JP4934154B2 - Content providing device - Google Patents

Description

  The present invention relates to a technique for providing contents such as text (character string) and images to a user terminal such as a portable terminal via a network such as the Internet.

  Portal sites, which are huge websites that serve as the entrance to the Internet, use search engines and links as a core, provide information services such as news and stock prices, Web mail services that can be used from browsers, electronic bulletin boards, chats, etc. As a general rule, it provides a function that is required free of charge, and earns income through advertising and electronic commerce brokerage services. Therefore, it is important for business to promote the use of services by providing services desirable for users.

  Already in the news service, for a certain news article, there is a column that "the person who is reading this article also reads this article", and the article that the user who read the news article tends to browse elsewhere A service that promotes the browsing of news articles is provided. A similar service is also provided in the shopping service.

  On the other hand, in Patent Literature 1, content that is used by a similar user having preference information similar to the recommendation target user and is not yet used by the recommendation target user (unused content) is recommended to the recommendation target user. The technique made to do is disclosed.

JP 2003-167901 A

  The recommendation of other news articles in the news service mentioned above and the same recommendation in the shopping service are effective in promoting the user's use of the service. The target of recommending information is limited to within the same service range, and there is a problem that it is not possible to develop the user's interest to a wider range and further promote the use of the service.

  In addition, it is often the case that you want to read the original news article etc. and further investigate the items etc. that appear in it in other services, but after moving to another service, enter the same keyword There is a problem that the search must be repeated and the operation becomes complicated. In particular, the tendency is remarkable in a mobile terminal with poor operability such as character input, and since it is complicated, it is often abandoned to check on the way.

  On the other hand, in the technique of Patent Document 1, if an unused content includes a category of a different category, it may be recommended as a result. However, since the unused content is simply picked up and provided, there is a case where the recommendation target user recommends content not related to the content viewed so far, and the user's interest There was a problem that the subject could not be developed.

  The present invention has been proposed in view of the above-described conventional problems, and an object of the present invention is to be able to recommend content related between different types of services around the content that the user is currently browsing. It is to provide a content providing apparatus.

  In order to solve the above problems, according to the present invention, as described in claim 1, when a page browsing request specifying content is received from a user terminal, the corresponding main content is acquired from the content database. Content acquisition means for acquiring the characteristic word included in the main content, and extracting the related content including the characteristic word for each service from a content database classified in advance for each service; Similar user usage history totaling means for extracting similar users using the main content from a user history information database stored in advance in association with content and user identifiers, and totaling usage history for each similar user, and the usage history Based on the aggregated results, the relations extracted for each service Extracted content filtering means for counting the number of usages of the similar user for each content and determining the content of the upper predetermined order based on the number of usages, and page data in which a link to the determined content is associated with the main content The gist of the present invention is a content providing apparatus including a page generation unit that generates a page and a page transmission unit that transmits the generated page data to the user terminal.

  According to a second aspect of the present invention, a content acquisition step of acquiring a corresponding main content from a content database when receiving a page browsing request designating content from a user terminal, and a feature included in the main content A user who acquires a word and extracts related content including the characteristic word for each service from a content database classified in advance for each service, and a user stored in advance in association with the content and the user identifier A similar user usage history totaling step that extracts similar users using the main content from the historical information database and totals the usage history for each similar user, and extracted for each service based on the totalization result of the usage history The number of similar users used for each related content And an extracted content filtering step for determining content in a higher predetermined order based on the number of uses, and a page generation step for generating page data in which a link to the determined content is associated with the main content. And a page transmission step of transmitting the page data to the user terminal.

  In addition, as described in claim 3, when the computer constituting the content providing apparatus receives a page browsing request designating the content from the user terminal, the content acquiring unit acquires the corresponding main content from the content database. , A heterogeneous service related content extracting means for acquiring a feature word included in the main content and extracting a related content including the feature word for each service from a content database classified in advance for each service, a content and user identifier in advance Similar user usage history totaling means for extracting similar users using the main content from the user history information database stored in association with each other, and totaling the usage history for each similar user, based on the totalization result of the usage history, Associations extracted for each service Extracted content filtering means for counting the number of usages of the similar users for each content and determining the content of the upper predetermined order based on the number of usages, page data relating the link to the determined content to the main content It can be configured as a content providing control program that functions as a page generating means for generating and a page transmitting means for transmitting the generated page data to the user terminal.

