JP2007200099A - Item selection support device, method and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To improve convenience by allowing active item selection of a user while presenting a recommendatory item fit for the user. <P>SOLUTION: This item selection support device generates an item selection work page for an individual target member. A similar representative recommender similar to the target user is extracted from a plurality of representative recommenders, and the recommendatory item of the similar representative recommender is displayed in a similar representative recommender area of the item selection work page. A similar member similar to the target member is extracted from the plurality of members, and a selection item of the similar member is displayed in a similar member area of the item selection work page. The similar representative recommender and the similar member are found from similarity of the selection item and the recommendatory item. The item is selected from the similar member area and the similar representative recommender area, and data on the selected item are registered. The item is a commodity, for example, and the similar representative recommender is a marker, for example. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to an item selection support apparatus that presents a plurality of recommended items via a network, receives input of a selected item from the plurality of recommended items, and registers selected item data for specifying the selected item. An item is typically a product.

  Conventionally, various computer systems that present recommended items such as products to users via a network such as the Internet have been proposed. Such a computer system is referred to as an item selection support device in this specification, and is referred to as a product selection support device when the item is a product.

  The conventional typical system includes a database that stores user preference data, searches for a product that matches the user's preference with reference to the database, and transmits information on the searched product to the user terminal via the Internet. (For example, Patent Document 1).

  Further, the conventional system seeks recommended products by searching for products similar to products purchased in the past based on the purchase history of the user.

Furthermore, a system that focuses on the similarity between a plurality of users has also been proposed. This type of system obtains a similar user whose purchase history is similar to the target user from purchase history data of a plurality of users. Then, the system determines a product purchased in the past by a similar user (a product not purchased by the target user) as a recommended product (for example, Patent Document 2).
JP 2004-178317 A (page 4-13, FIG. 1) JP 2002-74142 A (page 2-3, FIGS. 1 and 2)

  However, although the conventional technology presents recommended products suitable for the user, it takes the form of introducing the recommended products unilaterally. The user must passively select a purchased product from a recommended product group that is determined in advance as being suitable for the system.

  The present inventor studied improvement of the prior art, and considered that a user can freely and actively select a product suitable for him. If such merchandise selection is possible, it is considered that the enjoyment of the user's merchandise selection can be improved, the satisfaction for the user can be increased as a result, and the convenience for the user can be improved.

  In the above description, the technical background of the present invention has been described by focusing on a product as an example of an item. However, similar background conditions apply to other types of items. Other items are information, for example.

  The present invention has been made under the above-mentioned background, and its object is to provide an item selection support capable of improving the convenience by enabling the user to actively select an item while presenting a recommended item suitable for the user. To provide an apparatus.

  The item selection support device of the present invention presents a plurality of recommended items via a network, receives input of a selected item selected from the plurality of recommended items, and selects selected item data for specifying the selected item. sign up. The item selection support device is a user database that stores data of a plurality of users, and stores at least a user database that stores the selection item data of each user and data of a plurality of representative recommenders registered in advance. A representative recommender database that stores at least a representative recommender database that stores recommended item data that identifies items recommended by each representative recommender, and the recommendation for each user registered in the user database. Item selection work page generation means for generating an item selection work page used for item information provision and selection work, and the selection stored in the user database as a process for the target user of each item selection work page Item data and representative recommender database Based on the stored recommended item data, similar representative recommender extracting means for extracting similar representative recommenders having the recommended item data similar to the selected item data of the target user, and the similar representative recommender Item display means for displaying the similar representative recommender recommended item specified by the recommended item data in the similar representative recommender area set on the item selection work page, and the item selection work page to the target user via the network Item selection work page providing means to be provided; selection accepting means for accepting input of item selection from the similar representative recommender recommended item displayed on the item selection work page; and the similar representative accepted by the selection accepting means A person recommended item as the selected item The serial selection item data in association with the target user and a selection item registration means for registering said user database.

  According to the above configuration, the present invention displays a recommended item by a similar representative recommender similar to the target user in the similar representative recommender area set in the item selection work page. As described above, in the present invention, the system side performs selection of similar representative recommenders based on the degree of similarity with the target user, but item selection from a plurality of recommended items of similar representative recommenders is left to the target user. . Therefore, the range of recommendation processing by the system is limited to an appropriate range such as introduction of similar representative recommenders and their recommended items based on the degree of similarity with the target user. Can be done automatically.

  The item selection support device of the present invention extracts similar users having the selection item data similar to the selection item data of the target user based on the selection item data of the plurality of users stored in the user database. Similar item extraction means is provided, and the item display means further displays the selected item specified by the selected item data of the similar user as a similar user recommended item in the similar user area set on the item selection work page. The selection receiving unit further receives an item selection input from the similar user recommended item, and the selected item registration unit further uses the similar user recommended item received by the selection receiving unit as the selected item. The selected item to identify The chromatography data may be registered in the user database in association with the target user.

  According to the above-described configuration, in addition to the recommended item by the similar representative recommender, the item selected by the similar user is further displayed as the similar user recommended item in the similar user area set on the selection work page. Here, the system side also performs selection of similar users based on the degree of similarity, but item selection from a plurality of recommended items of similar users is left to the target user. Therefore, the range of recommendation processing by the system is limited to an appropriate range such as introduction of similar users and their recommended items based on the similarity between users, so that the target user can actively select items. Can do.

  According to the present invention, although the network information providing system is used, the present invention makes it possible to select an item that is analog, intuitive, human touch, and a sense of viewing a magazine. For example, a typical fashion magazine includes a celebrity fashion page and a general fashion check page. The reader looks at the celebrity's page or the public's page while referring to these two types of information and thinks about clothes to buy next. The celebrity mentioned above corresponds to the representative recommender of the present invention, and the general person corresponds to other users of the present invention. The target user looks at the items selected by the representative recommender and the items selected by other users, and can select items that suit him / her with a magazine-like feeling by referring to multiple types of multifaceted and abundant information. In addition, the target user can be presented with a representative recommender similar to him and the items selected by the user. This means that an effect equivalent to providing a target user with a magazine suitable for the target user can be obtained rather than a general magazine for everyone. Therefore, the possibility that the target user finds an item that suits him / her can be increased, and convenience can be improved.

  The item selection support device of the present invention includes a tag image storage unit that stores a tag image that is an image of each item to be recommended, and the item display unit includes the similar representative recommender recommended item and the similar user recommendation. A tag image of an item is displayed in each of the similar representative recommender area and the similar user area of the item selection work page, and the selection accepting unit displays the item selection work from the similar recommended representative area and the similar user area. The dragging of the tag image to the target user area set on the page may be accepted as the item selection input.

  With this configuration, the item can be selected by dragging the tag image, and the user can intuitively select the item. The tag image is typically an image like a sticky note. The tag image may include a small image of the product, may further include the name of the product, and may further include simple information such as the price and content of the product. Further, when the tag image is clicked, a detailed product description may be displayed.

