit 20, and transmits the extracted user information to the viewing user's user terminal 1 as second recommended information. As a result, the screen transitions to the screen shown in Fig. 9(b), where a list of recommended users belonging to the specified personality type T12 is displayed. Here, the names and thumbnail photos of the recommended users are displayed.

[0081] When the viewing user selects one of the recommended users on the screen of Fig. 9(b), the screen transitions to the screen shown in Fig. 9(c), where an enlarged photo of the selected recommended user is displayed, along with information such as the personality type and part of the profile information. In addition, the compatibility level analyzed by the compatibility analysis unit 22 may be displayed on a five-point scale using star marks.

[0082] In the first and second recommendation examples, information about users classified into one personality type is provided to other users classified into a personality type that has been analyzed to be compatible with that one personality type, so users classified into one personality type do not know to whom their information is being provided, and do not know whether they have been approached by other users who belong to their own personality type.On the other hand, from the perspective of other users receiving the recommendation, not only specific users who have directly approached them are recommended, but multiple users who are compatible with their own personality type are widely recommended, so they can easily select and approach users who interest them.

[0083] In contrast, the third and fourth recommendation examples are configured to provide a user classified into one personality type with information about personality types that have been analyzed to be compatible with that personality type or information about other users classified into that personality type.Therefore, from the perspective of a user classified into one personality type, personality types that are compatible with the user's own personality type or multiple users that belong to compatible personality types are widely recommended, making it possible for the user to select and approach users that interest them.

[0084] The recommendation unit 23 may extract information on other users who satisfy predetermined conditions from among other users classified into a personality type analyzed to be compatible with a given personality type, and provide the information to the given user. For example, the recommendation unit 23 may determine whether other users satisfy predetermined conditions previously specified by the given user, and provide only information on other users who are determined to satisfy the conditions to the given user. The predetermined conditions may be, for example, conditions based on the user's profile information. In addition to the information described above, the profile information may include ideological information such as the user's values, information on the user's appearance, etc.

[0085] (Second embodiment) A second embodiment of the present invention will be described below with reference to the drawings. An example of the overall configuration of a compatibility analysis system according to the second embodiment is the same as that shown in Fig. 1. However, a user terminal 1' is provided instead of the user terminal 1, and a server device 2' is provided instead of the server device 2.

[0086] Fig. 10 is a block diagram showing an example of the functional configuration of a user terminal 1' according to the second embodiment. In Fig. 10, components with the same reference numerals as those shown in Fig. 1 have the same functions, and therefore redundant explanations will be omitted here. As shown in Fig. 10, the user terminal 1' according to the second embodiment includes a review information input unit 13' instead of the review information input unit 13.

[0087] The functional blocks shown in Fig. 10 also execute the processes described below through cooperation between hardware and software. For example, the processes of the functional blocks shown in Fig. 10 are executed by the operation of a program (including a matching application) stored in a storage medium such as RAM, ROM, a hard disk, or a semiconductor memory under the control of a processor in a microcomputer configured with a CPU, RAM, ROM, etc. In addition to the microcomputer, a DSP, etc. may also be included.

[0088] The retrospective information input unit 13' inputs retrospective information about the results of the user's friendship with a specific person through an input screen provided by the matching app. In the second embodiment, the retrospective information includes information about the user's evaluation of the friendship when the user actually interacted with the specific person and the values ​​held by the specific person, as well as user identification information that identifies the specific person or information about the specific person's personality type.

[0089] FIG. 11 is a diagram showing an example of a review information input screen. FIG. 11(a) is an example of a first input screen displayed when a user instructs a matching app to input review information. This first input screen is similar to FIG. 3(a), so a description thereof will be omitted. On the first input screen of FIG. 11(a), when necessary information is entered in the name input field 31, personality type selection field 32, and location selection field 33 and then the transition instruction button 34 is pressed, the screen transitions to the second input screen shown in FIG. 11(b).

[0090] The second input screen includes an evaluation selection field 111 for selecting an evaluation of the relationship the user had when actually interacting with a specific person, a positive values ​​selection field 112 for selecting the positive values ​​held by the specific person, a negative values ​​selection field 113 for selecting the negative values ​​held by the specific person, an input completion button 114, and add buttons 115 and 116.