  In the content providing apparatus of the present invention, it is possible to recommend content related to different types of services around the content currently being browsed by the user, and to promote the use of the service by the user.

It is a figure which shows the structural example of the system concerning one Embodiment of this invention. It is a figure which shows the hardware structural example of a content provision apparatus. It is a figure (the 1) which shows the example of a data structure of the content database classified by service. It is a figure (the 2) which shows the example of a data structure of the content database classified by service. It is a figure which shows the example of a data structure of a user history information database. It is a sequence diagram (the 1) which shows the process example of embodiment. It is a flowchart which shows the process example of the different service related content extraction in a different service related content extraction part. It is a figure which shows the example of lists, such as content ID which a heterogeneous service related content extraction part hold | maintains. It is a flowchart which shows the process example of the similar user utilization log | history total in a similar user utilization log | history total part. It is a figure which shows the example of the total result which a similar user utilization log | history total part hold | maintains. It is a flowchart which shows the example of a process of filtering in an extraction content filtering part. It is a figure which shows the example of totalization of the usage number in an extraction content filtering part. It is a figure which shows the example of the content ID list which an extraction content filtering part hold | maintains. FIG. 6 is a diagram (part 1) illustrating an example of a generated page. FIG. 10 is a second diagram illustrating an example of a generated page. It is a sequence diagram (the 2) which shows the process example of embodiment.

  Hereinafter, preferred embodiments of the present invention will be described.

<Configuration>
FIG. 1 is a diagram showing a configuration example of a system according to an embodiment of the present invention.

  In FIG. 1, a plurality of user terminals 3 such as mobile phones and PDAs (Portable Digital Assistants) operated by a user are connected to a network 1 such as the Internet via a base station 2. The user terminal 3 includes a general browser (Web browser) 31. The browser 31 performs request / acquisition / display of page data described in a language such as HTML (Hyper Text Markup Language), transmission of form data, and the like according to HTTP (Hyper Text Transfer Protocol) which is a standard protocol of the Internet. It has a function.

  On the other hand, a content providing device 4 that provides content such as text and images in response to a page browsing request (page display request) from the browser 31 of the user terminal 3 operated by the user is connected to the network 1.

  The content providing apparatus 4 includes, as functional units, a request receiving unit 41, a content acquisition unit 42, a content usage history management unit 43, a heterogeneous service related content extraction unit 44, a similar user usage history totaling unit 45, an extracted content filtering unit 46, and a page. A generation unit 47 and a page transmission unit 48 are provided. These functional units are realized by a computer program executed on hardware resources such as a CPU (Central Processing Unit), a ROM (Read Only Memory), and a RAM (Random Access Memory) of the computer constituting the content providing apparatus 4. Is. These functional units do not need to be arranged on a single computer, and may be distributed as necessary.

  In addition, a service-specific content database 51 and a user history information database 52 are provided as databases referred to by the content providing apparatus 4. These databases systematically hold predetermined data on a storage medium such as an HDD (Hard Disk Drive) in a computer that holds each database.

  The request receiving unit 41 receives a page display request or the like from the browser 31 of the user terminal 3, and when receiving the page display request, delivers the content ID, the user estimated ID, and the reply IP address to the next content acquisition unit 42. When the recommended page display request is received, the content ID and the reply IP address are delivered to the heterogeneous service related content extracting unit 44. The page display request is a request to display a content browsing page. The recommendation page display request is a request to display a recommendation page, which is performed by clicking a link such as “view other” on the content browsing page. The content ID is an identifier for specifying the content. The user estimated ID is a user ID of a logged-in user or an identifier that distinguishes a user who uses a predetermined browser. The reply IP address is a destination to which the data of the browsing page or the recommendation page is returned.

  The content acquisition unit 42 acquires content data from the service-specific content database 51 based on the content ID passed from the request reception unit 41, and delivers the content ID and the user estimated ID to the content usage history management unit 43 in the next stage. The content data, the content ID, and the reply IP address are delivered to the page generation unit 47, and when the browsing page and the recommended page (recommendation column) are generated at the same time, the content ID is delivered to the heterogeneous service related content extraction unit 44. ing.

