JP5492503B2 - Information processing apparatus, information processing method, and program for information processing apparatus - Google Patents

Description

The present invention relates to a technical field of an information processing apparatus, an information processing method, and a program for an information processing apparatus that recommend a product or service to a user using the user's browsing history information.

  Conventionally, in order to promote transactions in electronic commerce systems, recommend systems that provide products that are expected to meet the user's preference from a large amount of information existing on the Internet, and advertisements posted on websites When a viewer purchases an advertiser's product, an affiliate that gives a success fee to a website operator is used. For example, as a recommendation system, Japanese Patent Laid-Open No. 2004-228867 manages not only the purchase history of content purchased on the online storage by the user but also the operation history of content that can only be acquired after online purchase by the user database. The content recommendation and the sales method for grasping the user's preference and recommending and selling the optimum content for the user are disclosed.

JP 2004-13231 A

  However, in the above-described prior art, if the products are narrowed down and recommended, the possibility of deviating from the user's preference increases. In addition, when multiple recommended products are presented, there is a high possibility that the user will hit the product that the user currently desires, but the direct relationship of the presented product is often low, and the user selects The product's appeal effect tends to be diminished. Therefore, in order to further promote transactions in the electronic commerce system, it is desired to improve the recommendation effect for the user.

  Also, user preferences are uncertain and change over time. For this reason, when recommending products by narrowing down the details, the user may be far from the products that the user really wants. In that case, it is preferable to make a configuration such that after recommending a product as if it is shaded, it can be further narrowed down and recommended in response to a user operation.

The present invention has been made in view of such problems, and an example of the problem is to provide an information processing apparatus, an information processing method, and a program for the information processing apparatus that improve a recommendation effect for a user. With the goal.

In order to solve the above-mentioned problem, the invention described in claim 1 is the first related to the product or service displayed on the user terminal based on the action history information of the user related to the product or service for which information is provided via the network. Other user related to the product or service that is product information and extracts a plurality of the first product information displayed in a selectable manner on the user terminal, and the information is provided via the network Second extraction means for extracting, for each of the first product information, second product information related to the product or service recommended to the user based on the action history information and the first product information, and the plurality of first products Each time one of the information is selected by the user, the selected first product information is selected as another first product information that is not selected but can be selected. With displays in distinct display form and the second product information corresponding in association with the selected one of said first product information to be displayed by the user terminal, transmitting the second product information And a transmission means.

Invention of claim 2, based on the user behavior history information on goods or service information over a network is provided, a first product information about a product or service is displayed on the user terminal, the user A first extraction means for extracting a plurality of the first product information displayed in a selectable manner on a terminal ; behavior history information of other users related to a product or service for which information is provided via the network; A second extraction unit that extracts, for each first product information, second product information related to the product or service recommended to the user based on one product information, and one of the plurality of first product information is selected by the user; Each time the selected first product information is displayed separately from the other unselected first product information, and the selected first product information is displayed. With displays in capable display mode to select other first product information not, the second commodity information corresponding in association with the first product information one of the selected for display at the user terminal And transmitting means for transmitting the second product information.

According to a third aspect of the present invention, in the information processing apparatus according to the first or second aspect, the one selected first commodity information is distinguished from the other unselected first commodity information. In the displayed state, the mouse over the region where one of the other first product information is displayed selects the first product information that is over the mouse.
According to a fourth aspect of the present invention, in the information processing apparatus according to any one of the first to third aspects, the transmission unit sends the second product information to the balloon area together with the first product information. The second display information to be displayed is transmitted.

According to a fifth aspect of the present invention, in the information processing apparatus according to any one of the first to fourth aspects, user information collecting means for collecting the behavior history information from the user terminal, and the behavior history information anda action history storage means for storing said user information acquisition means, the collecting and the action history information stored in the user terminal, the first extraction means, based on the collected the action history information the extracts first instruments information, the second extraction means, based on the action history information stored in the action history storage means, and extracting said second instruments information.

According to a sixth aspect of the present invention, in the information processing apparatus according to the fifth aspect , the user information collecting unit is configured to display the behavior history information including browsing history information of different domains browsed by the user from the user terminal. It collects in the said user terminal unit, It is characterized by the above-mentioned.