  The selected item registration means registers the arrangement of the tag image dragged to the target user area in the target user area in the user database, and the item display means has an arrangement registered in the user database. The tag image may be displayed in the target user area.

  With this configuration, tag images can be displayed in an arrangement according to the drag operation of the target user, and more intuitive item selection can be made possible. The placement of the tag image is typically the position and angle of the tag image.

  The user database may store an arrangement of the tag image corresponding to the selected item in the target user area for each user as the selected item data. The representative recommender database may store the arrangement of tag images corresponding to recommended items in the representative recommender area for each representative recommender as the recommended item data. The similar representative recommender extraction unit extracts representative recommenders whose tag image layout characteristics are similar to the target user based on the user database and the tag image layout data stored in the similar representative database. You can do it. The similar user extraction means may extract a user whose tag image layout characteristics are similar to the target user based on the tag image layout data stored in the user database.

  More specifically, an arrangement parameter representing the arrangement characteristics of the tag image may be obtained, and similar representative recommenders may be extracted based on the arrangement parameter. The arrangement parameter is a parameter that statistically represents the variation (dispersion degree) of the arrangement of the plurality of tag images. Typically, the arrangement data is the position and the angle of the tag image, and the arrangement parameters are a position parameter that represents the position variation and an angle parameter that represents the angle variation. The position parameter is, for example, a variance or standard deviation of the positions of a plurality of tag images. Similarly, the angle parameter is, for example, an angular variance or standard deviation of a plurality of tag images. The same applies to similar users, and similar users may be extracted based on the above-described arrangement parameters, more specifically, based on position parameters and angle parameters.

  With the configuration described above, representative recommenders whose tag image layout characteristics are similar to those of the target user are extracted. The arrangement of the tag image reflects the individuality of the target user and the representative recommender. Therefore, an appropriate similar representative recommender can be extracted by extracting representative recommenders having similar tag image arrangements. Similar users are similar to similar representative recommenders, and appropriate similar users can be extracted based on the tag image arrangement representing the user's personality.

  The arrangement of the tag image may be used for similar determination together with other elements. For example, the similarity of the arrangement of tag images may be used together with the similarity of the item itself (for example, the similarity of the selected product).

  The user database may record points according to the number of selected times, which is the number of times each user is selected as the similar user and the selected item of the user is selected as a similar user recommended item by another user. The item selection device may include promotion processing means, and the promotion processing means registers the user whose point has reached a predetermined promotion point in the representative recommender database as a user representative representative recommender, and the user representative The selected item data of the graduate may be registered in the representative recommender database as the recommended item data.

  With this configuration, when the number of selections by the user increases and a lot of points are accumulated, the user is promoted to a representative recommender. The more good items you select, the more points you have as a trend, and therefore the higher your chances of being promoted to a representative recommender. If promoted to a representative recommender, it can be chosen as a similar representative recommender and have a greater impact on the item selection of other users, which is an honor for the user. In this way, selection of a good item can be promoted, and further, transmission of good item information between users can be promoted, and convenience for the user can be improved.

  The present invention is not limited to the above-described item selection support device. Another aspect of the present invention is, for example, an item selection support method, which may support item selection by the operation of the item selection support apparatus described above. Another aspect of the present invention is an item selection support program, which may cause a computer to implement the item selection support method described above.

  As described above, the present invention can provide an item selection support device that enables active item selection by a user and improves convenience while presenting recommended items suitable for the user.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. In the present embodiment, the item to be selected is a product. In this embodiment, the item selection support device of the present invention is realized in the form of a product selection support device. The product selection support apparatus according to the present embodiment is suitably incorporated in a product purchase system using a network.

  1 and 2 show a product selection support apparatus according to an embodiment of the present invention. FIG. 1 shows a system comprising a product selection support apparatus 1 and related components.

  In FIG. 1, a product selection support apparatus 1 is a computer system having the function of a WWW server. The product selection support apparatus 1 is connected to a plurality of member terminal computers 5 via the Internet 3 which is one form of a network. The member terminal computer 5 is a personal computer and is operated by a member registered in the product selection support apparatus 1.

  The product selection support device 1 is accessed from each member terminal computer 5 and provides information to each member terminal computer 5. The product selection support device 1 provides product information to each member terminal computer 5 and accepts input of product selection to each member terminal computer 5. The network communication function of the product selection support apparatus 1 realizes a data input / output function, and also functions as a product selection input receiving unit.

  The product selection support apparatus 1 has a function of supporting processing for product purchase as well as a function of supporting product selection for purchase. In order to realize the purchase process, the product selection support device 1 is connected to the settlement server 7 so as to be communicable. The merchandise selection support apparatus 1 sends a settlement request to the settlement server 7, and the settlement server 7 performs credit and settlement processing through communication with the card company computer, and returns the settlement result to the merchandise selection support apparatus 1. The settlement server 7 may have an electronic money settlement function or an online banking settlement function.

  Next, FIG. 2 shows the configuration of the product selection support apparatus 1. As an overview, the product selection support apparatus 1 provides a WEB site, provides a clipboard page for each individual member, presents recommended products on the clipboard page, and accepts clipping input from the recommended products. The clipboard page corresponds to the item selection work page of the present invention, and clipping corresponds to product selection.

  First, the product selection support apparatus 1 includes a member database 11, a marker database 13, a tag image storage unit 15, and a product information database 17 as a configuration for storing various data, and also stores data in these storage means. A registration unit 19 for registration is provided. In addition, the product selection support device 1 includes a clipboard page generation unit 21, a matching marker extraction unit 23, a matching member extraction unit 25, a clipboard page provision unit 27, and a configuration for generating and providing a clipboard page for each member. A tag display unit 29 is provided. Further, the product selection support apparatus 1 includes a clip reception unit 31 and a clip product registration unit 33 as a configuration related to reception of product selection, and includes a purchase request reception unit 35 and a purchase processing unit 37 as configurations related to product purchase. Further, the product selection support apparatus 1 includes a point update unit 41 and a promotion processing unit 43 in order to realize a marker promotion function described later.

  FIG. 3 shows various data stored in the product selection support apparatus 1. FIG. 3A shows data stored in the member database 11. The member database 11 stores information on a plurality of members. The member database 11 corresponds to the user database of the present invention. The member corresponds to the user of the present invention and is registered in the member database 11 in advance.

  The member database 11 includes member ID, member attribute data (name, age, address, telephone number, e-mail address, occupation, photo image (face, etc.), other personal information), clip product data, purchase history data, and earned point data. Is remembered.