  The content usage history management unit 43 has a function of registering a usage history in the user history information database 52 based on the content ID and the user estimated ID passed from the content acquisition unit 42.

  The heterogeneous service related content extraction unit 44 extracts the related content in the heterogeneous service from the service-specific content database 51 based on the content ID passed from the content acquisition unit 42 or the request reception unit 41, and includes the content ID and the related content It has a function of delivering a list of content IDs and a reply IP address to the similar user usage history totaling unit 45 in the next stage as necessary.

  The similar user usage history totaling unit 45 extracts similar users having similar interests and preferences from the user history information database 52 based on the content ID passed from the heterogeneous service related content extracting unit 44 and includes the similar user usage history totaling unit 45 in the content ID list. For each related content, the usage history of similar users is totaled, and the totaled result is passed to the extracted content filtering unit 46 in the next stage.

  The extracted content filtering unit 46 performs filtering of related content based on the usage history totals passed from the similar user usage history totaling unit 45, and finally includes a content ID list including the finally determined related content. Accordingly, it has a function of delivering the reply IP address to the page generation unit 47 in the next stage.

  When the page generation unit 47 generates the browsing page and the recommendation page (recommendation column) at the same time, based on the content data passed from the content acquisition unit 42 and the content ID list passed from the extracted content filtering unit 46, It has a function of generating page data to be provided to the browser 31 of the user terminal 3 and delivering it to the next page transmission unit 48. When the browsing page is generated independently, the page data to be provided to the browser 31 of the user terminal 3 is generated based on the content data passed from the content acquisition unit 42 and delivered to the next page transmission unit 48. Have. When a recommended page (recommendation column) is generated independently, page data to be provided to the browser 31 of the user terminal 3 is generated based on the content ID list passed from the extracted content filtering unit 46, and the next page transmission is performed. It has a function of handing over to the part 48.

  The page transmission unit 48 has a function of transmitting the page data passed from the page generation unit 47 to the browser 31 of the user terminal 3 based on the return IP address similarly passed from the page generation unit 47.

  FIG. 2 is a diagram illustrating a hardware configuration example of the content providing apparatus 4.

  In FIG. 2, the content providing apparatus 4 is connected to a CPU 402, ROM 403, RAM 404, NVRAM (Non-Volatile Random Access Memory) 405, I / F (Interface) 406, and I / F 406 connected to a system bus 401. A keyboard, mouse, monitor, CD / DVD (Compact Disk / Digital Versatile Disk) drive I / O (Input / Output Device) 407, HDD 408, NIC (Network Interface Card) 409, and the like. M is a medium (recording medium) such as a CD / DVD in which a program or data is stored.

  3 and 4 are diagrams showing examples of the data structure of the service-specific content database 51. FIG. 3 (a) shows an example of the service-specific content database 51A for news genre A, and FIG. 3 (b) shows a blog. FIG. 3C shows an example of the service-specific content database 51C for the video cast genre C, and FIG. 4D shows the example of the auction genre D. An example of the service-specific content database 51D is shown, and FIG. 4E shows an example of the service-specific content database 51E for the genre E of the test.

  The service-specific content database 51 (51A to 51E) includes a “content identification information” column, a “characteristic word” column, and a “content body” column. The “content identification information” column includes an “ID” column corresponding to the content ID and a “title” column corresponding to the title of the article. In the “feature word” column, keywords previously extracted from the corresponding content (mainly text) are stored. The “content body” column stores content data itself or reference information indicating a storage location of the content data.

  FIG. 5 is a diagram showing an example of the data structure of the user history information database 52. The user history information database 52 includes a “user estimated ID” column and a “genre-based content usage history” column. In the “user estimated ID” column, a user ID of a login user or an identifier for identifying a user who uses a predetermined browser is recorded. In the “genre-specific content use history” column, the used content ID for each genre used by the user is recorded in association with the user estimated ID.

<Operation>
FIG. 6 is a sequence diagram showing a processing example of the above embodiment.