The invention described in claim 7, the information processing apparatus according to claim 6, after storing the action history information of different domains in the cache, the first product information the first extracting means with reference to said cache Is extracted.

The invention of claim 8 is the information processing apparatus according to any one of claims 1 to 7, said second Extraction means for extracting a second instruments information based on the user information It is characterized by.

The invention according to claim 9 is an information processing method of an information processing apparatus including a first extraction unit, a second extraction unit, and a transmission unit, wherein the first extraction unit provides information via a network. based on the user's behavior history information on goods or services, a first product information about a product or service is displayed on the user terminal, a plurality of the first product information selectably displayed in the user terminal And the second extraction means is based on the action history information of other users related to goods or services for which information is provided via the network, and the first product information, a second extraction step of extracting the second product information about products or services recommended to the user for each of the first product information, said transmitting means, the first quotient of said plurality Each time one of the information is selected by the user, the selected first product information is displayed in a display mode that is distinguished from other selectable first product information that is not selected, the second commodity information corresponding in association with the selected one of said first product information to be displayed by the user terminal, and having a transmitting step of transmitting the second product information .

The invention of claim 10 causes a computer, based on the user behavior history information on goods or service information over a network is provided, a first product information about a product or service is displayed on the user terminal A first extraction means for extracting a plurality of the first product information displayed in a selectable manner on the user terminal, action history information of other users related to a product or service for which information is provided via the network, Second extraction means for extracting, for each first product information, second product information related to a product or service recommended to the user based on the first product information , and one of the plurality of first product information. Each time the user selects the selected one first product information, the other first product information that is not selected but can be selected Causes display on another is the display mode, the second commodity information corresponding in association with the selected one of said first product information to be displayed by the user terminal, transmission for transmitting the second product information It is made to function as a means.

According to the present invention, to present to the user the product group Yoo over THE is assumed that it would interested as the first instruments information, the operation of the user second instruments information associated with the first instruments Information By presenting it from a storage device stored in advance, the relevance of product information is generated, the appeal of the product is increased, the recommendation effect on the user can be improved, and the load on the server can be reduced quickly. It is possible to provide elaborate product recommendations in the state of being allowed.

It is a mimetic diagram showing an example of outline composition of a recommendation system concerning an embodiment of the present invention. It is a block diagram which shows an example of schematic structure of the recommendation server of FIG. It is a block diagram which shows an example of schematic structure of the user terminal of FIG. It is a sequence diagram which shows the operation example of browsing history preservation | save in the service provision server of FIG. It is a sequence diagram which shows the operation example of the recommendation goods pre-generation in the recommendation server of FIG. It is a sequence diagram which shows the operation example of the display method of the recommendation goods in the recommendation server of FIG. It is a schematic diagram which shows an example of the 1st recommendation merchandise information displayed on the user terminal of FIG. It is a schematic diagram which shows an example of the 2nd recommendation merchandise information displayed on the user terminal of FIG.

  The best mode for carrying out the present invention will be described below with reference to the drawings.

  First, a schematic configuration and functions of a recommendation system according to an embodiment of the present invention will be described with reference to the drawings.

  FIG. 1 is a schematic diagram illustrating a schematic configuration example of a recommendation system according to an embodiment of the present invention.

  As shown in FIG. 1, the recommendation system 1 provides a recommendation server 10 for recommending a product or service recommended to the user, a product or service, a Web information page related to the product or service, a product, or the like. Service providing servers 12 and 14 that perform the purchase processing of the user, and a user terminal 20 for a user to browse Web information.

  The recommendation server 10, the service providing servers 12 and 14, and the user terminal 20 are connected by a network 5 such as the Internet. The recommendation server 10 and the service providing servers 12 and 14 may be connected by a local area network. The user terminal 20 may be a mobile terminal connected through a mobile communication network (packet network).