  Clip product data is data of a product that has already been clipped by a member. The clip product data corresponds to the selected item data of the present invention. The clip product data includes tag image layout data in addition to the product ID, and specifically includes tag image position and angle data as shown. The position and angle of the tag image are data on the arrangement of the tag image in the clip operation described later. The purchase history data is data of products purchased in the past by the member, and includes the product ID of the purchased product and the purchase date and time. The acquired point data is the value of the points acquired by each member, and the contents of the points will be described later.

  FIG. 3B shows data stored in the marker database 13, and the marker database 13 stores data of a plurality of markers. The marker database 13 corresponds to the representative recommender database of the present invention. The marker corresponds to a representative recommender of the present invention and is registered in the marker database 13 in advance. A marker is a person who recommends a product that is useful for many users. Markers are typically celebrities. The marker is, for example, a cooking researcher, a copywriter, a producer of a movie, an interior coordinator, a food coordinator, an athlete, or the like.

  The marker database 13 stores marker ID, marker attribute data (name, occupation, career, photographic image, etc.) and recommended product data. The recommended product data is data of a product recommended by the marker, and corresponds to the recommended item data of the present invention. The recommended product data includes tag image layout data in addition to the product ID. Specifically, the recommended product data includes tag image position and angle data. The position and angle of the tag image are data of the arrangement of the tag image when displaying the recommended product data, specified by the marker, input to the product selection support device 1, and registered in the marker database 13 by the registration unit 19. Yes.

  FIG. 3C shows data stored in the tag image storage unit 15. The tag image storage unit 15 stores the product ID, tag ID, and tag image of each product in association with each other. The tag image is a small image like a sticky note. The tag image includes a small image of the product, the name of the product, and the price of the product.

  FIG. 3D shows data stored in the product information database 17. The product information database 17 includes the product ID and detailed information of each product. As shown in FIG. 4, the detailed information includes a product specification, a comment, and a product list of the same category. The product specification includes a product image, a product name, and a price. Comments are markers and member comments.

  In FIG. 1, the registration unit 19 performs registration processing for various data described above. The registration unit 19 performs a new member and marker registration process, and also performs a tag image and product information registration process. New product data is also registered by the registration unit 19, and markers and member comments about the product are also registered by the registration unit 19. The registration unit 19 performs a registration process of data input via an input / output function such as a keyboard of the product selection support device 1. The registration unit 19 also performs registration processing for data input by communication via a network.

  Next, a clipboard page generation unit 21, a matching marker extraction unit 23, a matching member extraction unit 25, a clipboard page provision unit 27, and a tag display unit 29, which are configurations for generating and providing a clipboard page for product clip work, will be described. To do. These configurations generate and provide a clipboard page for each individual member registered in the member database 11.

  The matching marker extraction unit 23 extracts matching markers similar to the target member on the clipboard page from a plurality of markers registered in the marker database 13. In this extraction process, the matching marker extraction unit 23 obtains recommended product data similar to the clip product data of the target member based on the clip product data stored in the member database 11 and the recommended product data stored in the marker database 13. Find the marker you have.

  More specifically, the matching marker extraction unit 23 calculates the similarity between the target member's clip product data and the recommended product data of each marker. And the matching marker extraction part 23 selects the marker whose similarity is a predetermined value or more.

  FIG. 5 shows an example of extraction processing of the matching marker extraction unit 23. In the example of FIG. 5, member A is compared with four markers P, Q, R, and S. In the table of FIG. 5, a circle mark is attached to the product included in the clip product data of member A. In addition, a circle mark is also attached to a product included in the recommended product data of each marker. The number of matchings in FIG. 5 is the number of products for which both member A and each marker are marked. For example, in the member A and the marker P, the products b, c, and g are marked with overlapping, and the number of matching is 3. Similarly, the matching numbers of the markers Q, R, and S are 0, 2, and 1.

  Thus, the number of matching is the number of products overlapped by the member A's clip product data and the recommended product data of each marker. In this embodiment, the number of matching (the number of duplicate products) is calculated as the similarity. Then, the number of matching is compared with a predetermined similarity reference value, and if the number of matching is equal to or greater than the similarity reference value, it is determined that the marker is similar to the target member.

  In the example of FIG. 5, the similarity reference value is 2, for example. In this case, the markers P and R are similar to the member A and are extracted as matching markers. The markers Q and S are not similar to the member A and are not extracted as a matching marker for the member A.

  As is clear from the above description, the matching marker extracting unit 23 corresponds to the similar representative recommender extracting means of the present invention, and the matching marker corresponds to the similar representative recommender of the present invention.

  Next, the matching member extraction unit 25 will be described. The matching member extraction unit 25 performs matching processing similar to the above between members. The matching member extraction unit 25 extracts matching members similar to the target member of the clipboard page from a plurality of members registered in the member database 11. In this extraction process, the matching member extraction unit 25 obtains members having clip product data similar to the clip product data of the target member based on the clip product data of a plurality of members stored in the member database 11.

  More specifically, the matching member extraction unit 25 calculates the similarity between the target member's clip product data and the other member's clip product data. Then, the matching member extraction unit 25 selects members whose similarity is a predetermined value or more.

  FIG. 6 shows an example of the extraction process of the matching member extraction unit 25. In the example of FIG. 6, member A is compared with four other members B, C, D, and E. In the table of FIG. 6, a circle mark is attached to the product included in the clip product data of member A to member E.

  The number of matching in FIG. 6 is the same as the number of matching in FIG. That is, the number of matching is the number of products for which both the member A and each of the members B to D are marked. For example, members A and B are marked with overlapping products b, c, and g, and the number of matching is three. Similarly, the matching numbers of members C, D, and E are 0, 2, and 1.

  Thus, the number of matching is the number of products overlapped by the clip product data of member A and the clip product data of other members. In this embodiment, the number of matching (the number of duplicate products) is calculated as the similarity. Then, the matching number is compared with a predetermined similarity reference value, and if the matching number is equal to or greater than the similarity reference value, it is determined that the corresponding member is similar to the target member.

  In the example of FIG. 6, the similarity reference value is 2, for example. In this case, members B and D are similar to member A and are extracted as matching members. Members C and E are not similar to member A and are not extracted as matching members of member A.

  As is clear from the above description, the matching member extraction unit 25 corresponds to the similar user extraction unit of the present invention, and the matching member corresponds to the similar user of the present invention.

  In the above description, the matching marker and the matching user are selected based on the similarity according to the number of common products, and the similarity is specifically the number of matching. However, the similarity is not limited to the number of matching, and other types of similarity may be used for the extraction process. For example, the member database 11 and the marker database 13 store the arrangement (position and angle) of tag images as part of clip product data and recommended product data. For each member and each marker, an arrangement parameter indicating the feature of the arrangement of the tag image may be obtained, and the similarity between the arrangement parameters may be obtained. The placement parameter is a statistical parameter that represents the degree of dispersion (dispersion degree) of the placement of tag images, and is, for example, the dispersion of position and angle. A matching marker and a matching user may be extracted based on the similarity of such arrangement parameters. The arrangement parameter may be used in combination with the similarity of product selection such as the number of matching described above. The arrangement parameters will be described in detail later.

