JP2013050974A - Information provision server and information provision system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To enable provision of information relating to service for commodities or the like in consideration of not only personal relationship but also other factors.SOLUTION: When evaluation information on a commodity is generated, the evaluation information is generated not merely by calculating an average of past evaluations (see formula (4) illustrated in Fig. 5B) but by reflecting a personal relation of individual users in evaluation of the commodity (see formulae (1) and (2) illustrated in Fig. 5B) and by reflecting association of the commodity with each of the individual communities and a distance between a target user A and each of the communities (see formula (3) illustrated in Fig. 5B). This can present more appropriate evaluation to the user who considers purchase or the like of the commodity.

Description

  The present invention relates to an information providing server using a network such as the Internet.

  In recent years, with the widespread use of communication terminals such as the Internet, computers, PDAs, and mobile phones, it is possible to easily check information on a store that has been checked by an information magazine using a search site on the Internet. In such a search system, a user accesses a search site using a personal computer (hereinafter referred to as a PC) and then inputs a keyword such as a store name in order to search for a desired restaurant. The search site searches the store information held using the input keyword (phone number, name, etc.) as a key, and returns the search result to the user's PC. The user can obtain the evaluation information of the desired product (information indicating the degree of recommendation left by other users) by confirming the search result displayed on the liquid crystal panel of the PC. However, the more popular the product evaluation information, the larger the number of cases, and the evaluation often varies. Also, there is evaluation information that lowers the evaluation of the product due to mischief, and the user cannot determine which opinion (evaluation) may be trusted. In order to solve such a problem, a method of recommending (recommending) a product highly evaluated by a user with a high degree of closeness based on the closeness between users has been proposed (for example, see Patent Document 1).

JP 2004-326634 A

  However, as shown in Patent Document 1, based on the familiarity between users, in order to recommend products that are highly valued by users who are intimate with each other, the person himself / herself searches for and registers users who can be intimate. There is a problem that it has to be troublesome.

  In addition, although the closeness between users is high, the evaluation of users who can always be intimate may not be correct considering the attributes of the product. For example, the person himself (hereinafter referred to as user A) and the user B are friends at school, and although the intimacy is high, the preferences of the user A and the user B are widely different. In such a case, in consideration of the fact that the user A and the user B have different preferences, even if the user A who is highly familiar with the product considers purchase etc. There may be a problem that the user B's evaluation of the product cannot be believed as it is.

  The present invention has been made in view of the circumstances described above, and provides an information providing server capable of providing information related to services such as products in consideration of not only human relationships but also other factors. For the purpose.

The information providing server according to the present invention is an information providing server that provides evaluation information of a service provided by a store under management in response to a request from a user, and the evaluation of the service is performed from the communication terminal of the user. Receiving means for receiving an information acquisition request, past evaluation information acquiring means for acquiring past evaluation information representing the contents evaluated by other users in the past for the service, and humans between the user and the other users Intimate information acquisition means for generating intimate information between users representing the depth of relationship, and community related information representing the relationship between the service or the store and the net community when the other user belongs to the net community Community-related information acquisition means for generating the past evaluation information, the intimate information between users, and the community Based on the I-related information, and the new evaluation information generating means for generating a new rating information of the service,
Transmission means for transmitting the new evaluation information to the communication terminal.

  According to this configuration, when generating the evaluation information of the product, the evaluation information is not generated by simply taking the average of the evaluations obtained in the past, but the human relationship of each user is reflected in the evaluation of the product. And reflect the relationship between the product and each community. Thereby, it becomes possible to show more appropriate evaluation with respect to the user who considers the purchase of goods.

  As described above, according to the present invention, it is possible to provide information related to services such as products in consideration of not only human relationships but also other factors.

It is a figure which shows the architecture of the information provision system which concerns on this embodiment. It is the figure which illustrated registration contents of database DB2 concerning the embodiment. It is a block diagram which shows the function structure of the evaluation information provision server which concerns on the same embodiment. It is the figure which illustrated registration contents of database DB4 concerning the embodiment. It is a figure for demonstrating the production | generation method of the optimal evaluation information which concerns on the embodiment. It is a figure for demonstrating the production | generation method of the optimal evaluation information which concerns on the embodiment. It is a flowchart which shows operation | movement of the information provision system which concerns on the embodiment.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. In the following description, a shopping system that provides a user with a product is assumed to facilitate understanding of the description. However, the provision target is not limited to a tangible object such as a product, but information goods (for example, digital content) It may be intangible, and it is not particularly limited whether to provide it for a fee or free of charge.