The recommendation server 10 includes user information such as user attributes and browsing history, first recommended product information related to products or services recommended to the user based on the user information, second recommended product information based on the first recommended product information, and the like. Is stored in the database 11. Then, the recommendation server 10 functions as an example of an information processing device, and extracts first recommended product information based on the browsing history information of the user, or extracts second recommended product information based on the first recommended product information. Or Further, the recommendation server 10 generates a document on the Web described in a markup language such as HTML (HyperText Markup Language). For example, the recommendation server 10 generates first recommended display information for displaying the first recommended product information on the user terminal 20 or second recommended display information for displaying the second recommended product information on the user terminal 20. Or generate. Here, the user information includes user's browsing history, purchase history, behavior history such as tracking information on transition on the web, user personal information such as user ID and user's age and gender, and the like. The first recommended product information and the second recommended product information include product information and service information.

  The database 11 includes a hard disk drive, a silicon disk, and the like, and stores second recommended product information associated with the first recommended product information for each purchase history and user ID.

  The service providing servers 12 and 14 have databases 13 and 15, respectively. The service providing servers 12 and 14 provide various services such as book sales, airline ticket reservations, auctions, etc., function as Web servers, and perform various processes related to purchase procedures for products and the like. In the present embodiment, since the domains differ depending on various services such as book sales, airline ticket reservations, auctions, etc., the service providing server 12 and the service providing server 14 have different domain names.

  The databases 13 and 15 are composed of hard disk drives, silicon disks, and the like, and store product information for advertising products and services, user IDs, purchase histories, and the like.

Next, the configuration and function of the recommendation server 10 will be described with reference to the drawings.
FIG. 2 is a block diagram illustrating an example of a schematic configuration of the recommendation server 10.

  As shown in FIG. 2, the recommendation server 10 functioning as a computer includes a control unit 10a, a storage unit 10b, and a communication unit 10c. The control unit 10a, the storage unit 10b, and the communication unit 10c are connected by a system bus 10d.

  The control unit 10a has a CPU (Central Processing Unit) and the like, and is described in a markup language such as HTML as an example of generating first recommended product information and second recommended product information or generating recommended display information. Web documents are generated.

  The storage unit 10b includes a RAM (Random Access Memory), a ROM (Read Only Memory), and the like, stores an execution program and calculation results of the control unit 10a, and speeds up data reading as a cache function. To do. The storage unit 10 b is an example of a browsing history storage unit that stores browsing history information collected from the user terminal 20.

  The communication unit 10c is connected to the network 5 and controls the communication state with the service providing servers 12, 14 and the user terminal 20 or the like. The configuration of the service providing servers 12 and 14 is almost the same as that of the recommendation server 10.

Next, the configuration and function of the user terminal 20 will be described with reference to the drawings.
FIG. 3 is a block diagram illustrating an example of a schematic configuration of the user terminal 20.

  As illustrated in FIG. 3, the user terminal 20 that functions as a computer includes a display unit 21, an operation unit 22, a communication unit 23, a storage unit 24, and a control unit 25. The display unit 21 and the like are connected through the system bus 26.

  The display unit 22 is, for example, a CRT (Cathode Ray Tube) display, a liquid crystal display, or the like, and displays information such as characters and images.

  The operation unit 22 is, for example, a keyboard, a mouse, or the like, receives an operation instruction from an operator or the like, and outputs the instruction content to the system control unit 25 as an instruction signal.

  The communication unit 23 is connected to the network 5 and controls the communication state with the recommendation server 10 and the service providing servers 12 and 14.

  The storage unit 24 is, for example, a RAM, a ROM, a hard disk drive, a silicon disk, or the like, and is assigned with an area for storing cookie information, and stores a browsing history for each accessed domain.

  The control unit 25 has a CPU (Central Processing Unit) and stores browsing history information from the Web server in the cookie area of the storage unit 24 or displays recommended product information on the display unit 22 according to the recommendation display information on the Web browser. Or grasping the state of the operation unit 22.

  Next, the operation of the present embodiment will be described with reference to the drawings.

  FIG. 4 is a sequence diagram illustrating an operation example of browsing history storage in the service providing server 12 or the service providing server 14. Hereinafter, the service providing server 12 will be described, but the service providing server 14 operates in the same manner.

  First, the user uses the user terminal 20 to access the market of the service providing server 12 and perform a login operation. Then, the user performs an operation on the user terminal 20 to access the market of the service providing server 12 and browse the web page. A case where the user accesses the service providing server 12 will be described.

