JP2008158792A - Network server and control method - Google Patents

Abstract

In a SNS system, a network server and a control method capable of urging more non-participating members who have a common interest to participate in the community with a community having a specific interest are provided. .
A network server according to the present invention includes an interest information storage unit that stores information in which interest information for identifying an interest of a member and category information to which the interest information belongs is stored, and a participating member of a predetermined community. Participating member interest extracting unit for extracting first interest information based on the input information, Non-participating member interest extracting unit for extracting second interest information based on information input by the non-participating member, First interest A degree-of-association calculating unit that calculates the degree of association between the category information associated with the information and the category information associated with the second interest information; and a determination unit that determines whether the degree of association is greater than or equal to a threshold value. And a notification unit for notifying the participating members of non-participating members determined to be equal to or greater than the threshold.
[Selection] Figure 1

Description

  The present invention relates to a network server and a control method provided in a system for providing a service for executing communication between members to a terminal device used by each of a plurality of members via a network.

  Conventionally, many social networking service (hereinafter referred to as SNS) systems in which a plurality of registered members communicate with each other using a terminal device via a network such as the Internet have been proposed (see, for example, Patent Document 1).

  In the above-described SNS system, it is possible to communicate with other members by inputting / browsing information such as a diary input by a member or a review on a specific product.

  In addition, the SNS system provides a function for creating a group called a community so that members who have a common interest in a specific topic actively communicate about the topic.

  In addition, the SNS system has a function of executing communication for community members. For example, there are a bulletin board function for participating members of the community, a function of sending a message to other participating members, and a function of allowing the participating members to input and view reviews on specific products (interests).

In general, in the SNS system, when a new participating member is added to the community, the participating member notifies the non-participating member to invite to the community, and the non-participating member registers in the community in response to the notification. Then, it is added as a new participating member.
JP 2006-23876 A

  By the way, a member who desires to communicate with other members who are interested in a specific topic in the community needs to find an existing community that handles the topic that matches his / her interest.

  In the SNS system, as a method for non-participating members who have not joined the community to search for a new community, there is a function of searching for a description of the community using a keyword. However, even if a non-participating member searches for a community using the keyword search function, if the search is not performed with an appropriate keyword, many non-participating members themselves will not find the community. Not always.

  On the other hand, if a participating member participating in the community wants to increase the number of members participating in the community, if the non-participating member who has had communication in the past is invited to the community, the target non-participating member Since it is possible to determine whether or not is interested in the topic of the community, the probability that invited non-participating members will participate in the community is relatively high. However, it is difficult to identify non-participating members who are interested in the community from a large number of unspecified non-participating members who have not communicated. In addition, even if a non-participating member who has never communicated is invited to a community, the probability that the non-participating member will participate in the community is very low. Hard to increase.

  As described above, in the above-described SNS system, non-participating members who do not participate in the community search for a community having a common interest, or the participating members search for a non-participating member who is interested in the participating community. It was difficult. As a result, there is a problem that the number of participating members is difficult to increase in the community, and active communication is not performed by many participating members in the community.

  Therefore, the present invention has been made in view of the above-described problems, and in the SNS system, more non-participating members who have a common interest in a community having a specific interest can contact the community. It is an object of the present invention to provide a network server and a control method that can encourage participation.

  In order to achieve the above object, a first feature of the present invention is that a service for executing communication between the members is provided to a terminal device (terminal device 10) used by each of a plurality of members via a network. The network server provided in the system to be provided (SNS system 1) (SNS server 1000), the interest information (product ID) which is a keyword for specifying the interest (product) of the member, and the category to which the interest information belongs Interest information storage unit (product information storage unit 110) that stores information associated with category information indicating information input by a participating member who is a member participating in a predetermined community using the terminal device Based on the first interest information (the participating member's interests and Based on information input by the non-participating member who is not a member of the predetermined community using the terminal device. A non-participating member interest extracting unit (member interest extracting unit 190) for extracting second interest information (a product ID that is a target of interest of the non-participating member) that is the keyword for specifying the interest of the non-participating member; An association degree calculation unit (association degree calculation) that calculates an association degree between the category information associated with the first interest information and the category information associated with the second interest information with reference to an information storage unit 200), a determination unit (relationship determination unit 210) for determining whether or not the relevance level is equal to or higher than a threshold value, and a determination that the relevance level is equal to or higher than the threshold value. It is an gist further comprising a notification unit and (member recommendation unit 220) for notifying the member identification information for identifying the non-participating member in the terminal device the participating members to use.

  According to such a feature, the network server includes not only the case where the first interest information specifying the interest of the participating member matches the second interest information specifying the interest of the non-participating member, but also the first interest information belongs. The degree of association between the category information and the category information to which the second interest information belongs is calculated as a degree of common interest, and non-participating members whose calculated degree of association is equal to or greater than a threshold value are notified to the participating members participating in the community. . Thus, a participating member of a predetermined community can identify and invite more non-participating members who share a common interest category with the participating members of the community.