A. Embodiment (1) Configuration of Embodiment FIG. 1 is a diagram showing an architecture of an information providing system 100 according to this embodiment. The information providing system 100 includes a plurality of community servers 200-k (k ≧ 1) that provide an Internet community (hereinafter referred to as “net community”), a personal information management server 300 that manages information representing the personal relationship of each user, and a desired And an evaluation information providing server 400 that provides evaluation information of the product to a user who wants the product.

  Here, the Internet community is a place where users with common interests (for example, hobbies and preferences), values and purposes (for example, information exchange and mutual assistance) communicate with each other on the Web through the Internet application. Specific examples include electronic bulletin boards and social networking (SNS). In the following description, the “place” provided by the community server 200-1 has a high relevance to the product α, and the “place” provided by the community server 200-2 has a low relevance to the product α. Assume a case. Further, when there is no need to particularly distinguish the community server 200-k, the community server 200-k is simply referred to as the community server 200.

  The community server 200-1 provides a place of communication (hereinafter referred to as community A) for a field of interest A (for example, fishing) that is highly related to the product α, while the community server 200-2 is connected to the product α. A place of communication (hereinafter referred to as community B) is provided for a field of interest B (for example, classical music) that is not relevant. These community servers 200 are configured by, for example, a server computer or a workstation. The community server 200 provides a personal communication tool that enables messages to be exchanged between users by arbitrarily combining electronic bulletin boards, blogs, SNS, chat, word-of-mouth, mailing lists, and the like.

  In addition, each community server 200 appropriately collects information necessary for grasping the human relationship between users (for example, the frequency of messages; hereinafter, human relationship information) and stores it in the database DB1. When each community server 200 receives a human relationship information acquisition request from the personal information management server 300, the community server 200 reads the human relationship information from the database DB 1 and returns it to the personal information management server 300 (a specific aspect of the human relationship information). Will be described later).

  The personal information management server (intimacy information acquisition means) 300 is configured by, for example, a server computer or a workstation, and based on the human relationship information obtained from each community server 200, the depth of the human relationship between users is expressed as a numerical value. And is registered in the database DB2 as an intimate value. The personal information management server 300 accesses each community server 200 at a predetermined timing and acquires human relationship information from each community server 200. The timing at which the information management server 300 accesses each community server 200 may be periodic (for example, once a day), but may be aperiodic, and the access frequency can be arbitrarily changed. . As a method for obtaining the intimacy value, a known method may be appropriately used.

  FIG. 2 is a diagram exemplifying registration contents in the database DB2 of the personal information management server 300. As shown in FIG. 2, the database DB <b> 2 includes a type of community in which a human relationship is formed, information for identifying users (hereinafter referred to as “user information”), and an intimacy value that represents the depth of the human relationship ( Maximum value: “10”) is registered in association with each other.

  More specifically, the user A and the user B form a personal relationship with the intimacy value “7” in the community A (provided by the community server 200-1), and the user A and the user C have the intimacy value “5” in the community A. It shows that the human relationship is formed. Further, the user A and the user B form a human relationship with the intimacy value “9” in the community B (provided by the community server 200-2), and the user A and the user D have the intimacy value “4” in the community B. Indicates that a relationship has been formed. As shown in FIG. 2, it can be seen that the intimacy values obtained according to the community to which the user belongs are different even between the same users (for example, user A and user B). This is because the frequency with which each user visits the community and the frequency of messages exchanged in the community differ. In the following description, the type of community, the information between users, and the intimacy value registered in the database DB2 are referred to as intimacy information between users.

  When the personal information management server 300 receives the acquisition request for the intimate user information from the evaluation information providing server 400, the personal information management server 300 reads the intimate user information according to the acquisition request from the database DB 2 and returns it to the evaluation information providing server 400.