  Then, the user terminal 20 transmits a page request as shown in FIG. 4 (step S1). Specifically, the control unit 25 of the user terminal 20 transmits request information such as a URL (Uniform Resource Locator) to the service providing server 12.

  Next, the service providing server 12 transmits page data to the user terminal 20 (step S2). Specifically, in response to a page request from the user terminal 20, the service providing server 12 transmits Web page information described in a markup language such as HTML to the user terminal 20.

Next, the service providing server 12 stores the browsing history (step S3). Specifically, the service providing server 12 stores the page request from the user terminal 20 in the database 13 as a browsing history. Thus, the service providing server 12 has a function as user information collecting means for collecting user information from the user terminal 20, and also functions as an example of an information processing apparatus. When the user purchases a certain product or the like, the service providing server 12 stores a purchase history.

  Next, the service providing server 12 generates cookie information for storing in the user terminal 20 regarding the browsing history (step S4). Specifically, the service providing server 12 specifies, as cookie information, an ID for identifying a browsing history such as a shop ID indicating which shop is browsed and an item ID indicating which product or service is browsed, Cookie information such as a service ID indicating whether the form is a mall or an auction is generated from the browsing history.

  Next, the service providing server 12 stores the browsing history in the cookie (step S5). Specifically, the service providing server 12 transmits the domain name related to the service providing server 12 as the domain attribute of the cookie together with the cookie information related to the browsing history. In the case of the service providing server 14, a different domain name is used.

  Next, the user terminal 20 stores the browsing history in a cookie (step S6). Specifically, the user terminal 20 stores the received cookie information in the storage unit 24 of the user terminal 20. The web browser stores about 70 to 80 browsing histories. When the upper limit is exceeded, the old browsing history is deleted.

Next, an operation example for generating in advance a product or service to be recommended to the user will be described with reference to the drawings.
FIG. 5 is a sequence diagram illustrating an operation example of the recommended product pre-generation in the recommendation server 10.

  First, the recommendation server 10 accesses the service providing servers 12 and 14, acquires products or services in the browsing history of each user, purchase history, user ID, and the like, and stores them in the database 11.

  Next, the recommendation server 10 extracts a second recommended product in advance based on the products and services of the browsing history and the user information (step S7). Specifically, the recommendation server 10 uses other user information together with user information such as purchase history, user age, and sex for information related to products and services in the browsing history as an example of the first recommended product information. Based on this, the second recommended product is extracted by collaborative filtering. As described above, the recommendation server 10 functions as an example of a second recommendation extraction unit that extracts the second recommended product information in advance based on the first recommended product information. Moreover, the recommendation server 10 functions as an example of a second recommendation extraction unit that extracts second recommended product information based on user information.

  Next, the recommendation server 10 stores the second recommended product information related to the second recommended product in the database 11 in association with the products and services in the browsing history and the user personal information (step S8). Specifically, the recommendation server 10 stores the second recommended product information in advance in the database 11 in association with the shop ID and item ID related to the products and services in the browsing history for each user ID. The cookie of the user terminal 20 has a browsing history (an example of first recommended product information) as simple information, and the recommendation server 10 receives the cookie information from the user terminal 20 and receives a detailed and detailed second recommendation. Make sure you can do it immediately. As described above, the database 11 functions as an example of a product information storage unit that stores the second recommended product information by associating the second recommended product information with the first recommended product information.

  Next, generation of recommendation display information in the recommendation server 10 and display of recommended products on the user terminal 20 will be described with reference to the drawings.

  FIG. 6 is a sequence diagram illustrating an operation example of a recommended product display method in the recommendation server 10. FIG. 7 is a schematic diagram illustrating an example of first recommended product information displayed on the user terminal 20. FIG. 8 is a schematic diagram illustrating an example of second recommended product information displayed on the user terminal 20.

  First, the user terminal 20 makes a page request to the recommendation server 10 (step S10). Specifically, the user uses the user terminal 20 to access a web page on which recommendation information is described. If the destination of the page request by the user terminal 20 is a Web page that makes a recommendation in the service providing servers 12 and 14, the user terminal 20 jumps to the recommendation server 10 by redirection or the like. Alternatively, the service providing servers 12 and 14 may request the recommendation server 10 for information on a portion for displaying the recommended product information, or may request generation of a Web page in which the recommendation information is described.