  Next, the clipboard page generation unit 21 will be described. The clipboard page generation unit 21 generates the clipboard page of the target member using the matching marker and matching member information extracted by the matching marker extraction unit 23 and the matching member extraction unit 25. The clipboard page is used for presentation of recommended products and clip work (selection work).

  The clipboard page generation unit 21 corresponds to the item selection work page generation means of the present invention, and the clipboard page corresponds to the item selection work page of the present invention. The clipboard page generation unit 21 (selection work page generation means) reads and reads the graphic format data of the clipboard page (item selection work page) stored in advance in the product selection support device 1 (item selection support device). The clipboard page image is generated according to the acquired data. This data is data defining various images to be displayed on the clipboard page, positions of function buttons, and the like.

  7 and 8 show the clipboard page generated by the clipboard page generation unit 21. FIG. The clipboard page generation unit 21 sets a marker area, a self area (target member area), and a friend area on the clipboard page. In the example shown in the figure, the clipboard page is divided into three, and three areas of almost the same size are set. The sizes of the three areas may be different, and the size of each area may be changeable. Each area may be closed. The marker area, the self area, and the friend area correspond to the similar representative recommender area, the target user area, and the similar user area of the present invention, respectively.

  In FIG. 7, the clipboard page generation unit 21 displays the product specified by the clip product data of the target member in its own area (target member area). The clipboard page generation unit 21 includes a tag display unit 29 for the above display processing. The tag display unit 29 reads the clip product data of the target member from the member database 11. The clip product data includes a product ID of a product that has already been clipped by the target member. The member database 11 also registers the position and angle of the tag image of the clipped product as part of the clip product data.

  The tag display unit 29 reads tag images of all product IDs included in the clip product data from the tag image storage unit 15. Then, the tag display unit 29 displays the tag image in its own area at the position and angle included in the clip product data. The tag display unit 29 is one form of the item display means of the present invention.

  In FIG. 7, the clipboard page generation unit 21 displays a list of matching markers in the marker area. The matching marker is a marker extracted by the matching marker extraction unit 23. A plurality of matching markers including the markers P and R extracted in FIG. 5 are displayed.

  In addition, the clipboard page generation unit 21 displays a list of matching members in the friend area. The matching member is a member extracted by the matching member extraction unit 25. A plurality of matching members including members B and D extracted by the process of FIG. 6 are displayed.

  The maximum number (upper limit) of matching markers displayed in the marker area may be set. In this case, if the number of extracted matching markers is larger than the set number, the set number of matching markers is selected in descending order of similarity. The same applies to matching members.

  The clipboard page generation unit 21 displays a point confirmation button and a purchase mark in its own area. The function of these buttons and marks will be described later.

  The clipboard page in FIG. 7 is sent to the member terminal computer 5 via the Internet by the clipboard page providing unit 27 and displayed on the screen of the member terminal computer 5. The member terminal computer 5 selects one matching marker and inputs the selection. One matching member is selected and the selection is input. These selection inputs are sent to the product selection support apparatus 1 via the network and accepted.

  Then, as shown in FIG. 8, the clipboard page generation unit 21 displays the product specified by the recommended product data of the selected matching marker in the marker area, and the clip product data of the selected matching member. Display the identified product in the friend area. These processes correspond to the display of the similar representative recommender recommended item and the similar user recommended item in the present invention, respectively.

  The product display in the marker area and the friend area is performed by the tag display unit 29 in the same manner as the product display in the self area. The tag display unit 29 reads the recommended product data of the selected matching marker from the marker database 13. The recommended product data includes a product ID of a product recommended by each marker. The marker database 13 also registers the position and angle of the tag image as part of the recommended product data.

  The tag display unit 29 reads tag images of all product IDs included in the recommended product data from the tag image storage unit 15. Then, the tag display unit 29 displays each tag image in the marker area at the position and angle of each tag included in the recommended product data.

  In addition, the tag display unit 29 reads the selected matching member's clip product data from the member database 11. The clip product data includes the product ID of the product that has already been clipped by the matching member, and also includes the position and angle of the tag image of each product that has been clipped.

  The tag display unit 29 reads tag images of all product IDs included in the clip product data from the tag image storage unit 15. The tag display unit 29 displays the tag image in the friend area at the position and angle of each tag included in the clip product data. The tag display unit 29 is one form of the item display means of the present invention.

  The clipboard page of FIG. 8 is sent to the member terminal computer 5 via the Internet by the clipboard page providing unit 27 corresponding to the item selection work page providing means of the present invention, and displayed on the screen. The member clicks on the tag when he wants more information about the tag's product. This click operation is input to the member terminal computer 5 and accepted by the clipboard page generation unit 21 of the product selection support device 1. The clipboard page generation unit 21 reads the detailed information of the product corresponding to the clicked tag from the product information database 17 and displays it on the clipboard page. The clipboard page with the detailed information is sent to the member terminal computer 5 by the clipboard page providing unit 27.

  Next, the clip accepting unit 31 and the clip product registering unit 33, which are configurations related to accepting product selection, will be described. The member looks at the clipboard page displayed on the display of the member terminal computer 5 and selects a product to be clipped from the products displayed in the marker area and the friend area. A product clip is input to the member terminal computer 5 and sent to the product selection support apparatus 1 via the Internet. The clip receiving unit 31 receives an input of a product clip sent via the Internet. The clip product registration unit 33 registers the product received by the clip reception unit 31 in the member database 11 in association with the target member. Clip product data specifying the received product is registered in the member database 11. The clip reception unit 31 and the clip product registration unit 33 correspond to the selection reception unit and the selection item registration unit of the present invention, respectively.

  FIG. 9 shows the product clip process on the clipboard page. In the present embodiment, the tag image is preferably used as follows. In the present embodiment, as a product clip operation, the member drags and moves a tag image of a desired product from the marker area and the friend area to his / her area. The tag image is copied to your area by dragging. The data of the drag operation becomes data for specifying the clipped product, and is transmitted from the member terminal computer 5 to the product selection support device 1.

  In the present embodiment, the position data of the dragged tag image in its own area is transmitted to the product selection support apparatus 1 and received by the clip receiving unit 31. The clip product registration unit 33 registers the position of the tag image in the member database 11 as a part of the clip product data of the corresponding product.

  Further, in the present embodiment, the clipboard page is configured so that the tag image can be rotated in its own area together with the drag operation. The angle data of the tag image after rotation is transmitted together with the position data and received by the clip receiving unit 31. The clip product registration unit 33 also registers the angle data of the tag image in the member database 11. Such tag position and angle data is used as tag arrangement data when the above clipboard page is generated.