  Thus, according to this feature, in the SNS system, non-participating members who have a more common interest are encouraged to participate in the community with respect to a community that is a group of members having a specific common interest. It becomes possible. Thereby, in a community, a participating member increases and it can communicate more actively by many participating members.

  In addition, if the threshold is set high, the participating members can invite only those participating members who have more common interests to the community. If the threshold is set low, the degree of common interest is small. The degree of common interest with non-participating members to be invited can be changed according to the threshold, such as more non-participating members having a common interest can be invited to the community.

  A second feature of the present invention relates to the first feature, wherein the category information includes first category information to which the interest information belongs and second category information to which the first category information belongs, and the degree of association The calculation unit includes a case where the first category information to which the first interest information belongs and the first category information to which the second interest information belongs, and the second category information to which the first interest information belongs. The relevance level is calculated according to the case where the second category information to which the second interest information belongs matches, and the relevance level is calculated when only the second category matches. The gist is that the degree of relevance calculated when only the first category matches is larger.

  According to this feature, when the small category information matches between the first interest information and the second interest information, the degree of association is calculated higher than when the large category information matches. It is possible to calculate a more accurate degree of association according to the degree of interest with the non-participating members.

  According to a third aspect of the present invention, there is provided a control method in a network server provided in a system for providing a service for executing communication between members to a terminal device used by each of a plurality of members via a network. A storage step of storing information in which interest information, which is a keyword for specifying the interest of the member, and category information indicating a category to which the interest information belongs is stored; and the participation in a predetermined community Participating member interest extracting step of extracting first interest information that is the keyword specifying the interest of the participating member based on information input by the participating member who is a member using the terminal device; Information input by the non-participating member who is not participating using the terminal device. The non-participating member interest extracting step for extracting the second interest information, which is the keyword for specifying the interest of the non-participating member, and the information stored in the storing step, and A calculating step for calculating a degree of association between the associated category information and the category information associated with the second interest information; a determination step for determining whether the degree of association is equal to or greater than a threshold; And a notification step of notifying the terminal device used by the participating member of member identification information for identifying the non-participating member determined to have the relevance degree equal to or higher than the threshold. .

  According to the present invention, in the SNS system, for a community that is a group of members having a specific interest, a network that can encourage more non-participating members who have a common interest to participate in the community. A server and a control method can be provided.

Next, embodiments of the present invention will be described with reference to the drawings. In the following description of the drawings, the same or similar parts are denoted by the same or similar reference numerals. However, it should be noted that the drawings are schematic.

[First Embodiment]
(Configuration of SNS system)
The configuration of the social network service (hereinafter, SNS) system 1 according to the first embodiment of the present invention will be described. FIG. 1 is a schematic diagram illustrating a configuration of an SNS system 1 according to the present embodiment. As shown in FIG. 1, the SNS system 1 according to the present embodiment includes a plurality of terminal devices 10_1 to 10_n, a network 2000, and an SNS server (network server) 1000. The SNS system 1 according to the present embodiment provides a service for executing communication between members to the terminal devices 10_1 to 10_n used by each of a plurality of members via the network 2000. In the present embodiment, the terminal devices 10_1 to 10_n will be described as the terminal device 10 as appropriate.

  The terminal device 10 is connected to the SNS server 1000 via the network 2000. In addition, the terminal device 10 can be registered as a member to the SNS server 1000, input to a bulletin board provided by the SNS server 1000, browsing a bulletin board input by another member, The input of the diary provided, the browsing of the diary input by other members, the input of reviews for a specific product, the browsing of reviews input by other members, and the like are performed. In the present embodiment, the terminal device 10 is assumed to be a mobile device such as a mobile phone, a PDA (Personal Digital Assistant), or a notebook computer.

  The network 2000 is assumed to be the Internet or an intranet configured by a wireless network, a wired network, or the like.

  The SNS server 1000 has a function of executing communication between members with respect to each member, with the user registered using the terminal device 10 as a member. The SNS server 1000 has a function of creating a community as a group in which members having common interests participate. Further, the SNS server 1000 includes a function for performing communication for participating members of the community, a function for transmitting and receiving messages between participating members, a function for allowing participating members to input and view reviews on specific products, and the like. In the present embodiment, members who are participating in a predetermined community are referred to as participating members, and members who are not participating in the predetermined community are appropriately described as non-participating members.

(Configuration of SNS server)
In the SNS system 1 described above, the configuration of the SNS server 1000 will be specifically described. As shown in FIG. 1, the SNS server 1000 includes a transmission / reception unit 50, a community information storage unit 100, a product information storage unit 110, a community service provision unit 120, a community review storage unit 140, and a member service provision. Unit 150, member review storage unit 170, community interest extraction unit 180, member interest extraction unit 190, relevance calculation unit 200, relevance determination unit 210, member recommendation unit 220, and community introduction unit 230. It has.