  Next, the recommendation server 10 requests cookie information from the user terminal 20 (step S11). Specifically, the recommendation server 10 requests browsing histories related to a plurality of domain names managed by the recommendation server 10 among the cookie information stored in the user terminal 20.

  And user terminal 20 transmits cookie information to recommendation server 10 (Step S12). Specifically, the user terminal 20 compares the requested domain names with the value of the domain attribute of the cookie, and collects the corresponding cookie information. And shop ID, item ID, etc. of the cookie information regarding the requested | required several domain name are transmitted to the recommendation server 10 with user ID. Note that the user ID may be an ID obtained by performing a login procedure on a website related to the recommendation server 10.

  Thus, the recommendation server 10 functions as an example of a user information collection unit that collects user information from the user terminal 20. The recommendation server 10 functions as an example of a user information collection unit that collects browsing history information stored in the user terminal 20.

  Next, the recommendation server 10 temporarily stores browsing history information of each domain in a cache (step S13). Specifically, the cookie information of each domain sent from the user terminal 20 is temporarily stored in the RAM of the storage unit 10b of the recommendation server 10. When domains are different for various services, browsing histories in all service domains are acquired by temporarily storing them in the cache in this way. As described above, the recommendation server 10 functions as an example of a user information collection unit that collects browsing history information, which is an example of user information, from the user terminal 20. Moreover, the recommendation server 10 functions as an example of a user information collection unit that collects browsing history information stored as cookie information in the storage unit 24 of the user terminal 20.

  Then, the recommendation server 10 collects the browsing history information of each domain (step S14). Specifically, the recommendation server 10 arranges the browsing history from the browsing history of each domain in order for each access time based on the information on the access time acquired from the cookie. In this way, browsing history information is collected for each user regardless of the domain name. This browsing history information is an example of first recommended product information. The browsing history information in which the browsing history information of each domain is collected for each user is stored in the cache area of the storage unit 10b as an example in the browsing history storage unit. The database 11 may be used instead of the storage unit 10b.

  Thus, the recommendation server 10 functions as an example of a first recommendation extraction unit that extracts first recommendation product information related to a product or service recommended to the user based on the user's browsing history information. Moreover, the recommendation server 10 functions as an example of a first recommendation extraction unit that extracts first recommendation product information based on the browsing history information. Further, the recommendation server 10 functions as an example of a first recommendation extraction unit that extracts first recommendation product information by referring to the cache after storing browsing history information of different domains in the cache. Further, the recommendation server 10 functions as an example of a user information collecting unit that collects browsing history information of different domains browsed from the user terminal 20 in units of user terminals.

  Next, the recommendation server 10 merges the top images of the products in the browsing history into the first recommendation pane (step S15). Specifically, the recommendation server 10 first extracts the first recommended product information based on the shop ID and item ID of the latest browsing history information. Then, the recommendation server 10 merges the products and services of the latest browsing history as the first recommended product information into the pane of the frame displaying the first recommended product information on the Web page that has received the request. . The web page in which the first recommended product information is merged is information described in a markup language or the like, and is an example of first recommendation display information. Thus, the recommendation server 10 functions as an example of a first recommendation generation unit that generates first recommendation display information for displaying first recommendation product information on the user terminal. Moreover, the recommendation server 10 functions as an example of a first recommendation extraction unit that extracts the first recommended product information based on the collected browsing history information.

  Next, the recommendation server 10 produces | generates the 2nd recommendation display information relevant to the goods of a high-order browsing history (step S16). Specifically, the recommendation server 10 uses the second recommendation described in a markup language or the like so as to form a device for displaying second recommendation product information related to the product of the higher browsing history on the Web page. Generate display information. More specifically, when the pointer of the operation unit 22 (mouse) of the user terminal 20 is hovered over the position where the first recommended product information is displayed in the pane of the frame displaying the first recommended product information. The second recommended product information is described in a markup language so that it is displayed in a display form such as a balloon. Thus, the recommendation server 10 functions as an example of a second recommendation generation unit that generates second recommendation display information for displaying the second recommended product information on the user terminal 20 with reference to the product information storage unit. Further, the recommendation server 10 functions as an example of a second recommendation generation unit that generates second recommendation display information for displaying the second recommended product information in the balloon area based on the user's terminal operation.