  In FIG. 6, when the user performs a mouse click or the like of a link such as a news article title from a browsing page (portal site top page, search result page, etc.), a page display request accompanied by a content ID is sent to the browser 31 of the user terminal 3. Is transmitted to the request receiving unit 41 of the content providing apparatus 4 (step S101). In the page display request, a message including a GET method according to HTTP, which is a standard protocol of the Internet, a request URI (Uniform Resource Indicator), and the like is transmitted from the browser 31 of the user terminal 3 to the request receiving unit 41 of the content providing apparatus 4. This is done.

  At this time, a cookie for distinguishing a session held in the browser 31 is read at the same time as the page display request or by a request from the request receiving unit 41. This cookie includes information that can specify the user ID of the logged-in user when the user has logged in in advance, but even if the user is not logged in, the browser 31 can not identify the individual. The information which can specify that it is the user who browsed by is contained. Instead of using a cookie, the session may be managed by embedding session information in the URL.

  Next, the request reception unit 41 hands over the content ID included in the page display request, the user estimated ID acquired from the cookie, and the reply IP address based on the transmission source address of the page display request to the content acquisition unit 42 ( Step S102). Since the delivery of these data is communication within the content providing apparatus 4, it can be in any format.

  Next, the content acquisition unit 42 acquires the corresponding content data from the service-specific content database 51 based on the content ID passed from the request reception unit 41 (step S103). A command according to SQL (Structured Query Language) or the like is used to acquire the content data.

  If the content ID indicates a news article, the “ID” field is searched using the content ID as a key from the service-specific content database 51A of genre A shown in FIG. 3A, and the corresponding “content body” field is searched. Get the data. When the content data is directly stored in the “content body” column, the acquisition of the content data is completed, and when the reference is stored, the content data is acquired from the storage location indicated by the reference. The content data acquired here will be referred to as main content data or main content.

  Returning to FIG. 6, the content acquisition unit 42 delivers the content ID and the user estimation ID passed from the request reception unit 41 to the content usage history management unit 43 (step S <b> 104). Since the delivery of these data is communication within the content providing apparatus 4, it can be in any format.

  Next, the content usage history management unit 43 registers the usage history in the user history information database 52 based on the content ID and the user estimation ID passed from the content acquisition unit 42 (step S105). That is, the content usage history management unit 43 searches whether or not a user estimated ID corresponding to the “user estimated ID” column of the user history information database 52 (FIG. 5) already exists. And the content ID is recorded in the corresponding genre field in the “genre-specific content usage history” field. When a user estimated ID corresponding to the “user estimated ID” column of the user history information database 52 already exists, the content ID is recorded in the corresponding genre column of the “genre-specific content usage history” column of the entry. A command according to SQL or the like is used for registration of the usage history.

  In addition, the content acquisition unit 42 delivers the acquired main content data, content ID, and reply IP address to the page generation unit 47 (step S106), and delivers the content ID to the heterogeneous service related content extraction unit 44 (step S107). Since the delivery of these data is communication within the content providing apparatus 4, it can be in any format.

  Next, the heterogeneous service-related content extracting unit 44 searches the service-specific content database 51 based on the content ID passed from the content acquisition unit 42 to acquire a feature word, and based on the feature word, separate service-specific content for other genres. The content database 51 is searched and related content is extracted (step S108). A command according to SQL or the like is used to extract related contents.

  FIG. 7 is a flowchart showing an example of processing for extracting different service related contents in the different service related content extracting unit 44.

  In FIG. 7, when the heterogeneous service-related content extraction unit 44 starts the processing (step S41), the feature word of the main content to be requested is obtained from the service-specific content database 51 based on the content ID passed from the content acquisition unit 42. Obtain (step S42). For example, if the content ID is “A1” belonging to the genre A (news article), the “ID” column is set using the content ID “A1” as a key from the service-specific content database 51A of the genre A shown in FIG. Search is performed, and “magazine X” and “AB” are acquired from the “feature word” column corresponding to the hit entry. Note that a feature word may be extracted from the text portion of the content data each time. In this case, the “feature word” column is not required in the service-specific content database 51.