  The transmission / reception unit 50 functions as an interface with the network 2000 in the SNS server 1000. The transmission / reception unit 50 receives various information input by the member using the terminal device 10 via the network 2000 and transmits it to various functions in the SNS server 1000.

  As shown in FIG. 2, the community information storage unit 100 stores information in which a community ID for identifying a community and a member ID for identifying a registered participating member are associated with each other.

  The merchandise information storage unit 110 stores information in which interest information, which is a keyword for specifying the interest of a member, and category information indicating a category to which the interest information belongs are associated with each other. Specifically, as shown in FIG. 3, the product information storage unit 110 indicates a product ID (interest information) that identifies a product (interest), a product name that is the name of the product, and a category classification to which the product belongs. The category information is stored in association with each other. In the present embodiment, the product is an object of interest that the member is interested in. The category information includes small category information (first category information) indicating the category of the category to which the product identified by the product ID belongs, and large category information (second category information) indicating the category of the category to which the small category information belongs. ) And

  For example, in the product information storage unit 110, the product is “New song of singer XX”, the product ID is “21209”, the small category information is “rock”, and the large category information is “CD” (or “music”). For example, the category of the product specifying category is stored in advance in the order of product ID <small category information <large category information. In the present embodiment, the product information storage unit 110 constitutes an interest information storage unit.

  The community service providing unit 120 provides various functions for performing communication within the community to the terminal device 10 used by the participating members participating in the community. For example, the community-oriented service providing unit 120 has a function of creating a review (comment) for a product that matches the interests of the community and disclosing it to other participating members.

  Specifically, when a participating member inputs a review for a specific product using the terminal device 10, the community service providing unit 120 receives the review via the transmission / reception unit 50. At this time, the service providing unit 120 for the community refers to the community information storage unit 100 and extracts the community ID of the community in which the participating member who inputs the review participates. Further, the community service providing unit 120 refers to the product information storage unit 110 and extracts a product ID for identifying a product to be reviewed. Further, the service providing unit 120 for the community associates the text-format review contents, the product ID for identifying a specific product, the ID of the participating member who has input the review, and the community ID in which the review is registered. Store in the review storage unit 140. Note that the participating members of the community can browse reviews stored in the community bulletin board storage unit 310.

  As shown in FIG. 4, the community review storage unit 140 has a review ID for identifying a review, a community ID for identifying a community, a member ID, a product ID, and a participating member input using the terminal device 10. Information associated with the text review content is stored.

  The member service providing unit 150 provides various functions for performing communication with other members to the terminal device 10 used by the members registered in the SNS system regardless of the participating members and the non-participating members. For example, the member service providing unit 150 has a function of creating a review (comment) for a specific product that the member is interested in and disclosing it to other participating members.

  Specifically, when a member inputs a review for a specific product using the terminal device 10, the member service providing unit 150 receives the review via the transmission / reception unit 50. At this time, the member service providing unit 150 refers to the product information storage unit 110 and extracts a product ID for identifying a specific product. In addition, the member service providing unit 150 associates the review ID for identifying the review, the ID of the participating member who input the review, the extracted product ID, and the text-type review content, and stores them in the member review storage unit 170. Remember. Other members can view reviews stored in the community bulletin board storage unit 310.

  The member service providing unit 150 also accepts participation from the members in the community. Specifically, when the member desires to participate in a predetermined community, the member service providing unit 150 receives the participation registration from the terminal device 10 used by the member via the transmission / reception unit 50. Then, the member service providing unit 150 stores the community ID in the community information storage unit 100 in association with the community ID that identifies the community that the user wishes to participate in and the member ID of the participating member.

  As shown in FIG. 5, the member review storage unit 170 stores information in which a review ID, a member ID that identifies a member who inputs a review, a product ID that identifies a product, and a text-type review content are associated with each other. Remember.

  The community interest extraction unit 180 is a product that is a keyword that identifies a product that is an interest of the participating member based on information input by the participating member who is a member of the predetermined community using the terminal device 10. ID (first interest information) is extracted.

  Specifically, the community interest extraction unit 180 refers to the community review storage unit 140, and based on the reviews for the products input by the participating members of the predetermined community, the product ID for identifying the product and the member ID of the participating member And the community ID are extracted. Further, the community interest extraction unit 180 transmits the extracted product ID, the member IDs of the participating members, and the community ID to the relevance calculation unit 200. Hereinafter, the product ID and the member ID extracted by the community interest extraction unit 180 will be described as a community product ID and a participating member ID, respectively. In the present embodiment, the community interest extraction unit 180 constitutes a participating member interest extraction unit.

  The member interest extraction unit 190 is a keyword that identifies a product that is a target of interest of a non-participating member based on information input by a non-participating member who is not a member of a predetermined community using the terminal device 10. A product ID (second interest information) is extracted.