  Next, the recommendation server 10 transmits page information to the user terminal 20 (step S17). Specifically, the recommendation server 10 transmits information on the Web page including the first recommendation display information and the second recommendation display information to the user terminal 20. As shown in FIG. 7, on the user terminal 20, recently checked product images 31 a, 31 b, 31 c, 31 d, and 31 e are displayed as the first recommended product information in the pane 31 of the Web page 30. As described above, the recommendation server 10 functions as an example of a transmission unit that transmits the first recommendation display information and the second recommendation display information.

  Next, the recommendation server 10 searches for the second recommended product information (step S18). Specifically, the recommendation server 10 searches the database 11 for the second recommended product information related to the product of the higher browsing history by the user ID and the item ID stored in the cache area of the storage unit 10b. Thus, the recommendation server 10 functions as an example of a second recommendation extraction unit that extracts the second recommended product information based on the first recommended product information. The recommendation server 10 functions as an example of a second recommendation extraction unit that extracts second recommended product information based on the browsing history information stored in the browsing history storage unit.

  Next, the user terminal 20 transmits trigger information to the recommendation server 10 (step S19). Specifically, as shown in FIG. 8, the user moves the mouse pointer 33 on the display unit 21 of the user terminal 20, and the pointer 33 moves to the area where the first recommended product information 31 b is displayed. When it is over, the user terminal 20 transmits trigger information for requesting the second recommended product information.

  Then, the recommendation server 10 receives the trigger information and transmits the second recommended product information to the user terminal 20 (step S20). Specifically, the recommendation server 10 transmits the second recommended product information related to the product of the upper browsing history. Then, as shown in FIG. 8, in the balloon (balloon) area 32, the second recommended product information 32a and 32b related to the first recommended product information 31b, the ranking 32c as the second recommended product information, and the like are displayed. As described above, the second recommended product information 32a, 32b, and 32c are displayed in the balloon region 32 together with the first recommended product information 31b. The recommendation server 10 functions as an example of a second recommendation generation unit that generates second recommendation display information for displaying the second recommended product information together with the first recommended product information.

  Note that the corresponding second recommended product information may be transmitted each time the display area of the other first recommended product information that has not been moused over yet is moused over. In this case, along with the trigger information, information indicating which position the first recommended product information is also transmitted. Further, the second recommended product information may also be transmitted when the page information is transmitted in step S7.

  As described above, according to the present embodiment, the first recommended product information 31a, 31b, 31c, 31d, 31e related to the product or service recommended to the user is extracted based on the user's browsing history information, and based on the first recommended product information. The second recommended product information 32a, 32b, 32c is extracted in advance, the second recommended product information is associated with the first recommended product information, the second recommended product information is stored, and the first recommended product information is displayed on the user terminal 20. Generating first recommendation display information for generating first recommendation display information, and generating second recommendation display information for displaying the second recommended product information on the user terminal 20 with reference to the product information storage means (database 11). By transmitting the first recommendation display information and the second recommendation display information, A storage device that presents a group of products assumed to be of interest to the user as first recommended product information, and pre-stores second recommended product information related to the first recommended product information according to the user's operation By presenting the product information, the product information relevance is enhanced, the appeal of the product is enhanced, the recommendation effect on the user can be improved, and the detailed product recommendation can be made quickly and with reduced server load. Can provide. Moreover, the recommendation server 10 can be linked to conversion by improving the recommendation effect on the product or service.

  In addition, although the user's preference is uncertain and is likely to change with the passage of time, the recommendation server 10 receives the user's operation after recommending the product as if it is shaded using the first recommended product information. Since the second recommended product information can be further narrowed down, the product that the user really wants can be recommended.

  In addition, when the recommendation server 10 presents the second recommended product information after the first recommended product information, it is possible to narrow down the products step by step or to navigate the product or service. The power is increased and the recommendation effect for the user can be improved.

  Furthermore, the recommendation server 10 refines the products and services in detail by using the second recommended product information, and further adds explanations of the products and services, thereby increasing the appeal of the products and services and increasing the recommendation effect on the user. Can be improved.