  As will be described in detail later, for example, when the evaluation information providing server 400 has requested acquisition of the intimate information between users about “user A”, the personal information management server 300 stores the information between users registered in the database DB2. By referencing, the inter-user intimacy information for “user A” is specified. In the example shown in FIG. 2, the intimacy information between users including the community type “A”, the information between users “user A-user B”, and the intimacy value “7”, and the community type “B” and information between users. The personal information management server 300 identifies “user A-user B” and inter-user close information including the close value “9”. The personal information management server 300 returns to the evaluation information providing server 400 the inter-user intimacy information for the “user A” specified in this way.

  The evaluation information providing server 400 is configured by, for example, a server computer or a workstation, and performs distributed management or centralized management of product evaluation information provided by a shop on the Web under management. As described above, the evaluation information providing server 400 provides evaluation information of the product suitable for the user to a user who desires the desired product (for example, the product α). In the present embodiment, the case where there is one shop (shop a in FIG. 1) managed by the evaluation information providing server 400 will be described in order to facilitate the understanding of the description. Of course.

FIG. 3 is a block diagram showing a functional configuration of the evaluation information providing server 400.
The evaluation information providing server 400 includes an evaluation request receiving unit 410, an individual evaluation information acquiring unit 420, a community related setting unit 430, an inter-user intimate information acquiring unit 440, and an optimum evaluation information generating unit 450.

  The evaluation request reception unit (reception unit) 410 receives a request that the user wants to know the evaluation about the product provided by the shop. Specifically, a certain user (user A in FIG. 1; hereinafter, user A is assumed) evaluates a specific product (product α in FIG. 1; hereinafter, product α is assumed) by using his own PC or the like. When an input indicating that the user wants to know is performed, an evaluation acquisition request indicating the input content is received by the evaluation request receiving unit 410 via the Internet or the like. The evaluation request reception unit 410 transfers the received evaluation request from the user A to the individual evaluation information acquisition unit 420, the community related setting unit 430, and the inter-user intimacy information acquisition unit 440.

  When receiving the evaluation acquisition request for the product α from the user A, the individual evaluation information acquisition unit (past evaluation information acquisition means) 420 accesses the database DB3 of the shop a that provides the product α, and stores the product α so far. Acquire evaluation information of each user who made a purchase. When the individual evaluation information acquisition unit 420 acquires the evaluation information of each user, the individual evaluation information acquisition unit 420 outputs the evaluation information to the optimum evaluation information generation unit 450.

FIG. 4 is a diagram illustrating the registered contents of the database DB3.
In the database DB3, product names, information (user names) for identifying users who have been evaluated, and evaluation information representing evaluation contents are registered in association with each other. In the example shown in FIG. 4, the user B gives an evaluation “8” to the product α, the user C gives an evaluation “3” to the product α, and the user D It can be seen that the evaluation “5” is given to the product α.

  Upon receiving an evaluation acquisition request for the product α from the user A, the community related setting unit (community related information acquisition unit) 430 numerically represents the relationship between the community to which each user who has evaluated the product α belongs and the product. The distance between the target user A and each community is quantified (hereinafter referred to as community interest). The community related setting unit 430 outputs the shop related value and the community interest level to the optimum evaluation information generating unit 450 as community related set values.

<Community-related setting values>
1. Shop-related value value As described above, community A provides a place of communication for an area of interest A (for example, fishing) that is highly related to product α, while community B has a low relationship with product α. Provides a place to communicate about the field of interest B (for example, classical music). For this reason, the community-related setting unit 430 gives the shop-related value “8” to the community A while giving the shop-related value “3” to the community B in relation to the product α. It should be noted that the shop related value indicating the relationship between each product and each community may be registered in advance in a database (not shown) and read out.

2. Community Interest Level The distance between the target user A and each community (in other words, the interest level) is not always the same, but is usually different depending on the field of interest communicated in each community. For example, if there is a strong interest in the field of interest A (here “fishing”) and the community A is frequently accessed, the distance between the user A and the community A is close (for example, community interest level “8”). . On the other hand, if there is not much interest in the area of interest B (here, “classical music”) and the community B is rarely accessed, the distance between the user A and the community B becomes long (for example, community interest level). “3”).

  Here, the distance between the target user and each community may be determined according to the access frequency of the user to each community, the message exchange frequency in the community, and the like. In this embodiment, the maximum value of the shop-related value and the community interest level is set to “10”, but what value is set is arbitrary.