  Specifically, the member interest extraction unit 190 refers to the member review storage unit 170, and based on a review of the product input by the non-participating member using the terminal device 10, the product ID for identifying the product and the non-participation The member ID of the member is extracted. Further, the member interest extraction unit 190 transmits the extracted product ID and the member ID of the non-participating member to the relevance calculation unit 200. Hereinafter, the product ID and the member ID extracted by the member interest extraction unit 190 will be described as a member product ID and a non-participating member ID, respectively. In the present embodiment, the member interest extracting unit 190 constitutes a non-participating member interest extracting unit.

  The relevance calculating unit 200 receives the community ID, community product ID, and participating member ID from the community interest extracting unit 180, and receives the member product ID and non-participating member ID from the member interest extracting unit 190. The storage unit 110 is referred to, and the degree of association between the category information associated with the community product ID and the category information associated with the member product ID is calculated.

  Specifically, the degree-of-association calculation unit 200 refers to the product information storage unit 110, and when the small category information to which the community product ID belongs and the small category information to which the member product ID belongs match the community product ID. The degree of association is calculated according to the case where the large category information matches the large category information to which the member product ID belongs.

For example, when the small category information to which the community product ID belongs (for example, lock) and the small category information to which the member product ID belongs (for example, lock) match, Add 10 ″. Further, for example, when the large category information (for example, CD) to which the community product ID belongs and the large category information (for example, CD) to which the member product ID belongs match, the relevance calculation unit 200 sets the relevance value as the value of relevance. , “1” is added. As described above, in the relevance calculation unit 200, the relevance is calculated when the small category matches than the relevance calculated when the large category matches. It is calculated so that the value of becomes larger. When the community product ID matches the member product ID, the relevance calculation unit 200 adds “50” as the relevance value. In addition, when the relevance calculation process is completed, the relevance calculation unit 200 transmits the calculated relevance, community ID, and non-member ID to the relevance determination unit 210.

  The relevance determination unit 210 determines whether or not the relevance value calculated by the relevance calculation unit 200 is equal to or greater than a threshold value. In addition, when the relevance determination unit 210 determines that the relevance is equal to or greater than the threshold, the member recommendation unit 220 receives the participating member ID, the community ID, and the non-participating member ID notified from the relevance calculation unit 200. Notice. In the present embodiment, the degree of association determination unit 210 constitutes a determination unit.

  The member recommendation unit 220 notifies the terminal device 10 used by the participating member of member identification information for identifying the non-participating member determined by the relevance determination unit 210 to determine that the relevance value is equal to or greater than the threshold value.

  Specifically, when the member recommendation unit 220 is notified of the community ID and the non-participating member ID from the association degree determination unit 210, the terminal device 10 of the participating member of the community corresponding to the community ID is transmitted and received via the transmission / reception unit 50. The recommendation information including the non-participating member ID is transmitted. The member recommendation unit 220 transmits recommendation information to the terminal device 10 used by the participating member when the participating member of the community corresponding to the community ID executes the communication function for the community. It may be configured to present on the display unit of the terminal device 10 that there is a non-participating member. When the member recommendation unit 220 receives response information indicating that the community is introduced to the non-participating member corresponding to the non-participating member ID from the terminal device 10 used by the participating member who has transmitted the recommendation information, The introduction unit 230 is notified of the community ID and the non-participating member ID. In this embodiment, the member recommendation unit 220 constitutes a notification unit.

  The community introduction unit 230 transmits introduction information (introduction message) urging participation in the community from non-participating members who have not participated in the predetermined community from participating members of the predetermined community. In addition, when the community introduction unit 230 is notified of the community ID and the non-participating member ID from the member recommendation unit 220, the community introducing unit 230 transmits and receives the transmission / reception unit to the terminal device 10 owned by the non-participating member corresponding to the non-participating member ID. 50, the introduction information including the community ID is transmitted.

  Further, in the terminal device 10 that has received the introduction information, a message indicating the introduction of the community is displayed via the member service providing unit 150 by a predetermined operation of the non-participating member. Note that, for example, when a non-participating member accesses the member-oriented service providing unit 150, the messages may be displayed on the terminal device 10 owned by the member. Then, the non-participating member who owns the terminal device 10 that has received the introduction information can register the desire to participate in the community in the member service providing unit 150 by designating the displayed community ID.

(Operation of the SNS server according to the first embodiment)
Next, the operation of the SNS server 1000 configured as described above will be described. Specifically, the SNS server 1000 performs a control operation for executing selection / notification of a non-participating member based on a product review of a participating member of a community and a product review of a non-participating member, and a specific when calculating the degree of association The control operation will be described.

(Non-participating member selection / notification based on product review of participating members and product review of non-participating members)
First, with reference to FIG. 6, the control operation in which the SNS server 1000 executes selection / notification of non-participating members based on community product reviews and member product reviews will be described.