  Also, the recommendation server 10 generates the second recommendation display information for displaying the second recommendation product information 32a, 32b, and 32c in the balloon area 32 based on the user's terminal operation as when the mouse pointer 33 is over the mouse. In this case, since the second recommended product information 32a, 32b, and 32c related to the first recommended product information 31b is accessed when the user accesses paying attention to the first recommended product information 31b or the like, the appeal power of the product or service is increased. As a result, it is possible to further improve the recommendation effect for the user, and it becomes possible to make an accurate product recommendation quickly and with a reduced load on the server. Further, since the user has selected the first recommended product information 31b, there is a high possibility that the current preference is indicated, and a second recommendation reflecting the current preference can be made. In addition, by the device for displaying the second recommended product information in the balloon area 32 based on the user's terminal operation, there is a possibility that the user may want to see the other first recommended product information 31a, 31c, 31d, 31e in addition to the first recommended product information 31b. Becomes higher.

  In addition, the recommendation server 10 displays the second recommended product information 32a, 32b, and 32c in the balloon region 32 together with the first recommended product information 31b so that the balloon region 32 is displayed from the first recommended product information 31b. When generating the recommendation display information, the relationship between the first recommended product information 31b and the second recommended product information 32a, 32b, and 32c is easily understood by the user, the appeal of the product or service is increased, and the recommendation effect for the user is further increased. Can be improved. In addition, it becomes easier for the user to grasp the flow of the recommendation, the appealing power of the product or service is increased, and the recommendation effect for the user can be further improved.

  Moreover, the recommendation server 10 collects browsing history information as simple information stored in the user terminal 20, and based on the browsing history information such as the collected shop ID and item ID, the first recommended product information and the second recommended product. When information is extracted, the first recommended product information 31a, 31b, 31c, 31d, 31e and the second recommended product information 32a, 32b, 32c can be quickly provided to the user. The recommendation effect with respect to can be further improved. Moreover, when extracting 2nd recommendation product information based on the browsing history information memorize | stored in RAM of the memory | storage part 10b of an example of a browsing history memory | storage means, an elaborate product recommendation is promptly performed in the state which reduced the load of the server. It becomes possible.

  Based on the browsing history information collected in advance by the service providing servers 12 and 14, the recommendation server 10 extracts the second recommended product information and associates it with the product or service shop ID, item ID, user ID, etc. of the browsing history. Since the second recommended product information is stored in the database 11, the first recommended product information and the second recommended product information can be quickly provided to the user by the shop ID, the item ID, the user ID, and the like. Thus, the recommendation server 10 and the service providing servers 12 and 14 are linked.

  In addition, when the recommendation server 10 collects browsing history information of different domains browsed from the user terminal 20 in units of user terminals based on the user ID or the like, the browsing history information that is different for each domain is unified for the user. Since the first recommended product information and the second recommended product information can be provided based on the information, the appeal of the product or service is enhanced, and the recommendation effect for the user can be further improved.

  In addition, when the recommendation server 10 previously extracts the second recommended product information based on the user information, the second recommended product information can be further refined, the appeal of the product or service is increased, and the recommendation effect for the user is further improved. be able to.

  Further, the recommendation server 10 can quickly provide the second recommended product information to the user by storing the first recommended product information and the second recommended product information in advance in the database 11 in association with each other.

  In addition, when the recommendation server 10 stores the browsing history information of different domains in the cache of the storage unit 10b and then extracts the first recommended product information with reference to the cache, the state is reduced quickly and the load on the server is reduced This makes it possible to make elaborate product recommendations.

  The first recommended product information may be based not only on browsing history information but also on other user information such as behavior history. In this case, the recommendation server 10 can provide more detailed first recommended product information. Further, the first recommended product information and the second recommended product information may be moving images in addition to text data and still images.

  Furthermore, the present invention is not limited to the above embodiments. Each of the embodiments described above is an exemplification, and any configuration that has substantially the same configuration as the technical idea described in the claims of the present invention and has the same operational effects can be used. It is included in the technical scope of the present invention.