  Next, returning to FIG. 7, the heterogeneous service related content extraction unit 44 extracts the content ID and title of the related content corresponding to the acquired feature word for each genre other than the genre to which the main content belongs from the service-specific content database 51. (Step S43). Now, assuming that the feature words “Magazine X” and “AB” are acquired from the content ID “A1”, these feature words “Magazine X” and “AB” are used as a key, and FIG. 3B, FIG. Search the “feature word” column of the service-specific content databases 51B to 51E of the other genres B to E shown in (d) and (e), and extract the content ID from the corresponding “ID” column of the hit entry, Get the title from the “Title” column. For example, content IDs “B1”, “B2”, and the like, titles “Weekly Magazine X”, “Brand Presentation”, and the like are extracted from the service-specific content database 51B of FIG.

  Next, returning to FIG. 7, the heterogeneous service-related content extraction unit 44 excludes content that is already used by the target user (step S44). That is, the content ID recorded as the usage history of the target user is acquired from the user history information database 52 based on the user estimated ID, and if there is a content ID that already matches the content ID, it is deleted from the related content. After these processes, the heterogeneous service related content extraction unit 44 ends the heterogeneous service related content extraction process (step S45).

  FIG. 8 is a diagram showing an example of a content ID list held by the heterogeneous service related content extraction unit 44. “B1”, “B2”, “B7”, “B11”, and “B17” are extracted from the genre B, and the genre C “C1,” “C2,” “C15,” “C22” are extracted from the genre D, “D1,” “D2,” “D9” are extracted from the genre D, and “E1,” “E2,” “E25,” “E31” are extracted from the genre E. “E40” is extracted.

  Returning to FIG. 6, the heterogeneous service-related content extraction unit 44 delivers the content ID passed from the content acquisition unit 42 and the list of content IDs including the extracted content ID to the similar user usage history totaling unit 45 (step S109). . Since the delivery of these data is communication within the content providing apparatus 4, it can be in any format.

  Next, the similar user usage history totaling unit 45 searches the user history information database 52 based on the content ID passed from the heterogeneous service related content extracting unit 44 and uses other users (similar to the similar content) specified by the content ID. After identifying the user's estimated user ID, the usage history is acquired, and the usage history is tabulated for each similar user for each related content in the list such as the content ID (step S110). A command in accordance with SQL or the like is used to count usage histories.

  FIG. 9 is a flowchart showing a processing example of similar user usage history totaling in the similar user usage history totaling unit 45.

  In FIG. 9, when the similar user usage history totaling unit 45 starts processing (step S51), based on the content ID passed from the heterogeneous service related content extracting unit 44, the main content to be requested is retrieved from the user history information database 52. User estimation IDs and usage histories of users having similar usage history (similar users) are extracted (step S52). For example, if the content ID is “A1” belonging to the genre A (news article), the “genre” in the “genre-specific content usage history” column is used from the user history information database 52 shown in FIG. 5 with the content ID “A1” as a key. “A” column is searched, “User # 1”, “User # 2”, “User # 4”, etc. are identified from the corresponding “User Estimated ID” column of the hit entry, and the corresponding usage history “B1, B2, C1” , C2, D1, D2, E1, E2 "," B2, C2, D2, E1 "," B1, B2, C1, D1, D2, E2 ", and the like.

  Next, returning to FIG. 9, the similar user usage history totaling unit 45 totals the usage history for each similar user for each genre for the related content in the content ID list passed from the different service related content extracting unit 44 (step). S53). After these processes, the similar user usage history totaling unit 45 ends the similar user usage history totaling process (step S54).

  FIG. 10 is a diagram illustrating an example of a totaling result held by the similar user usage history totaling unit 45, and illustrates an example of a totaling result for the genre B. Here, “user # 1”, “user # 2”, “user # 4”, “user # 8”, “user # 14”, and the like are extracted as similar users, and related contents “B1” “B2” “B7” “B11”. Whether or not “B17” has been used by each user is recorded.

  Returning to FIG. 6, the similar user usage history totaling unit 45 delivers the usage history totaling result to the extracted content filtering unit 46 (step S111). Since this data transfer is communication within the content providing apparatus 4, it can be in any format.

  Next, the extracted content filtering unit 46 performs filtering of related content based on the usage history aggregation result passed from the similar user usage history aggregation unit 45 (step S112).

  FIG. 11 is a flowchart showing an example of filtering processing in the extracted content filtering unit 46.