[0091] FIG. 11(b) shows an example in which an appropriate evaluation is selected from three options, "high," "medium," and "low," in the evaluation selection field 111. In the positive values ​​selection field 112, positive values ​​such as dexterity, adventurous spirit, responsibility, and health are prepared as options in advance, and the user can select the appropriate values ​​from the options. Pressing the add button 115 below the positive values ​​selection field 112 adds another positive values ​​selection field 112. The user can input one or more positive values ​​that a specific person held.

[0092] In the negative values ​​selection field 113, negative values ​​such as short temper, laziness, dishonesty, stubbornness, etc. are prepared as options in advance, and the user can select the relevant value from the options. When the add button 116 below the negative values ​​selection field 113 is pressed, one more negative values ​​selection field 113 is added. The user can input one or more negative values ​​that a specific person held.

[0093] After entering the necessary information in the evaluation selection field 111, the positive value selection field 112, and the negative value selection field 113, the user presses the input completion button 114, and the review information entered on the first input screen and the second input screen is sent to the server device 2' together with the user identification information.

[0094] FIG. 12 is a block diagram showing an example of the functional configuration of a server device 2′ according to the second embodiment. In FIG. 12, components with the same reference numerals as those shown in FIG. 4 have the same functions, and therefore redundant explanations will be omitted here. As shown in FIG. 12, the server device 2′ according to the second embodiment includes a user information storage unit 20′, an information recording unit 21′, a compatibility analysis unit 22′, and a recommendation unit 23′ instead of the user information storage unit 20, the information recording unit 21, the compatibility analysis unit 22, and the recommendation unit 23. The server device 2′ according to the second embodiment further includes a model information storage unit 24 as a storage medium.

[0095] The functional blocks shown in Fig. 12 also execute the processes described below through cooperation between hardware and software. For example, the processes of the functional blocks shown in Fig. 12 are executed by the operation of a program stored in a storage medium such as RAM, ROM, a hard disk, or a semiconductor memory under the control of a processor in a microcomputer configured with a CPU, RAM, ROM, etc. In addition to the microcomputer, a DSP, etc. may also be included.

[0096] The user information storage unit 20' and the information recording unit 21' are basically configured in the same manner as the user information storage unit 20 and the information recording unit 21 according to the first embodiment, but the content of the retrospective information stored in the user information storage unit 20' is different from that of the first embodiment. That is, as described above, the retrospective information stored in the user information storage unit 20' in the second embodiment includes information on the user's evaluation of the friendship when the user actually had a friendship with a specific person, and information on the values ​​held by the specific person.

[0097] The model information storage unit 24 stores in advance model information that specifies the relationship between values ​​and personality types. The model information can be, for example, table information that shows the values ​​held by people of each personality type for each of a plurality of personality types. FIG. 13 is a diagram that schematically shows an example of table information. The table information in FIG. 13 shows that, for example, a person of personality type T1 has value 1 and value 3. Also, it shows that a person of personality type T2 has value 2 and value n. Note that values ​​1 to n on the horizontal axis include positive values ​​and negative values.

[0098] The compatibility analysis unit 22' analyzes the personality type that is compatible with the user based on the retrospective information accumulated in the user information storage unit 20' by the information recording unit 21' and the table information pre-stored in the model information storage unit 24. For example, the compatibility analysis unit 22' refers to the table information stored in the model information storage unit 24 and identifies a personality type that has or does not have the values ​​held by a specific person, depending on the evaluation of the friendship. This will be described in more detail later.

[0099] The recommendation unit 23′ recommends to the user a personality type that has been analyzed as being compatible with the user based on the analysis results by the compatibility analysis unit 22′, or information about other users who have been classified into that personality type. Here, the recommendation unit 23′ may be configured to have a first function of recommending to the user one or more personality types that have been analyzed as being compatible with the user based on the analysis results by the compatibility analysis unit 22′, and a second function of providing the user with information about other users who have been classified into the specified personality type in response to the user specifying one of the one or more personality types recommended by the first function. When the personality type classification unit 11 classifies the user into one of multiple segments, the second function of the recommendation unit 23′ provides the user with information about other users who have been classified into the specified personality type in a segment of the opposite sex to the user.