1: Recommendation system 10: Recommendation server ( information processing device)
10b: Storage unit (cache)
11: Database (product information storage means)
12, 14: Service providing server ( information processing apparatus)
20: User terminal

Claims (10)

A plurality of first product information related to a product or service displayed on the user terminal based on the user's action history information related to the product or service for which information is provided via the network, and displayed in a selectable manner on the user terminal First extraction means for extracting the first product information of
Based on the action history information of other users related to products or services for which information is provided via the network and the first product information, second product information related to products or services recommended to the user is obtained as the first product. A second extracting means for extracting each piece of information ;
Each time one of the plurality of first product information is selected by the user, the selected first product information is distinguished from other selectable first product information that has not been selected. together is displayed in a mode, the second commodity information corresponding in association with the selected one of said first product information to be displayed by the user terminal, transmitting means for transmitting said second product information,
An information processing apparatus comprising: A plurality of first product information related to a product or service displayed on the user terminal based on the user's action history information related to the product or service for which information is provided via the network, and displayed in a selectable manner on the user terminal. First extraction means for extracting the first product information of
Based on the action history information of other users related to products or services for which information is provided via the network and the first product information, second product information related to products or services recommended to the user is obtained as the first product. A second extracting means for extracting each piece of information ;
Each time one of the plurality of first product information is selected by the user, the selected first product information is displayed separately from the other unselected first product information, and the selection is made. Display in a display mode in which other first product information that has not been selected can be selected, and display the corresponding second product information in association with the selected first product information on the user terminal. Therefore, a transmitting means for transmitting the second product information;
An information processing apparatus comprising: The information processing apparatus according to claim 1 or 2 ,
In a state where the selected first product information and the other unselected first product information are displayed separately, the area where one of the other first product information is displayed is moused over. Thus , the information processing apparatus is characterized in that the first product information that has been moused over is selected . The information processing apparatus according to any one of claims 1 to 3,
The information processing apparatus, wherein the transmission means transmits second display information for displaying the second product information in a balloon area together with the first product information. The information processing apparatus according to any one of claims 1 to 4,
User information collecting means for collecting the action history information from the user terminal; and action history storage means for storing the action history information;
The user information collecting means collects the action history information stored in the user terminal;
The first extraction means extracts the first product information based on the collected action history information,
The information processing apparatus, wherein the second extraction unit extracts the second product information based on the action history information stored in the action history storage unit. The information processing apparatus according to claim 5,
The information processing apparatus, wherein the user information collection unit collects the action history information including browsing history information of different domains, which is browsed by the user from the user terminal, in units of the user terminals. The information processing apparatus according to claim 6,
An information processing apparatus, wherein after storing the action history information of a different domain in a cache, the first extraction unit extracts first product information with reference to the cache. The information processing apparatus according to any one of claims 1 to 7,
The information processing apparatus, wherein the second extraction unit extracts second product information based on user information. An information processing method for an information processing apparatus including a first extraction unit, a second extraction unit, and a transmission unit,
The first extraction means is first product information related to a product or service displayed on a user terminal based on user behavior history information related to the product or service for which information is provided via the network, and the user terminal A first extraction step of extracting a plurality of the first product information displayed in a selectable manner ;
The second extraction unit is configured to provide a second product or service recommended to the user based on the action history information of other users regarding the product or service for which information is provided via the network and the first product information. A second extraction step of extracting product information for each first product information ;
Each time the transmission means selects one of the plurality of first product information by the user, the selected first product information is not selected but can be selected other first product information. The second product information is transmitted in order to display the second product information corresponding to the selected one first product information on the user terminal. Sending step;
An information processing method characterized by comprising: Computer
A plurality of first product information related to a product or service displayed on the user terminal based on the user's action history information related to the product or service for which information is provided via the network, and displayed in a selectable manner on the user terminal. First extraction means for extracting the first product information of
Based on the action history information of other users related to products or services for which information is provided via the network and the first product information, second product information related to products or services recommended to the user is obtained as the first product. A second extracting means for extracting information , and
Each time one of the plurality of first product information is selected by the user, the selected first product information is distinguished from other selectable first product information that has not been selected. And display the second product information corresponding to the selected one first product information on the user terminal so as to function as a transmission unit that transmits the second product information. A program for an information processing apparatus.

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