  When receiving the evaluation acquisition request for the product α from the user A, the inter-user intimate information acquiring unit (intimate information acquiring means) 440 makes an acquisition request for the intimate information between the users of the user A to the personal information management server 300. . The personal information management server 300 specifies the inter-user intimacy information of the user A by receiving the acquisition request of the intimacy information between the users of the user A and referring to the inter-user information registered in the database DB2. In the example shown in FIG. 2, the intimacy information between users including the community type “A”, the information between users “user A-user B”, and the intimacy value “7”, and the community type “B” and information between users. The personal information management server 300 identifies “user A-user B” and inter-user close information including the close value “9”.

  The inter-user intimacy information acquisition unit 440 acquires the inter-user intimacy information of the user A specified as described above from the personal information management server 300. The inter-user intimacy information acquisition unit 440 outputs the earned inter-user intimacy information to the optimum evaluation information generation unit 450.

  The optimum evaluation information generation unit (new evaluation information generation means) 450 uses the information provided from the individual evaluation information acquisition unit 420, the community related setting unit 430, and the inter-user intimacy information acquisition unit 440, so that the optimal product for the user A is obtained. An evaluation about α (hereinafter referred to as optimum evaluation information) is generated and provided to the user A.

5A and 5B are diagrams for explaining a method for generating optimum evaluation information.
As shown in FIG. 5A, the user A who is the target of providing the optimum evaluation information (that is, the target) belongs to the communities A and B, and is considering purchasing the product α at the shop a.

  User B, like user A, belongs to communities A and B and has purchased product α in the past. User B gives an evaluation “8” for the product α. Regarding the human relationship with the user A, the intimacy value “7” is given in the community A, and the intimacy value “9” is given in the community B (see FIG. 2).

  On the other hand, the user C belongs only to the community A and has purchased the product α in the past. User C gives an evaluation “3” for the product α. As for the human relationship with the user A, the intimacy value “5” is given in the community A (see FIG. 2).

  Furthermore, the user D belongs only to the community B and has purchased the product α in the past. The user D gives an evaluation “5” for the product α. As for the human relationship with the user A, the intimacy value “4” is given in the community B (see FIG. 2).

  Further, regarding the relevance between the product α and each of the communities A and B, the shop-related value “8” is given to the community A, and the shop-related value “3” is given to the community B.

  Further, regarding the distance between the target user A and each community, the community interest level “8” is given to the community A, and the community interest level “3” is given to the community B. The shop-related value and community interest level are part of the community-related setting value.

  In the above description, the evaluation information (for example, “8”) of the product α is output from the individual evaluation information acquisition unit 420 to the optimum evaluation information generation unit 450. Further, an intimacy value (for example, “7” or the like) representing the depth of the human relationship between the user A and another user in each community is output from the inter-user intimacy information acquisition unit 440 to the optimum evaluation information generation unit 450. Further, a community including a shop related value (for example, “8”) indicating the relationship between each community and the product α and a community interest level (for example, “3”) indicating the distance between each community and the target user A The related setting value is output from the community related setting unit 430 to the optimum evaluation information generating unit 450.

  When the optimum evaluation information generation unit 450 receives each piece of information from the individual evaluation information acquisition unit 420, the community related setting unit 430, and the inter-user intimacy information acquisition unit 440, first, the optimum evaluation information generation unit 450 obtains the equations (1) and (2) shown in FIG. By using it, the evaluation of the product α reflecting the depth of human relations of each user in each community is obtained.

  Next, the optimum evaluation information generation unit (transmission means) 450 reflects the relationship between the shop a and each community and the distance between each community and the target user A by using the expression (3) shown in FIG. 5B. The obtained product α is evaluated, and this is returned as optimum evaluation information to the user A's PC or the like.

  As described above, according to the present embodiment, not only the average of the evaluation is simply obtained (see the formula (4) shown in FIG. 5B), but the human relationship of each user is reflected in the evaluation of the product α (see FIG. 5B). And the relationship between the product α and each community and the distance between each community and the target user are reflected (see equation (3) shown in FIG. 5B). ), More appropriate evaluation can be shown to the user who considers the purchase of the product α.