  Next, the purchase request reception unit 35 and the purchase processing unit 37, which are components related to product purchase, will be described. As shown in FIG. 7, a purchase mark is displayed in the own area of the clipboard page. The purchase mark has a function of moving an item to a so-called cart. In an actual system, the purchase mark may be an image of the cart.

  When a member purchases a product clipped to his / her area, the member selects a tag image of the corresponding product, and then drags the tag image onto the purchase mark. When the tag image is dragged to the purchase mark, the tag image is placed in the purchase cart. Although not shown, when a cart page is displayed in response to the operation of member A, a tag image of a product to be purchased is displayed on the cart page. When the check button on the cart page is clicked, a purchase request is transmitted from the member terminal computer 5 to the product selection support apparatus 1 and accepted by the purchase request accepting unit 35. When the purchase request receiving unit 35 receives the purchase request, the purchase processing unit 37 performs a purchase process for the product corresponding to the tag image in the cart. The purchase processing unit 37 communicates with the settlement server 7 shown in FIG. 1 and performs a settlement process for the amount of the target product. In addition, the purchase processing unit 37 updates the purchase history of the corresponding member in the member database 11 and records the purchase history of the corresponding product. The purchase history includes a product ID, purchase date / time, purchase quantity, and purchase price. An area for purchase (or a cart area) is provided, and the tag image can be dragged from this area to the marker area as well as the clip area. This drag may also be included in the item selection or clipping of the present embodiment, and this drag operation may be registered in the member database 11 of the product selection support apparatus 1.

  Next, the point update part 41 and the promotion process part 43 which are the structures for implement | achieving a marker promotion function are demonstrated.

  The point update unit 41 updates and increases the member points stored in the member database 11 when each member is selected as a matching member and the clip product of the member is clipped by another member. Therefore, the points of each member increase as the clip product is dragged from other members.

  Points are updated as follows. Here, it is assumed that member B is selected as a matching member of member A, and the clip product of member B is displayed in the friend area of the clipboard page of member A.

  As described with reference to FIG. 9, the member A can clip the product by dragging the tag image of the clip product of the member B displayed in the friend area to his / her area. This drag operation is sent from the member terminal computer 5 to the product selection support apparatus 1 as data of member A's product clip operation. As described above, the clip receiving unit 31 receives a product clip, and the clip product registration unit 33 updates the data of the member A in the member database 11 and registers the clip product. At this time, the point update unit 41 performs a process for updating the earned points of the member B clipped product on the member database 11. For example, each time the clip product of member B is clipped once by another member, 1 point is given to member B.

  In this way, the member database 11 records the points of each member. The point is a value corresponding to the number of times each member has been selected as a matching member and the clip product of that member has been clipped by another user (in the above example, the number of times selected and the point Match). In other words, the number of times of selection is the number of times that the member has browsed his / her page and the product on his / her page has been clipped.

  Next, functions of the promotion processing unit 43 will be described. The promotion processing unit 43 refers to the acquisition points of each member recorded in the member database 11 and determines whether or not the acquisition points have reached a predetermined promotion point. When an acquisition point of a certain member reaches the promotion point, the promotion processing unit 43 performs processing for promoting the member to be a marker. In this process, the member data is copied from the member database 11 to the marker database 13. Then, the member is registered in the marker database 13 as a member origin marker. The clip product data of the corresponding member is also registered in the marker database 13 and becomes recommended product data of the marker. The member origin marker corresponds to a user origin representative recommender of the present invention.

  The member origin marker data is processed in the same manner as other pre-registered celebrity data. Therefore, the member origin marker is also selected as the matching marker according to the similarity, and the member origin marker information is presented in the marker area on the clipboard page of the other member.

  The member data that has become the member origin marker may also be left in the member database 11. The member database 11 also records that the member has been promoted to a marker. Thereafter, when the member origin marker further performs product clip or the like, data is recorded in both the member database 11 and the marker database 13.

  The member origin marker data may be stored in the member database 11 without being copied to the marker database 13. In this case, the member database 11 may function as the marker database 13. Then, the member origin marker data in the member database 11 may be processed in the same manner as the marker data in the marker database 13.

  The above promotion process may be performed when points of each member are updated. Further, the promotion process may be performed periodically for all members.

  Further, the promotion to the marker is notified to the member by the promotion processing unit 43. For example, when the corresponding member displays his / her clipboard page, a message of promotion to a marker may be displayed on the clipboard page. In addition, the product selection support device 1 may have a mail server function, and may send an email describing a message that conveys marker promotion.

  Further, as shown in FIG. 7, a point confirmation button is displayed in the self area of the clipboard page. Members can confirm their points by clicking the point confirmation button. The click of the point confirmation button is transmitted from the member terminal computer 5 to the product selection support device 1, and the product selection support device 1 reads the earned points from the member database 11, transmits them to the member terminal computer 5, and displays them on the clipboard page. Let

  The configuration and function of each part of the product selection support device 1 have been described above. Next, the overall operation of the product selection support apparatus 1 will be described. Here, the case where member A uses this system is used as an example.

  The member terminal computer 5 of the member A accesses the WEB site provided by the product selection support apparatus 1 and sends data such as the member ID input by the member A to the product selection support apparatus 1. In the product selection support device 1, the clipboard page generation unit 21 receives the member ID and generates the clipboard page of the member A. The clipboard page generation unit 21 requests the matching marker extraction unit 23 and the matching member extraction unit 25 to extract the matching marker and matching member of the member A.

  The matching marker extraction unit 23 and the matching member extraction unit 25 extract matching markers and matching members in response to a request from the clipboard page generation unit 21. And the clipboard page production | generation part 21 produces | generates the clipboard page of the member A, as demonstrated using FIG.

  The clipboard page of FIG. 7 is sent to the member terminal computer 5 by the clipboard page providing unit 27 and displayed on the display. In the clipboard page of FIG. 7, a plurality of matching markers and a plurality of matching members are displayed in the marker area and the friend area. The member terminal computer 5 receives one matching marker and one matching member selection. This selection is sent to the product selection support apparatus 1 and accepted by the clipboard page generation unit 21. The clipboard page generation unit 21 displays the tag image of the recommended product of the selected marker in the marker area, and also displays the tag image of the selected member's clip product in the friend area. Thus, the member terminal computer 5 displays the clipboard page of FIG. In this way, member A can browse the marker and other members' pages.

  As shown in FIG. 9, the member A looks at the clipboard page and drags a desired tag image displayed in the marker area and the friend area to his / her area. Data of this drag operation is sent from the member terminal computer 5 to the product selection support apparatus 1 and received by the clip receiving unit 31. The clip product registration unit 33 registers the product corresponding to the dragged tag image as the clip product data of the member A in the member database 11. At this time, the position and angle of the tag image in the self area are also registered.