[0100] For example, when analyzing personality types compatible with a user, if the evaluation of friendship indicated in the retrospective information provided by the user is "low," the compatibility analysis unit 22' refers to the table information to identify a personality type that does not have the negative values ​​included in the retrospective information. The recommendation unit 23' recommends to the user the personality type identified by the compatibility analysis unit 22' or information about other users classified into that personality type. If the evaluation of friendship is "low," it is highly likely that negative values ​​are serious for the user, and it is highly likely that a personality type with those negative values ​​is something that the user should avoid.

[0101] Furthermore, if the evaluation of friendship indicated in the review information provided by a user is "average," the compatibility analysis unit 22' refers to the table information to identify a personality type included in the review information that has neither positive nor negative values. The recommendation unit 23' recommends to the user the personality type identified by the compatibility analysis unit 22' or information about other users classified into that personality type. If the evaluation of friendship is "average," it is considered highly likely that the values ​​included in the review information are neither positive nor negative for the user.

[0102] Furthermore, if the evaluation of friendship indicated in the review information provided by a single user is "high," the compatibility analysis unit 22' refers to the table information to identify a personality type with positive values ​​included in the review information. The recommendation unit 23' recommends to the single user the personality type identified by the compatibility analysis unit 22' or information about other users classified into that personality type. If the evaluation of friendship is "high," it is highly likely that positive values ​​are important to the single user, and it is considered that a personality type with those positive values ​​is highly likely to be compatible with the single user.

[0103] When multiple pieces of retrospective information about a single user are stored in the user information storage unit 20', the compatibility analysis unit 22' performs the above-described analysis on each piece of retrospective information. Furthermore, the compatibility analysis unit 22' identifies a personality type identified by an AND condition, for example, between a personality type identified from retrospective information in which the user's rating on friendship is "low," a personality type identified from retrospective information in which the user's rating on friendship is "medium," and a personality type identified from retrospective information in which the user's rating on friendship is "high." The recommendation unit 23' recommends to the single user the personality type thus identified by the compatibility analysis unit 22' or information about other users classified into that personality type.

[0104] Alternatively, the compatibility analysis unit 22′ may perform the following analysis. For example, among multiple pieces of review information stored in the user information storage unit 20′ for a single user, for review information in which the evaluation of friendship is “low,” a personality type with negative values ​​included in the review information is identified, and a predetermined minus score is assigned to the identified personality type. Furthermore, for review information in which the evaluation of friendship is “high,” a personality type with positive values ​​included in the review information is identified, and a predetermined plus score is assigned to the identified personality type. These scores are then used to calculate a compatibility score using a predetermined function, and the compatibility level of each personality type for the single user is determined based on this compatibility score. For example, the compatibility level is expressed on a five-point scale, and one of the five compatibility levels is determined based on the calculated compatibility score. Furthermore, for review information in which the evaluation of friendship is “average,” a personality type with neither positive nor negative values ​​included in the review information may be identified, and a predetermined plus score may be assigned to the identified personality type. The compatibility analysis unit 22' may rank the personality types in descending order of compatibility (or descending order of compatibility score). The analysis method described here is an example, and is not limited to this.

[0105] Recommendation information recommending personality types that are compatible with a user can be provided, for example, on a screen similar to the screen shown in Figure 9(a). Recommendation information recommending other users who have been classified into personality types that have been analyzed to be compatible with a user can be provided, for example, on a screen similar to the screens shown in Figures 9(b) and (c). In the second embodiment, the compatibility indicated by the star symbol does not indicate the compatibility between personality types, but rather the compatibility between a user and a personality type.

[0106] 13 is used as an example of model information in the second embodiment, but the present invention is not limited to this. For example, the model information may be trained model information that has been machine-learned to receive evaluation information on friendships and information on positive / negative values ​​as input and output compatible personality types.

[0107] As described in detail above, in the compatibility analysis system according to the first and second embodiments, information provided by multiple users, which is retrospective information regarding the results of friendships with specific individuals, is stored and accumulated in a storage medium, and the compatibility between the user and a personality type or between personality types is analyzed based on at least the accumulated retrospective information and the personality type of the user who provided the retrospective information.