  In the above-described example, the case where the shop related value is set based on the relationship between the product α and each of the communities A and B has been described. However, the relationship between the shop a that handles the product α and each of the communities A and B is described. Based on the above, shop-related values may be set.

(2) Operation of Embodiment FIG. 6 is a flowchart showing the operation of the information providing system 100. In the following description, it is assumed that the user A considers the purchase of the product α at the shop α on the Web (see FIG. 1).
User A accesses the shop α on the Web using a PC and makes an evaluation acquisition request for the product α. The evaluation acquisition request input to the PC (terminal transmission means) is received by the evaluation request receiving unit 410 of the evaluation information providing server 400 via the Internet or the like (step S110).

  The evaluation request reception unit 410 transfers the received evaluation acquisition request to the individual evaluation information acquisition unit 420, the community related setting unit 430, and the inter-user intimacy information acquisition unit 440 (step S110).

  When receiving the evaluation acquisition request, the individual evaluation information acquisition unit 420 accesses the database DB3 of the shop a that provides the product α, and acquires evaluation information of each user who has purchased the product α so far (step S120). . In the example illustrated in FIG. 4, the individual evaluation information acquisition unit 420 acquires the evaluation “8” as the evaluation information of the user B, acquires the evaluation “3” as the evaluation information of the user C, and evaluates the evaluation information as the evaluation information of the user D. Obtain “5”. The individual evaluation information acquisition unit 420 outputs the acquired evaluation information of each user to the optimum evaluation information generation unit 450.

  When receiving the evaluation acquisition request, the inter-user intimate information acquisition unit 440 makes an acquisition request for the inter-user intimacy information of the user A to the personal information management server 300. The personal information management server 300 specifies the inter-user intimacy information of the user A by receiving the acquisition request of the intimacy information between the users of the user A and referring to the inter-user information registered in the database DB2. In the example shown in FIG. 2, the intimacy information between users including the community type “A”, the information between users “user A-user B”, and the intimacy value “7”, and the community type “B” and information between users. The personal information management server 300 identifies “user A-user B” and inter-user close information including the close value “9”. The personal information management server 300 returns the identified inter-user intimacy information (here, the inter-user intimacy information of the user A) to the evaluation information providing server 400. When the inter-user intimate information acquiring unit 440 of the evaluation information providing server 400 acquires the intimate user-to-user information of the user A via the communication interface or the like (step S130), the inter-user intimate information acquiring unit 440 outputs the acquired information to the optimum evaluation information generating unit 450.

  When the community relation setting unit 430 receives the evaluation acquisition request, the community relation setting unit 430 generates a shop relation value obtained by quantifying the relation between the community to which each user who has evaluated the commodity α belongs and the commodity, and is a target. A community interest level is generated by quantifying the distance between the user A and each community. Then, the community related setting unit 430 sets these shop related value and community interest as community related set values (step S140), and outputs them to the optimum evaluation information generating unit 450.

  As described above, the community A provides a place of communication for the field of interest A (for example, fishing) that is highly related to the product α, while the community B has a field of interest B (not related to the product α). For example, it provides a place to communicate about classical music. For this reason, the community-related setting unit 430 gives the shop-related value “8” to the community A while giving the shop-related value “3” to the community B in relation to the product α.

  Further, since the target user A is strongly interested in the field of interest A (here “fishing”) and frequently accesses the community A, the community-related setting unit 430 sets the community interest level “8”. Give. On the other hand, the user A is not so interested in the field of interest B (here, “classical music”) and rarely accesses the community B. Therefore, the community-related setting unit 430 sets the community interest level “3”. Is granted. In this way, the community related setting unit 430 generates a community related setting value including the shop related value and the community interest level.

The optimum evaluation information generation unit 450 uses the information provided by the individual evaluation information acquisition unit 420, the community related setting unit 430, and the inter-user intimacy information acquisition unit 440, and is optimal for the user A. An evaluation relating to the product α (in other words, optimum evaluation information) is generated (step S150). Details regarding the method for generating the optimum evaluation information are omitted because they have been described above, but the optimum evaluation information to be generated includes the human relationship of each user (see equations (1) and (2) shown in FIG. 5B) and the product α. And the relationship between each community and the distance between the user A who is the target and each community (refer to Expression (3) shown in FIG. 5B). The optimal evaluation information generation unit 450 transmits the optimal evaluation information generated in this way to the user A's PC via the Internet or the like (step S160). When the user A receives optimal evaluation information via a communication interface (terminal receiving means) (not shown), the user A supplies the information to a display device (notification means) such as a liquid crystal display panel. The user A appropriately determines whether or not the product α has value for himself / herself by referring to the optimum evaluation information (for example, evaluation “6.11”) of the product α displayed on the display device. It becomes possible to do. Note that the optimum evaluation information is not limited to the display mode, and can be provided in any mode (sound, vibration, etc.) that can be identified by the user A.