  The member A can change the matching marker or change the matching member by operating the member terminal computer 5. Data on the operation of the member A is sent to the product selection support apparatus 1, and the marker selected by the member A and the member data are displayed on the clipboard page.

  Member A can also delete the previously clipped tag image. The data of this erasure operation is also sent from the member terminal computer 5 to the product selection support apparatus 1, and the data of the corresponding product is deleted from the clip product data of the member A in the member database 11.

  When the member A wants to purchase the clipped product, the member A drags the tag image of the product to the purchase mark. Member A opens the cart page, confirms the tag image in the cart, and clicks the checkout button. The data of this operation is transmitted to the product selection support apparatus 1 as a purchase request, and the purchase request receiving unit 35 and the purchase processing unit 37 perform the above-described processing for purchase. The purchase history is recorded in the member database 11.

  Assume that member B's data is displayed in the friend area of member A's clipboard page. Then, it is assumed that the clip product of member B is dragged and clipped by member A. In this case, in the product selection support device 1, the point update unit 41 increases the point of the member B in the member database 11.

  It is assumed that the acquisition point of member B has reached the promotion point by the above processing. In this case, the promotion processing unit 43 performs a process of promoting the member B to the member origin marker. As described above, the data of member B is copied to the marker database 13, and the data of member B is processed in the same manner as the data of other markers. Member B is notified of the promotion to the marker.

  Each member can confirm their earned points by clicking the point confirmation button on their clipboard page. At this time, in the product selection support device 1, the acquired points are read from the member database 11, and the points are sent to the member terminal computer 5 and displayed.

  From the above, by using the product selection support apparatus 1 of the present embodiment, the user can select a product in a visible manner by moving a tag such as a tag. By providing such an interface, the user can shop more intuitively.

  Also, on the clipboard page, the user's own area, the marker area, and the friend area are lined up exactly. Products can be easily selected and purchased by moving the tags of products recommended by the marker. The same applies to the friend area.

  In addition, members can freely move tags in their area, create a clipboard page that is easy to see, and select products intuitively. On the other hand, a member cannot move another member's tag. However, the tag arrangement of other members is reproduced in the friend area on the clipboard page by registering the position and angle of the tag image described above. Thereby, the member can feel the personality of other members displayed in the friend area. The same applies to the marker. Such reproduction of the tag arrangement contributes to the realization of analog and human touch product selection, and can increase the enjoyment of product selection.

  In addition, as the member selects a better product, the opportunity to be referred to by other members increases and the points increase. Being a marker can affect other members, and being a marker is an honor for members. Therefore, the member who wants to become a marker collects information on good products and enhances his clipboard page. In this way, selection of good products is promoted, and transmission of information on good products among members is also promoted.

  Hereinafter, modified examples and application examples of the above embodiment will be described. First, a modification example and an application example related to the similarity used for the matching marker and matching user extraction processing will be described.

  In the above embodiment, when calculating the similarity between a member and a marker, the data of the member's clip product and the recommended product of the marker are used, and more specifically, the number of matching products in both data is obtained. . On the other hand, the data of the member's past purchased products may be used for calculating the similarity. The method of calculating the similarity (number of matching) may be the same as when using clip product data. In the present embodiment, a product is selected from the clip products and purchased. Therefore, similarity calculation using purchased products is also a form of similarity calculation using clip products. Similarly, purchase merchandise data in the purchase history may be used when calculating the similarity between members.

  In the above-described embodiment, a plurality of matching markers having a similarity equal to or higher than a predetermined value are extracted. On the other hand, a matching marker of a predetermined number of people may be extracted from the one having a higher degree of similarity. Further, only the matching marker having the maximum similarity may be extracted. The same applies to matching members.

  In addition, at the initial stage of registration of members, since there are few or no clip products, matching markers and matching members may not be extracted. In this case, a list of appropriate markers and members is displayed on the clipboard page, the desired marker and member are selected, and the recommended product of the selected marker and the tag image of the clip product of the selected member are displayed. May be. If a certain number of clips are made, matching markers and matching members can be extracted.

  Also, the similarity is not limited to the number of matching described above. Other elements may be considered in addition to the number of matchings. Other similarities may be used. For example, a well-known Jaccard coefficient may be used as the similarity, and a cosine value may be used as the similarity. For example, if the clip product of member A is a, b, c, and the clip product of member B is b, c, d, the similarity (Jaccard coefficient) is 2/4 = 0.5.

"Similarity of placement"
The similarity described above is a parameter corresponding to the number of common products of the member's selected product and the recommended product of the marker, and specifically, the number of matching. Similarity between members was also expressed with similar parameters. However, the similarity is not limited to this, other similarities may be used, and multiple types of similarities may be used. Here, a similarity using a tag image arrangement will be described as a suitable similarity.

  As already described with reference to FIG. 3, the member database 11 stores, as a part of the clip product data, the arrangement of tag images corresponding to the clip product (position and angle in its own area) for each member. Yes. Further, the marker database 13 stores the arrangement of tag images corresponding to recommended products (position and angle in the marker area) for each marker as part of the recommended product data. Based on the tag image layout data stored in the member database 11 and the marker database 13, the matching marker extraction unit 23 extracts a marker whose tag image layout is similar to the target member as a matching marker. Further, the matching member extraction unit 25 extracts, as matching members, members whose tag image arrangement characteristics are similar to the target member based on the tag image arrangement data stored in the member database 11.

  More specifically, an arrangement parameter representing the feature of the arrangement of the tag image is obtained, and a matching marker and a matching member are extracted based on the arrangement parameter. The arrangement parameter is a parameter that statistically represents the variation (dispersion degree) of the arrangement of the plurality of tag images. In the present embodiment, the arrangement data is the position and angle of the tag image. The arrangement parameters are a position parameter that represents a variation in position and an angle parameter that represents a variation in angle. The arrangement parameter may be referred to as an arrangement characteristic parameter, and the position parameter and the angle parameter may be referred to as a position characteristic parameter and an angle characteristic parameter.

  The position parameter is, for example, a variance of the position of the tag image. The position parameter of one member A is obtained as follows. First, the member database 11 is referred to the clip product data of the member A, and the positions of tag images of all clip products are obtained. Using this position data, the distance from the area center of each tag image (center of own area) is obtained, and the dispersion of this distance is obtained. As is well known, the variance is a number obtained by dividing the sum of the squares of the data deviations by the number of data N. The deviation is the difference between the data value Xi and the average X. The marker position parameter is similarly calculated using the position data of the marker database 13.

  The positional parameter may be other than the variance. For example, the positional parameter may be a standard deviation (that is, the square root of the variance). The position parameter may simply be a value obtained by dividing the sum of the squares of the distances from the center by the number of data.

  Next, the angle parameter is, for example, the variance of the angle of the tag image. In order to obtain the angle parameter of one member A, the clip product data of the member A is referred to from the member database 11, the angles of the tag images of all clip products are obtained, and the variance of the angles is obtained. The angle parameter of the marker is similarly calculated using the angle data of the marker database 13. The angle parameter may be other than the variance. For example, the angle parameter may be a standard deviation.