  In step S200, the product information storage unit 110 stores product information. Specifically, the merchandise information storage unit 110 associates merchandise ID, which is a keyword that identifies the member's interest, small category information indicating a category to which the merchandise ID belongs, and large category information to which the small category information belongs. Is stored in advance.

  In step S210, the community interest extracting unit 180 refers to the community review storage unit 140, stores the community product ID stored in association with the review input by the participating member of the predetermined community, and the participating member ID of the participating member. The community ID is extracted and transmitted to the relevance calculation unit 200.

  In step S220, the member interest extraction unit 190 refers to the member review storage unit 170 and identifies a predetermined non-participating member. Hereinafter, the selected non-participating member will be described as a non-participating member a.

  In step S230, the member interest extraction unit 190 refers to the member review storage unit 170, stores the member product ID stored in association with the review content input by the identified non-participating member a, and non-participation of the non-participating member a The member ID is extracted and transmitted to the relevance calculation unit 200.

  In step S240, the degree-of-relevance calculation unit 200 receives the community product ID and community ID transmitted from the community interest extraction unit 180, and the member product ID and non-participating member ID transmitted from the member interest extraction unit 190. Receive. In addition, the relevance calculation unit 200 refers to the product information storage unit 110 to extract the small category information and the large category information stored in association with the received community product ID, and receives the received member product ID. The small category information and the large category information stored in association with are extracted. Further, the relevance calculation unit 200 determines whether the extracted community product ID and the member product ID match, whether each small category information matches, whether each large category information matches. To calculate the degree of association. In addition, the relevance calculation unit 200 notifies the relevance determination unit 210 of the calculated relevance, community ID, and non-participating member ID.

  In step S250, the relevance level determination unit 210 determines whether or not the relevance level notified from the relevance level calculation unit 200 is greater than or equal to a threshold value stored in advance.

  In step S260, when the relevance determination unit 210 determines that the relevance is greater than or equal to the threshold value, the relevance determination unit 210 holds the community ID notified from the relevance calculation unit 200 and the non-participating member ID. The relevance determination unit 210 notifies the member interest extraction unit 190 that the determination of the member a has been completed.

  In step S <b> 270, when the member interest extraction unit 190 receives the notification from the association degree determination unit 210, the member interest extraction unit 190 calculates the association degree with a predetermined community for all non-participating member IDs stored in the member review storage unit 170. It is determined whether or not it is selected as the ID of a non-participating member. In addition, when all the non-participating member IDs are not selected, the member interest extracting unit 190 identifies other non-participating members and repeats the operations of steps S220 to S260 described above. Further, when the member interest extraction unit 190 selects all the non-participating member IDs and completes the calculation of the relevance level, the member interest extraction unit 190 responds to the relevance level determination unit 210 to that effect.

  In step S280, when the degree-of-association determination unit 210 receives a notification that the calculation of the degree of association of all the non-participating member IDs has been completed, the member recommendation unit 220 is notified. At this time, the relevance degree determination unit 210 may be configured to notify the relevance degree together.

  In addition, the member recommendation unit 220 transmits the recommendation information including the non-participating member ID to the terminal device 10 of the participating member of the community corresponding to the community ID notified from the association degree determination unit 210 via the transmission / reception unit 50. . The member recommendation unit 220 transmits recommendation information to the terminal device 10 used by the participating member when the participating member of the community corresponding to the community ID executes the communication function for the community. It may be configured to present on the display unit of the terminal device 10 that there is a non-participating member.

  Further, when the response information for the recommendation information is received from the terminal device 10 used by the participating member who has transmitted the recommendation information, the member recommendation unit 220 sends the community ID and the non-participating member ID to the community introduction unit 230. Notice. In addition, the community introduction unit 230 transmits introduction information including the notified community ID to the terminal device 10 corresponding to the non-participating member ID.

(Relationship calculation operation)
Next, the control operation performed by the SNS server 1000 to calculate the relevance in step S240 described above will be specifically described with reference to FIG.

  In step S2401, the member interest extraction unit 190 refers to the member review storage unit 170, and stores the member product stored in association with the non-participating member ID of the non-participating member as information indicating the interest (product) of the non-participating member. Extract the ID. At this time, the member interest extraction unit 190 may extract a plurality of member product IDs. Further, the member interest extraction unit 190 transmits the extracted member product ID to the relevance calculation unit 200.

  Further, the community interest extracting unit 180 refers to the community review storage unit 140, and stores community products that are stored in association with a community ID that identifies the predetermined community as information indicating an interest object (product) of the predetermined community. Extract the ID. At this time, the community interest extraction unit 180 may extract a plurality of community product IDs. Further, the community interest extraction unit 180 transmits the extracted community product ID to the relevance calculation unit 200.