  In FIG. 11, when the extracted content filtering unit 46 starts processing (step S 61), the number of similar users used for each related content is totaled based on the result of the usage history passed from the similar user usage history totaling unit 45. (Step S62). FIG. 12 is a diagram illustrating an example of totaling the number of uses in the extracted content filtering unit 46, and is an example of the genre B. The number of uses of the related content “B1” is “3” and the use of the related content “B2”. The number is “4”, the number of uses of the related content “B7” is “1”, the number of uses of the related content “B11” is “1”, and the number of uses of the related content “B17” is “1”.

  Next, returning to FIG. 11, the extracted content filtering unit 46 determines the rank based on the number of uses between related contents (step S63). In the example of FIG. 12, the order of the related content “B2” → “B1” → “B7” “B11” “B17” is obtained.

  Next, returning to FIG. 11, the extracted content filtering unit 46 determines the related content in the upper predetermined order (for example, the first and second highest ranks) as the recommended content (step S64). In the example of FIG. 12, related content “B1” and “B2” are determined as recommended content.

  After these processes, the extracted content filtering unit 46 ends the filtering process (step S65).

  FIG. 13 is a diagram illustrating an example of a content ID list held by the extracted content filtering unit 46. Content IDs “B1” and “B2” for genre B, content IDs “C1” and “C2” for genre C, and content for genre D IDs “D1” and “D2” and genre E content IDs “E1” and “E2” are included.

  Returning to FIG. 6, the extracted content filtering unit 46 passes the determined content ID list to the page generation unit 47 (step S113). Since this data transfer is communication within the content providing apparatus 4, it can be in any format.

  Next, the page generation unit 47 includes the main content based on the main content data already passed from the content acquisition unit 42 and the content ID list passed from the extracted content filtering unit 46, and each of the content ID lists Page data including a recommendation column listing title titles that are links to the content indicated by the content ID is generated (step S114). The page data is described in HTML or the like.

  FIG. 14 is a diagram showing an example of a page to be generated. In one page, a page area PA1 in which main content is arranged, and a title mark that becomes a link to the content indicated by each content ID in the content ID list. This is an example in the case of providing the arranged page area PA2.

  FIG. 15 is a diagram showing an example of another page to be generated. The main content is arranged on the first page P1, and each content of the content ID list is displayed by a “view other” button or the like on the page P1. This is an example of moving to a second page P2 as a recommended page in which title marks serving as links to contents indicated by IDs are arranged.

  The main content page area PA1 shown in FIG. 14 or the main content page P1 shown in FIG. 15 includes a conventional column “A person reading this article also reads this article”. May be provided.

  Returning to FIG. 6, the page generation unit 47 delivers the generated page data and the reply IP address to the page transmission unit 48 (step S115). Since the delivery of these data is communication within the content providing apparatus 4, it can be in any format.

  Next, the page transmission unit 48 transmits the page data delivered from the page generation unit 47 with the return IP address delivered from the page generation unit 47 as a destination (step S116). The page data is transmitted from the page transmission unit 48 to the browser 31 of the user terminal 3 according to an HTTP response or the like.

  The browser 31 of the user terminal 3 displays the received page data (step S117). The display screen is as shown in FIG.

  Thereafter, the user of the user terminal 3 selects a desired article from the recommendation column of the page by clicking the mouse or the like, and the processing in that case is also performed in the same manner as steps S101 to S117 in FIG.

  FIG. 16 is a sequence diagram showing another processing example of the above-described embodiment. When the main content page data is generated first and then a recommended page display request (recommended page display request) is received, the recommended page is displayed. This is an example of processing when the page data is generated.

  In FIG. 16, when the user performs a mouse click on a link such as a news article title from a browsing page (portal site top page, search result page, etc.), a page display request accompanied by a content ID is sent to the browser 31 of the user terminal 3. To the request receiving unit 41 of the content providing apparatus 4 (step S201). At this time, a cookie for distinguishing a session held in the browser 31 is read at the same time as the page display request or by a request from the request receiving unit 41.

  Next, the request reception unit 41 hands over the content ID included in the page display request, the user estimated ID acquired from the cookie, and the reply IP address based on the transmission source address of the page display request to the content acquisition unit 42 ( Step S202).

  Next, the content acquisition unit 42 acquires the corresponding content data from the service-specific content database 51 based on the content ID passed from the request reception unit 41 (step S203).