  Using the position parameter and the angle parameter, the degree of similarity in tag arrangement between each member and each marker is evaluated. This evaluation is performed as follows, for example. The difference between the position parameter of one member and the position parameter of one marker is obtained as the position similarity. The difference between the angle parameter of the member and the angle parameter of the marker is obtained as the angle similarity. The smaller the position similarity and the angle similarity, the more similar the degree of variation in position and angle, and the similar arrangement features. When the position similarity (deviation) is not more than a predetermined reference value (position similarity reference value) and the angle similarity (deviation) is not more than a predetermined reference value (angle similarity reference value), it is determined that the member and the marker are similar The marker becomes a matching marker.

  The similar determination between members may be the same. A difference in position parameters between the two members is obtained as a position similarity. Further, a difference in angle parameters among these members is obtained as an angle similarity. When the position similarity (deviation) is not more than a predetermined reference value (position similarity reference value) and the angle similarity (deviation) is not more than a predetermined reference value (angle similarity reference value), it is determined that both members are similar. , One member becomes the matching member of the other member.

  With the above configuration, a matching marker whose tag image arrangement feature is similar to that of the target member is extracted. The tag image layout reflects the individuality of the target member and marker. Therefore, an appropriate matching marker can be extracted by extracting a marker having a similar tag image arrangement. Matching members are the same as the matching marker, and appropriate matching members can be extracted based on the tag image arrangement representing the individuality of the members.

  The arrangement of tag images is preferably used for similarity determination together with the degree of similarity according to the number of common products described in the above embodiment. The similarity of the number of common products is the number of matching in the above example. The matching marker extraction unit 23 may extract, as a matching marker, a marker that is determined to be similar to the target member based on the number of matches and that is determined to be similar to the target member based on the tag arrangement. Similarly, the matching member extraction unit 25 may extract a member that is determined to be similar to the target member based on the number of matchings and that is determined to be similar to the target member based on the tag arrangement as a matching member.

  Furthermore, superiority or inferiority may be attached to the above determination. For example, it is assumed that a common marker is not found in the determination using the matching number and the determination using the tag arrangement. In this case, the matching marker is determined based only on the number of matches. Similarly, when a common member is not found in the matching number determination and the tag placement determination, a matching member is determined based only on the matching number. It can be considered that such a determination can emphasize the preference of the product and can select an appropriate matching marker and matching member.

  Further, when a similar marker is not found in the determination using the matching number, a similar marker may be determined using only the tag arrangement. Similarly, when a similar member is not found by the determination using the matching number, a similar member may be determined using only the tag arrangement. This makes it possible to extract matching members and matching members even when there are no similar markers and members from the viewpoint of common products.

  In the above, the modification and application example regarding the similarity used for the extraction process of a matching marker and a matching user were demonstrated. Next, modification examples and application examples of other matters will be described.

  In the above-described embodiment, the item is a product. Goods are not limited to goods. The product may be electronic data of content such as video and music. Further, the item may be other than the product. For example, an item is information. The information is, for example, current news or a recommended play spot. The device of the present invention may provide both merchandise and information.

  In the above-described embodiment, the point is a cumulative value of the number of times of selection (the number of times that the clip product is clipped from other members). Points may also be added by other factors. For example, the points may further include purchase results. In this case, when a member purchases a product, his / her points increase. Further, the number of additional points may be different depending on the point addition factor.

  Further, the points may be used in addition to the process of promoting to a marker. For example, the accumulated points may be used for product purchase.

  Other functions may be provided in the own area of the clipboard page. For example, buttons for regular purchase and history confirmation are displayed. When each button is clicked, button operation data is sent to the product selection support device 1, and the product selection support device 1 performs processing such as displaying information on a clipboard page in accordance with the operated button.

  Each member may input a comment about the product using the clipboard page (posting information). For example, a member inputs a comment of a product that he / she is happy to use. This recommended comment is sent from the member terminal computer 5 to the product selection support apparatus 1 and registered in the product information database 17 by the registration unit 19. Then, a comment is added to the detailed product information in the product information database 17.

  Each member can also introduce new products (product registration). Information on new products is input using the WEB page of the product selection support device 1, product information is transmitted from the member terminal computer 5 to the product selection support device 1, and is registered in the product information database 17 by the registration unit 19. Further, a tag image may be generated using a web page, and the tag image may be stored in the tag image storage unit 15.

  The marker database 13 may store the data of the original product of the marker in addition to the existing product as the recommended product data of the marker. The original product is, for example, “Breakfast set of marker“ P ””. The tag image and detailed information of the original product are also stored in the tag image storage unit 15 and the product information database 17 in the same manner as the existing product data. Information on the original product is also provided in the same manner.

  The marker database 13 may also store marker product development ideas. Product development ideas are handled in the same way. Tag images are arranged in the marker area, and detailed information is also provided.

  The product selection support device 1 may have a normal product search function in addition to the above-described marker and the function of receiving recommendations from other members. A product database is provided, and a product may be selected by category search or product name search.

  The marker database 13 may store introduction information for introducing each marker. An introduction button may be displayed in the marker area of the clipboard page. When the introduction button is operated, introduction information is read from the marker database 13 and output via the member terminal computer 5. The introduction information may be a video or a blog. The introduction information may be an image such as a magazine article.

  The member may be able to send an email to the marker. For example, when data of one matching marker is displayed in the marker area, a mail button is displayed in the marker area. The mail button is clicked, a message is written to the mail, and the mail is sent. The e-mail address of the marker may be set automatically. Similar email buttons may be provided in the friend area, and emails may be sent to matching members.

  The preferred embodiments of the present invention have been described above. However, the present invention is not limited to the above-described embodiments, and it goes without saying that those skilled in the art can modify the above-described embodiments within the scope of the present invention.

  As described above, the item selection support apparatus according to the present invention can support item selection by presenting recommended items such as products on a user terminal via a network, and is useful as an information providing apparatus.

It is a figure which shows the system which consists of a goods selection assistance apparatus and related structure in embodiment of this invention. It is a functional block diagram which shows the structure of a goods selection assistance apparatus. It is a figure which shows the database with which the product selection assistance apparatus was equipped. It is a figure which shows the detailed product information memorize | stored in a product information database. It is a figure which shows the process which calculates | requires the similarity degree of a member and a marker. It is a figure which shows the process which calculates | requires the similarity of members. It is a figure which shows a clipboard page. It is a figure which shows a clipboard page. It is a figure which shows merchandise clip operation on a clipboard page.