  In step S2402, the relevance calculation unit 200 receives one or more member product IDs transmitted from the member interest extraction unit 190 and one or more community product IDs transmitted from the community interest extraction unit 180. To do. Further, the relevance calculation unit 200 selects a set of one member product ID and one community product ID.

  In step S2403, the relevance calculation unit 200 determines whether or not the selected member product matches the community product ID.

  In step S <b> 2404, when the relevance calculation unit 200 determines that they do not match, the product information storage unit 110 is referred to, and the small category information stored in association with the community product ID and the large category information are extracted. The small category information stored in association with the member product ID and the large category information are extracted.

  In step S <b> 2405, the relevance calculation unit 200 adds “50” as the relevance value when it is determined that the member product and the community product ID match. Then, the relevance calculation unit 200 performs the operation of step S2410.

  In step S2406, the relevance calculation unit 200 determines whether the large category information associated with the extracted community product ID matches the large category information associated with the member product ID. If the degree-of-association calculation unit 200 determines that they do not match, it performs the operation of step S2410.

  In step S <b> 2407, when the relevance calculation unit 200 determines that the large category information matches, “1” is added as the relevance value.

  In step S2408, the relevance calculation unit 200 determines whether or not the small category information associated with the extracted community product ID matches the small category information associated with the member product ID. If the degree-of-association calculation unit 200 determines that they do not match, it performs the operation of step S2410.

  In step S <b> 2409, the relevance calculation unit 200 adds “10” as the relevance value when the relevance calculation unit 200 determines that the small category information matches.

  In step S <b> 2410, the degree-of-relevance calculation unit 200 includes one or more member product IDs transmitted from the member interest extraction unit 190 and one or more community product IDs transmitted from the community interest extraction unit 180. so. It is determined whether or not all the combinations of the member product ID and one community product ID have been selected. If the relevance calculation unit 200 determines that all the sets have been selected, the relevance calculation unit 200 ends the calculation process and notifies the relevance determination unit 210 of the calculated relevance. In addition, when the relevance calculation unit 200 determines that all the sets have not been selected, the relevance calculation unit 200 repeatedly performs the operations of steps S2402 to S2409.

(Function and effect)
As described above, the SNS server matches the community product ID corresponding to the product review input by the participating member of the predetermined community and the member product ID corresponding to the product review input by the non-participating member. The degree of relevance is calculated according to the degree to which the small category information and large category information to which the community product ID belongs and the small category information to which the member product ID belongs and the large category information match. Non-participating members having a threshold equal to or greater than the threshold are notified to participating members who participate in the predetermined community. In other words, a member of a given community identifies more non-participating members who have not only interest in a specific product but also a category that is a superordinate concept of the specific product. Can be invited to

  As described above, according to the SNS server 1000 according to the present embodiment, a non-participating member who has a more common interest is assigned to a community that is a group of members having a specific common interest. Encourage participation. Thereby, in a community, a participating member increases and it can communicate more actively by many participating members.

  In addition, if the threshold is set high, the participating members can invite only those participating members who have more common interests to the community. If the threshold is set low, the degree of common interest is small. It is also possible to change the degree of common interest with non-participating members to be invited according to a threshold, such as inviting more non-participating members with common interests to the community.

  Further, according to the SNS server 1000 according to the present embodiment, the degree of relevance is higher when the small category information matches between the community product ID and the member product ID than when the large category information matches. Since the calculation is performed, it is possible to calculate a more accurate degree of association according to the degree of interest between the participating member and the non-participating member.

[Second Embodiment]
(Configuration of SNS server according to the second embodiment)
Next, the configuration of the SNS server 1000 according to the second embodiment of the present invention will be described by focusing on the differences from the first embodiment described above. The SNS server 1000 according to the present embodiment further includes a community bulletin board storage unit 310 and a member diary storage unit 320 as shown in FIG.

  As shown in FIG. 8, the community bulletin board storage unit 310 associates a write ID for identifying a review written on the bulletin board, a community ID, a bulletin board ID, a member ID, a date / time, and a review content. Remember.

  As shown in FIG. 9, the member diary storage unit 320 stores a diary ID for identifying diary writing, a member ID, a date / time, and diary contents in association with each other.

  The community-oriented service providing unit 120 according to the present embodiment creates a bulletin board for a specific interest, inputs a review to the bulletin board, and the like so that the participating members exchange information on common interests (topics). It has an electronic bulletin board function.

  Specifically, in the community service providing unit 120, a review (comment) input by a participating member participating in the community using the terminal device 10 is sent to the bulletin board related to the specific interest via the transmission / reception unit 50. And accept. When the community service providing unit 120 receives a review on the bulletin board, the writing ID, community ID, bulletin board ID, member ID of the member who wrote, date / time of writing, text format The review is associated and stored in the community bulletin board storage unit 310. Note that other participating members of the community can browse reviews stored in the community bulletin board storage unit 310.