[0108] According to an embodiment configured in this manner, the compatibility between a user and a personality type or between personality types is analyzed based on retrospective information provided by multiple users (and the personality types of the users who provided the retrospective information). Therefore, unlike conventional technology in which compatible personality types are identified in advance using table information, it is possible to identify compatible personality types in accordance with the actual results of friendships.

[0109] It should be noted that the first and second embodiments are merely examples of specific embodiments for carrying out the present invention, and the technical scope of the present invention should not be construed as being limited by these. In other words, the present invention can be carried out in various forms without departing from the gist or main features thereof. [Explanation of symbols]

[0110] 1,1' User terminal 2,2' Server device (compatibility analysis device) 11 Personality Type Classification Section 12. Classification result transmission unit 13,13' Retrospective information input section 14. Review Information Transmission Unit 15 Recommendation information receiving unit 16 Recommendation information display section 20,20' User information storage section 21,21' Information recording section 22,22' Compatibility Analysis Department 23,23' Recommendation Section 24 Model information storage unit

Claims

1. an information recording means for storing and accumulating, in a storage medium, information provided by a plurality of users, review information relating to the results of friendships with specific people; and a compatibility analysis means for analyzing the compatibility between the user and a personality type or the compatibility between personality types based on at least the retrospective information stored by the information recording means and the personality type of the user who provided the retrospective information. A compatibility analysis system characterized by:

2. further comprising a classification means for classifying the plurality of users into any of a plurality of personality types; The compatibility analysis means analyzes compatibility between personality types based on the plurality of pieces of retrospective information accumulated by the information recording means, the personality types of the users who provided the plurality of pieces of retrospective information, and the personality type of the specific person who is the subject of the plurality of pieces of retrospective information. The compatibility analysis system according to claim 1 .

3. The compatibility analysis system described in claim 2, characterized in that the retrospective information includes information regarding at least one of the user's impressions of actually interacting with the specific person, their impression of the other person, their own reflections, and their hopes for the other person.

4. The compatibility analysis system of claim 2, further comprising a recommendation means for providing information about a user classified into one personality type based on the analysis results by the compatibility analysis means to other users classified into a personality type that has been analyzed to be compatible with the one personality type.

5. The above recommendation means is: A first function of recommending to a user classified into the one personality type one or more personality types that are analyzed to be compatible with the one personality type; a second function of providing information about the one user to a plurality of other users who are classified into the one personality type in response to the one user who is classified into the one or more personality types recommended by the first function specifying the one of the one or more personality types; The compatibility analysis system according to claim 4 .

6. The compatibility analysis system of claim 2, further comprising a recommendation means for providing a user classified into a certain personality type based on the analysis results by the compatibility analysis means with information on personality types analyzed to be compatible with the certain personality type or information on other users classified into that personality type.

7. The above recommendation means is: A first function of recommending to a user classified into the one personality type one or more personality types that are analyzed to be compatible with the one personality type; a second function of providing the one user classified into the one personality type with information about the plurality of other users classified into the designated personality type in response to the one user designated by the first function selecting one of the one or more personality types recommended by the first function; The compatibility analysis system according to claim 6 .

8. the classification means classifies the plurality of users into any of a plurality of segments specified by the plurality of personality types and a distinction between male and female; The compatibility analysis means analyzes the compatibility between personality types of the opposite sex. The compatibility analysis system according to any one of claims 2 to 7.

9. The retrospective information includes an evaluation of the user's actual friendship with the specific person and information about the values ​​held by the specific person, The compatibility analysis means analyzes a personality type that is compatible with the user based on the retrospective information accumulated by the information recording means and model information that specifies the relationship between the values ​​and personality types. The compatibility analysis system according to claim 1 .

10. the model information is table information indicating, for each of the plurality of personality types, values ​​held by a person of the personality type; The compatibility analysis means refers to the table information and identifies a personality type that has or does not have the values ​​held by the specific person in accordance with the evaluation of the friendship. The compatibility analysis system according to claim 9 .