B. Modification <Modification 1>
In the present embodiment, the community-related setting value including the shop-related value and the community interest level is assumed. However, the present invention is not limited to this, and it is only necessary to include at least one of the shop-related value and the community interest level.
Note that community interest level and intimate information between users change as time passes, so they may be updated at any time, regardless of whether they are periodic or aperiodic. good.

<Modification 2>
In the present embodiment, a case has been described in which all users (users B, C, D) other than the target user (user A) belong to a community. For example, other users (user B, etc.) belong to any community. May not belong, or may belong only to a community (such as community Z) to which the target user does not belong. In such a case, for example, the intimacy value “2” may be given uniformly and used to generate optimum evaluation information. Note that what kind of intimacy value is given can be arbitrarily set and changed.

<Modification 3>
In the present embodiment, the depth of the human relationship between the users is quantified based on the frequency of each user visiting the community and the frequency of messages exchanged in the community (that is, an intimate value is generated). Any of the following methods (or combinations) may be employed.

(1) When using Twitter (registered trademark): Determining the depth of human relationships taking into account the follow-up relationship between them, the similarity of the people following them, the frequency of direct messages, the frequency of use of specific keywords, etc. .

(2) When using social networking services (SNS) Quantify the depth of human relationships taking into account the type of community to which they belong, the presence or absence of friendships, the frequency of messages and the similarity of friendships, etc. .

(3) When using the email service: Determining the depth of human relationships in consideration of the frequency of email and the frequency of use of specific keywords.

(4) Others When using the social address book, the depth of human relations is numerically calculated taking into account the presence or absence of each other's phone book registration, the data items registered in the phone book, and the similarity of each other's friend relationships. Turn into.
Also, when using a social photo service, the depth of human relationships is quantified in consideration of the sharing frequency of photos and the similarity of registered genres.

  As described above, the depth of the human relationship may be quantified using various parameters for each community.

<Modification 4>
In this embodiment, when quantifying the relationship between a product (that is, a service) and a community, no particular reference is made on what criteria to set, but for example, user duplication rate, target customer group, user As a result of the questionnaire, the frequency of keywords used in the community may be used for quantification. Of course, the service provider may arbitrarily quantify the relationship between the product and the community.

<Modification 5>
In this embodiment, the case of evaluating a product (that is, a service) has been described. However, for example, when determining a recommended product, a recommended shop, or a recommended community, a focused product, a focused shop, etc. (in other words, recommended information) ) Is also applicable. In addition, when the recommended product is presented to the user, when the user selects the product, etc., the recommended degree (for example, ☆ 3) may be presented, but when the user selects the product genre, etc. The recommended products may be presented sequentially from the products belonging to the genre. Further, the recommended products may be sequentially presented according to the user's profile and behavior history, or the recommended products may be presented including similar products.

<Modification 6>
Further, since the number of products (that is, services) varies depending on the genre, a recommended genre may be presented instead of (or in addition to) the product. For example, (1) a genre that is closely related to the user (hereinafter referred to as a related genre), (2) a genre of interest, (3) a genre that has many evaluations (hereinafter referred to as an evaluation genre), and the like may be recommended. .

  For example, when recommending the related genre of (1), the recommended genre may be determined by collecting (clustering) users who are close to users in the community and analyzing the keywords in the cluster. Further, when recommending the genre of interest in (2), it is possible to identify a hot topic in the cluster by performing communication analysis and determine a genre most related to the hot topic as a recommended genre. Furthermore, when recommending the evaluation genre of (3), it is possible to extract only information highly relevant to the cluster by analyzing the community trend, and determine the evaluation genre based on the extracted information. Of course, how the recommended genre is determined is arbitrary, and the recommended genre may be determined by other methods.