  The member-oriented service providing unit 150 according to the present embodiment receives, via the transmission / reception unit 50, information such as events and events with daily interest that each member inputs in the text format using the terminal device 10. Further, when receiving the information, the member service providing unit 150 stores the information in the member diary storage unit in association with the input date / time and the input member ID of the member.

  Further, the community interest extraction unit 180 according to the present embodiment refers to the community bulletin board storage unit 310 and extracts the interests of the community participation members based on the review contents of the posted version input by the community participation members.

  Further, the member interest extraction unit 190 according to the present embodiment refers to the member diary storage unit 320 and extracts the interests of non-participating members based on the contents of the diary input by each member.

(Operation of the SNS server according to the second embodiment)
Next, the operation of the SNS server 1000 according to this embodiment will be described. Specifically, a control operation in which the SNS server 1000 performs selection / notification of a non-participating member based on a community bulletin board and a member diary will be described with reference to FIG. In the SNS server 1000 according to the present embodiment, interest extraction is performed based on the feature keyword extracted by the tf-idf method, and the degree of association is calculated. The member interest extraction unit 190 is configured to extract the interest of each member, and the community interest extraction unit 180 is configured to extract the interest of each community.

  In step S300, the community interest extracting unit 180 extracts the interest of the community participating member using the review in the bulletin board sent by the community participating member.

Specifically, the community interest extraction unit 180 refers to the community bulletin board storage unit 310 and calculates a value called tf-idf value of each word included in the review content of the bulletin board in the community. The tf-idf value w _i ^j of the word t _j in the community c _i is calculated using the following equation (1).

However, tf _i ^j is an appearance frequency in the posted version information registered in the community c _i of the word tj, and idf _j is a community information including the word j in the transmission information in all the communities registered in the community bulletin board storage unit 310. The reciprocal of the ratio is shown. A word having a high w _i ^j is used more frequently in the community c _i than a frequency used in a community other than c _i , that is, represents a characteristic word in a predetermined community.

  In step S310, the member interest extraction unit 190 refers to the member diary storage unit 320 and identifies a predetermined non-participating member. Hereinafter, the selected non-participating member will be described as a non-participating member a.

In step S320, the member interest extraction unit 190 extracts the member's interest based on the diary input by each member. Specifically, the member interest extraction unit 190 refers to the member diary storage unit 320, extracts the diary created by the target non-participating member a, and extracts the interest of the participating members of the community as follows: Calculate the tf-idf value obtained in. The tf-idf value x _k ^j of the word tj in the member m _k is expressed by the following formula (2).

Here, tf _k ^j is the appearance frequency of the word tj in the member m _k creation diary, and idf _j is the reciprocal of the proportion of users who include the word j in the registration diary among all the users registered in the member diary storage unit 320. Is shown.

Further, in order to calculate the tf _i ^j, for all diary created members m _i, it is necessary to calculate the frequency of occurrence of all words included. Therefore, the words for which tf _i ^j is calculated are limited to a predetermined number th word sets S from those having a high value of w _i ^j among the words registered in the community c _i . Thus, by calculating the number of appearances only for a specific word set, it is possible to reduce the amount of calculation and storage capacity required for frequency calculation.

In step S330, the degree-of-association calculating unit 200 obtains a word set S having a high word among the words representing community interest calculated by the community interest extracting unit and each tf-idf value w _i ^j . In addition, a word set representing the interest of each member and the respective tf-idf values x _k ^j calculated by the member interest extraction unit are obtained. Moreover, relevance gamma _i ^k between communities c _i and member m _k is calculated using the following equation (3).

Here, w _i and w _k are a vector whose elements are tf-idf values of words characteristic of the bulletin board information registered in the community c _i and tf of words characteristic of the diary registered by the member m _k , respectively. -idf Represents a vector whose value is an element. Equation (3) described above is a value representing the degree to which the word characteristically used in the community ci is also characteristically used in the diary of the member m _k . Calculating the value as a degree of association between communities ci and member m _k.

  Hereinafter, the operations in steps S340 to S370 are the same as the operations in steps S250 to S280 according to the first embodiment, and thus the description thereof is omitted.

(Function and effect)
According to the SNS server 1000 according to the present embodiment, as an interest in a predetermined community, a word characteristically used in a review of a community bulletin board input by a participating member of the community is extracted. As the interests of the participating members, words characteristically used in the diary input by each non-participating member are extracted. Also, the SNS server 1000 calculates the degree of association based on the degree of common between the word extracted from the diary and the word extracted from the bulletin board, and assigns non-participating members whose degree of association is equal to or greater than a threshold to a predetermined community. Identified as an object to be invited.

  Therefore, in the SNS server 1000 according to the present embodiment, the interest in the community and the interest of the non-participating member are specified from the information used in the normal communication without being conscious of the participating member and the non-participating member. It is possible to encourage non-participating members who have a specific interest to participate in a community that matches more interest.