11. further comprising a classification means for classifying the plurality of users into any of a plurality of personality types; The compatibility analysis system of claim 9, further comprising a recommendation means for recommending to the user a personality type that has been analyzed as being compatible with the user or information about other users who have been classified into that personality type based on the analysis results by the compatibility analysis means.

12. The above recommendation means is: a first function of recommending to the user one or more personality types that are analyzed to be compatible with the user based on the analysis result by the compatibility analysis means; a second function of providing the user with information about the other users classified into the specified personality type in response to the user specifying one of the one or more personality types recommended by the first function; The compatibility analysis system according to claim 11 .

13. the classification means classifies the plurality of users into any of a plurality of segments specified by the plurality of personality types and a distinction between male and female; The recommendation means provides the user with information about the other users who have been classified into a segment of the opposite sex to the user and whose personality type has been analyzed as being compatible with the user.

13. The compatibility analysis system according to claim 11 or 12.

14. an information recording means for storing and accumulating, in a storage medium, information provided by a plurality of users, review information relating to the results of friendships with specific people; and a compatibility analysis means for analyzing the compatibility between the user and a personality type or the compatibility between personality types based on at least the retrospective information stored by the information recording means and the personality type of the user who provided the retrospective information. A compatibility analysis device characterized by:

15. The compatibility analysis means analyzes compatibility between personality types based on the plurality of pieces of retrospective information accumulated by the information recording means, the personality types of the users who provided the plurality of pieces of retrospective information, and the personality type of the specific person who is the subject of the plurality of pieces of retrospective information. The compatibility analysis device according to claim 14 .

16. The compatibility analysis device according to claim 15, further comprising a recommendation means for providing information about a user classified into one personality type based on the analysis results by the compatibility analysis means to other users classified into a personality type that has been analyzed to be compatible with the one personality type.

17. The compatibility analysis device according to claim 15, further comprising a recommendation means for providing a user classified into a certain personality type based on the analysis results by the compatibility analysis means with information on personality types analyzed to be compatible with the certain personality type or information on other users classified into the same personality type.

18. The retrospective information includes an evaluation of the user's actual friendship with the specific person and information about the values ​​held by the specific person, The compatibility analysis means analyzes a personality type that is compatible with the user based on the retrospective information accumulated by the information recording means and model information that records the relationship between the values ​​and personality types. The compatibility analysis device according to claim 14 .

19. further comprising a classification means for classifying the plurality of users into any of a plurality of personality types; The compatibility analysis device according to claim 18, further comprising a recommendation means for recommending to the user information about a personality type that has been analyzed as being compatible with the user or information about other users that belong to that personality type based on the analysis results by the compatibility analysis means.

20. A compatibility analysis method characterized in that a compatibility analysis means provided as a functional configuration of a server device analyzes the compatibility between a user and a personality type or the compatibility between personality types based on at least the above-mentioned retrospective information, which is information provided from multiple user terminals and stored in a storage medium, and which is information regarding the results of a user's interactions with a specific person and the personality type of the user who provided the retrospective information.

21. The compatibility analysis means analyzes compatibility between personality types based on the plurality of pieces of retrospective information stored in the storage medium, the personality types of the users who provided the plurality of pieces of retrospective information, and the personality type of the specific person who is the subject of the plurality of pieces of retrospective information. The compatibility analysis method according to claim 20.

22. The compatibility analysis method described in claim 21, characterized in that a recommendation means provided as a functional configuration of the server device provides information about users classified into one personality type based on the analysis results by the compatibility analysis means to other users classified into a personality type that has been analyzed to be compatible with the one personality type.

23. The retrospective information includes an evaluation of the user's actual friendship with the specific person and information about the values ​​held by the specific person, The compatibility analysis means analyzes a personality type that is compatible with the user based on the retrospective information stored in the storage medium and model information that records the relationship between the values ​​and personality types. The compatibility analysis method according to claim 21.

24. The compatibility analysis method described in claim 23, characterized in that a recommendation means provided as a functional configuration of the server device recommends to the user information about a personality type analyzed to be compatible with the user or other users belonging to that personality type based on the analysis results by the compatibility analysis means.

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