Explanation of symbols

1 Product Selection Support Device 3 Internet 5 Member Terminal Computer 7 Payment Server 11 Member Database 13 Marker Database 15 Tag Image Storage Unit 17 Product Information Database 19 Registration Unit 21 Clipboard Page Generation Unit 23 Matching Marker Extraction Unit 25 Matching Member Extraction Unit 27 Clipboard Page Providing section 29 Tag display section 31 Clip receiving section 33 Clip product registration section 35 Purchase request receiving section 37 Purchase processing section 41 Point update section 43 Promotion processing section

Claims (10)

An item selection support apparatus for presenting a plurality of recommended items via a network, receiving an input of a selected item selected from the plurality of recommended items, and registering selected item data for specifying the selected item ,
A user database storing data of a plurality of users, at least a user database storing the selected item data of each user;
A representative recommender database that stores data of a plurality of representative recommenders registered in advance, and at least a representative recommender database that stores recommended item data that identifies items recommended by each representative recommender;
Item selection work page generation means for generating an item selection work page used for providing information and selecting work of the recommended item for each user registered in the user database;
As the process for the target user of each item selection work page, the selected item of the target user based on the selected item data stored in the user database and the recommended item data stored in the representative recommender database Similar representative recommender extracting means for extracting similar representative recommenders having the recommended item data similar to data,
Item display means for displaying a similar representative recommender recommended item specified by the recommended item data of the similar representative recommender in a similar representative recommender area set on the item selection work page;
Item selection work page providing means for providing the item selection work page to the target user via a network;
A selection receiving means for receiving an input of item selection from the similar representative recommender recommended item displayed on the item selection work page;
A selection item registration unit that registers the selection item data for specifying the similar representative recommended item received by the selection reception unit as the selection item in the user database in association with the target user;
An item selection support apparatus comprising: A similar user extracting unit that extracts similar users having the selected item data similar to the selected item data of the target user based on the selected item data of the plurality of users stored in the user database;
The item display means further displays a selection item specified by the selection item data of the similar user in a similar user area set in the item selection work page as a similar user recommended item,
The selection receiving means further receives an input of item selection from the similar user recommended item,
The selected item registering unit further registers the selected item data specifying the similar user recommended item received by the selection receiving unit as the selected item in the user database in association with the target user. The item selection support apparatus according to claim 1. A tag image storage unit that stores a tag image that is an image for each item to be recommended,
The item display means displays the tag image of the similar representative recommender recommended item and the similar user recommended item in the similar representative recommender area and the similar user area of the item selection work page, respectively.
The selection accepting unit accepts dragging of the tag image from the similar recommended representative region and the similar user region to a target user region set in the item selection work page as an input of the item selection. The item selection support device according to claim 2. The selected item registration means registers the arrangement of the tag image dragged to the target user area in the target user area in the user database,
The item selection support device according to claim 3, wherein the item display means displays the tag image in the target user area in an arrangement registered in the user database. The user database stores, as the selected item data, the arrangement of the tag image corresponding to the selected item in the target user area for each user,
The representative recommender database stores the arrangement of the tag image corresponding to the recommended item in the representative recommender area for each representative recommender as the recommended item data,
The similar representative recommender extraction unit extracts representative recommenders whose tag image layout characteristics are similar to the target user based on the user database and the tag image layout data stored in the similar representative database. And
5. The similar user extracting unit extracts a user whose tag image layout feature is similar to the target user based on the tag image layout data stored in the user database. The item selection support device described. The user database records points according to the number of selected times, which is the number of times each user is selected as the similar user and the user's selection item is selected as a similar user recommended item from another user,
A user whose point has reached a predetermined promotion point is registered in the representative recommender database as a user-represented representative recommender, and the selected item data of the user-represented representative is used as the recommended item data in the representative recommender database. The item selection support apparatus according to claim 2, further comprising an elevating processing means for registering to the item. Item selection support that is a computer system that presents a plurality of recommended items via a network, accepts input of a selected item selected from the plurality of recommended items, and registers selected item data for specifying the selected item An item selection support method by a device,
A user database for storing data of a plurality of users, at least using a user database for storing the selected item data of each user;
A representative recommender database that stores data of a plurality of representative recommenders registered in advance, at least using a representative recommender database that stores recommended item data that identifies items recommended by each representative recommender,
For each user registered in the user database, generating an item selection work page used for providing information and selecting work of the recommended item,
As the process for the target user of each item selection work page, the selected item of the target user based on the selected item data stored in the user database and the recommended item data stored in the representative recommender database Extracting similar representative recommenders having the recommended item data similar to the data;
Displaying a similar representative recommender recommended item specified by the recommended item data of the similar representative recommender in a similar representative recommender area set on the item selection work page;
Providing the item selection work page to the target user via a network;
Receiving an item selection input from the similar representative recommender recommended item displayed on the item selection work page;
Registering the selected item data for specifying the accepted representative representative recommended item as the selected item in the user database in association with the target user;
Item selection support method characterized by the above. Extracting similar users having the selected item data similar to the selected item data of the target user based on the selected item data of the plurality of users stored in the user database;
The selected item specified by the selected item data of the similar user is displayed as a similar user recommended item in the similar user area set in the item selection work page,
Accepting item selection input from the similar user recommended items,
Registering the selected item data specifying the similar user recommended item received by the selection receiving unit as the selected item in the user database in association with the target user;
The item selection support method according to claim 7. An item which is a computer system that presents a plurality of recommended items via a network, receives input of a selected item selected from the plurality of recommended items, and registers selected item data for specifying the selected item An item selection support program to be executed by a selection support device,
A user database for storing data of a plurality of users, at least using a user database for storing the selected item data of each user;
A representative recommender database that stores data of a plurality of representative recommenders registered in advance, at least using a representative recommender database that stores recommended item data that identifies items recommended by each representative recommender,
For each user registered in the user database, generating an item selection work page used for providing information and selecting work of the recommended item,
As the process for the target user of each item selection work page, the selected item of the target user based on the selected item data stored in the user database and the recommended item data stored in the representative recommender database Extracting similar representative recommenders having the recommended item data similar to the data;
Displaying a similar representative recommender recommended item specified by the recommended item data of the similar representative recommender in a similar representative recommender area set on the item selection work page;
Providing the item selection work page to the target user via a network;
Receiving an item selection input from the similar representative recommender recommended item displayed on the item selection work page;
Registering the selected item data for specifying the accepted representative representative recommended item as the selected item in the user database in association with the target user;
An item selection support program for causing a computer system to execute processing. Extracting similar users having the selected item data similar to the selected item data of the target user based on the selected item data of the plurality of users stored in the user database;
The selected item specified by the selected item data of the similar user is displayed as a similar user recommended item in the similar user area set in the item selection work page,
Accepting item selection input from the similar user recommended items,
Registering the selected item data specifying the similar user recommended item received by the selection receiving unit as the selected item in the user database in association with the target user;
The item selection support program according to claim 9, wherein the computer system is caused to execute processing.

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