[Other embodiments]
Although the present invention has been described according to the above-described embodiments, it should not be understood that the descriptions and drawings constituting a part of this disclosure limit the present invention. From this disclosure, various alternative embodiments, examples and operational techniques will be apparent to those skilled in the art.

  For example, in the above-described embodiment, the product information storage unit 110, the community interest extraction unit 180, the member interest extraction unit 190, the relevance calculation unit 200, the relevance determination unit 210, and the member recommendation unit 220 The function may be provided in another network server connected to the SNS server 100.

  In the above-described first embodiment, the product has been described as an example of the interest of the community and the interest of the non-participating member. However, the interest is not limited thereto. For example, it is possible to be interested in people, current events in society, and historical events.

  As described above, the present invention naturally includes various embodiments not described herein. Therefore, the technical scope of the present invention is defined only by the invention specifying matters according to the scope of claims reasonable from the above description.

It is a figure which shows the whole schematic structure of the SNS system which concerns on 1st Embodiment. It is a figure which shows the SNS server which concerns on 1st Embodiment. It is a figure which shows the information memorize | stored in the merchandise information storage part which concerns on 1st Embodiment. It is a figure which shows the information memorize | stored in the community review storage part which concerns on 1st Embodiment. It is a figure which shows the information memorize | stored in the member review storage part which concerns on 1st Embodiment. It is a flowchart which shows operation | movement of the SNS server which concerns on 1st Embodiment. It is a flowchart which shows the operation | movement at the time of calculating an association degree in the SNS server which concerns on 1st Embodiment. It is a figure which shows the information memorize | stored in the community bulletin board storage part which concerns on 2nd Embodiment. It is a figure which shows the information memorize | stored in the member diary storage part which concerns on 2nd Embodiment. It is a flowchart which shows operation | movement of the SNS server which concerns on 2nd Embodiment.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 ... SNS system, 1000 ... SNS server, 2000 ... Network, 10 ... Terminal device, 50 ... Transmission / reception part, 100 ... Community information storage part, 100 ... SNS server, 110 ... Merchandise information storage part, 120 ... Service provision part, 140 ... community review storage section, 150 ... service providing section, 170 ... member review storage section, 180 ... community interest extraction section, 190 ... member interest extraction section, 200 ... association degree calculation section, 210 ... association degree determination section, 220 ... member Recommendation unit 230 ... Community introduction unit 310 ... Community bulletin board storage unit 320 ... Member diary storage unit S200 to S280 ... Step, S2401 to S2410 ... Step, S300 to S370 ... Step

Claims (3)

A network server provided in a system for providing a service for executing communication between members to a terminal device used by each of a plurality of members via a network,
An interest information storage unit that stores information in which interest information that is a keyword for specifying the interest of the member and category information indicating a category to which the interest information belongs are associated;
Participating member interest that extracts first interest information that is the keyword that identifies the interest of the participating member based on information input by the participating member who is participating in a predetermined community using the terminal device An extractor;
Based on information inputted by the non-participating member who is not a member of the predetermined community using the terminal device, second interest information which is the keyword for specifying the interest of the non-participating member is extracted. A non-participating member interest extractor;
A relevance calculating unit that refers to the interest information storage unit and calculates a relevance between the category information associated with the first interest information and the category information associated with the second interest information;
A determination unit that determines whether or not the relevance is greater than or equal to a threshold;
A network server, comprising: a notification unit that notifies the terminal device used by the participating member of member identification information that identifies the non-participating member determined to have the relevance degree equal to or greater than the threshold. The category information includes first category information to which the interest information belongs, and second category information to which the first category information belongs,
The degree-of-association calculation unit includes a case where the first category information to which the first interest information belongs and the first category information to which the second interest information belongs, and the second category to which the first interest information belongs. According to the case where the category information and the second category information to which the second interest information belongs, the relevance is calculated,
2. The relevance degree calculated when only the first category matches is higher than the relevance degree calculated when only the second category matches. The network server described in 1. A control method in a network server provided in a system for providing a service for executing communication between members to a terminal device used by each of a plurality of members via a network,
A storage step of storing information in which interest information, which is a keyword specifying the interest of the member, is associated with category information indicating a category to which the interest information belongs;
Participating member interest that extracts first interest information that is the keyword that identifies the interest of the participating member based on information input by the participating member who is participating in a predetermined community using the terminal device An extraction step;
Based on information inputted by the non-participating member who is not a member of the predetermined community using the terminal device, second interest information which is the keyword for specifying the interest of the non-participating member is extracted. Non-participating member interest extraction step;
A calculation step of referring to the information stored in the storage step and calculating a degree of association between the category information associated with the first interest information and the category information associated with the second interest information; ,
A determination step of determining whether or not the degree of association is greater than or equal to a threshold;
A notification step of notifying the terminal device used by the participating member of member identification information for identifying the non-participating member for which the degree of association is determined to be greater than or equal to the threshold value.

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