  Note that the steps of the processes shown in the present embodiment and each modification can be executed in any order or in parallel within a range in which there is no contradiction in the processing contents. Further, in this specification and the like, the term “means” does not simply mean a physical means, but also includes a case where the functions of the means are realized by software. Furthermore, the function of one means may be realized by two or more physical means, or the functions of two or more means may be realized by one physical means. In addition, the software development support program according to the present invention is downloaded through various recording media such as an optical disk such as a CD-ROM and a DVD-ROM, a magnetic disk, and a semiconductor memory, or via a communication network. Can be installed or loaded on a computer.

DESCRIPTION OF SYMBOLS 100 ... Information provision system, 200 ... Community server, 300 ... Personal management server, 400 ... Evaluation information provision server, 410 ... Evaluation request reception part, 420 ... Individual evaluation information acquisition part, 430 ... Community related setting part, 440 ... Between users Intimacy information acquisition unit, 450 ... optimum evaluation information generation unit, DB1, DB2, DB3 ... database.

Claims (8)

In response to a request from a user, an information providing server that provides evaluation information of a service provided by a store under management,
Receiving means for receiving an acquisition request for evaluation information of the service from the communication terminal of the user;
About the service, past evaluation information acquisition means for acquiring past evaluation information representing contents evaluated in the past by other users;
Intimacy information acquisition means for generating intimacy information between users representing the depth of a human relationship between the user and the other user;
When the other user belongs to a net community, community related information acquisition means for generating community related information representing the relationship between the service or the store and the net community;
New evaluation information generating means for generating new evaluation information of the service based on the past evaluation information, the intimate information between users, and the community related information;
An information providing server comprising: a transmission unit that transmits the new evaluation information to the communication terminal.   When the user and the other user belong to the same net community, the closeness information acquisition unit generates the closeness information between users by using at least one of a message exchange frequency and a specific keyword use frequency. The information providing server according to claim 1.   The information provision according to claim 2, wherein the intimate information acquisition unit generates the intimate information between users for each of the net communities when there are a plurality of the same net communities to which the user and the other users belong. server.   The information providing server according to claim 1, wherein the community-related information acquisition unit generates the user community-related information using a keyword included in a message exchanged in the net community.   The information providing server according to any one of claims 1 to 4, wherein the information providing server provides recommended information representing recommended contents of the service instead of the evaluation information. In response to a request from a user, an information providing server that provides evaluation information of a service provided by a store under management,
Receiving means for receiving an acquisition request for evaluation information of the service from the communication terminal of the user;
About the service, past evaluation information acquisition means for acquiring past evaluation information representing contents evaluated in the past by other users;
Intimacy information acquisition means for generating intimacy information between users representing the depth of a human relationship between the user and the other user;
If the user belongs to a net community, community related information acquisition means for generating community related information representing the distance between the user and the net community;
New evaluation information generating means for generating new evaluation information of the service based on the past evaluation information, the intimate information between users, and the community related information;
An information providing server comprising: a transmission unit that transmits the new evaluation information to the communication terminal. The community related information acquisition means includes:
If the user and the other user belong to a net community,
The community-related information including a shop-related value indicating a relationship between the service or the store and the net community, and a community interest level representing a distance between the user and the net community is generated. Information service server. An information providing system in which a communication terminal of a user and an information providing server that provides evaluation information of a service provided by a store under management are connected via a communication network,
The information providing server includes:
Receiving means for receiving an acquisition request for evaluation information of the service from the communication terminal of the user;
Storage means for storing past evaluation information representing the contents evaluated by other users in the past for the service;
Intimacy information acquisition means for generating intimacy information between users representing the depth of a human relationship between the user and the other user;
When the other user belongs to a net community, community related information acquisition means for generating community related information representing the relationship between the service or the store and the net community;
New evaluation information generating means for generating new evaluation information of the service based on the past evaluation information, the intimate information between users, and the community related information;
Transmission means for transmitting the new evaluation information to the communication terminal,
The communication terminal is
Terminal transmission means for transmitting an acquisition request for evaluation information of the service;
Terminal receiving means for receiving the new evaluation information;
An information providing system comprising: notifying means for notifying the received new evaluation information.

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