  Next, the content acquisition unit 42 hands over the content ID and the user estimated ID passed from the request reception unit 41 to the content usage history management unit 43 (step S204).

  Next, the content usage history management unit 43 registers the usage history in the user history information database 52 based on the content ID and the user estimation ID passed from the content acquisition unit 42 (step S205).

  Next, the content acquisition unit 42 delivers the acquired main content data, content ID, and reply IP address to the page generation unit 47 (step S206).

  Next, the page generation unit 47 generates page data including the main content based on the main content data passed from the content acquisition unit 42 (step S207).

  Next, the page generation unit 47 delivers the generated page data and reply IP address to the page transmission unit 48 (step S208).

  Next, the page transmission unit 48 transmits the page data delivered from the page generation unit 47 with the return IP address delivered from the page generation unit 47 as a destination (step S209).

  The browser 31 of the user terminal 3 displays the received page data (step S210). The display screen has a format as shown as page P1 in FIG.

  Thereafter, the user of the user terminal 3 selects a “view other” button or the like from the main content page by clicking a mouse or the like, so that a recommended page display request with a content ID is provided from the browser 31 of the user terminal 3. It is transmitted to the request receiving unit 41 of the device 4 (step S211).

  Next, the request receiving unit 41 delivers the content ID included in the recommended page display request and the reply IP address based on the transmission source address of the recommended page display request to the heterogeneous service related content extracting unit 44 (step S212).

  Next, the heterogeneous service related content extracting unit 44 searches the service-specific content database 51 based on the content ID passed from the request receiving unit 41, and extracts related content based on the feature word (step S213).

  Next, the heterogeneous service-related content extracting unit 44 uses the content ID passed from the request receiving unit 41, the list of content IDs including the extracted content ID, and the reply IP address passed from the request receiving unit 41 as similar users. It is handed over to the usage history totaling unit 45 (step S214).

  Next, the similar user usage history totaling unit 45 searches the user history information database 52 based on the content ID passed from the heterogeneous service related content extracting unit 44 and uses other users (similar to the similar content) specified by the content ID. User usage history is tabulated (step S215).

  Next, the similar user usage history totaling unit 45 delivers the usage history totaling result and the reply IP address to the extracted content filtering unit 46 (step S216).

  Next, the extracted content filtering unit 46 performs filtering of the related content based on the usage history aggregation result passed from the similar user usage history aggregation unit 45 (step S217).

  Next, the extracted content filtering unit 46 delivers the determined content ID list and reply IP address to the page generation unit 47 (step S218).

  Next, the page generation unit 47 includes a recommendation column that lists title marks that are links to the content indicated by the individual content IDs of the content ID list based on the content ID list passed from the extracted content filtering unit 46. Data is generated (step S219).

  Next, the page generation unit 47 delivers the generated page data and reply IP address to the page transmission unit 48 (step S220).

  Next, the page transmission unit 48 transmits the page data delivered from the page generation unit 47 with the return IP address delivered from the page generation unit 47 as a destination (step S221).

  The browser 31 of the user terminal 3 displays the received page data (step S222). The display screen has a format as shown on page P2 in FIG.

  Thereafter, the user of the user terminal 3 selects a desired article from the recommendation column of the page by clicking the mouse or the like, and the processing in that case is also performed in the same manner as steps S201 to S222 in FIG.

<Summary>
As described above, according to the present embodiment, there are the following advantages.
(1) Since it is possible to extend the recommendation target to different services beyond the same type of service, focusing on browsing one page, the user's interest in a certain page is directly promoted to various services It is possible to comprehensively support the user's use of the service.
(2) The user can move to each of the various services, input the same keyword, and save the trouble of searching, and the operability is improved. In particular, a mobile terminal is preferable because it requires simpler operations than a fixed personal computer.

  The present invention has been described above by the preferred embodiments of the present invention. While the invention has been described with reference to specific embodiments, various modifications and changes may be made to the embodiments without departing from the broad spirit and scope of the invention as defined in the claims. Obviously you can. In other words, the present invention should not be construed as being limited by the details of the specific examples and the accompanying drawings.

DESCRIPTION OF SYMBOLS 1 Network 2 Base station 3 User terminal 31 Browser 4 Content provision apparatus 41 Request receiving part 42 Content acquisition part 43 Content utilization history management part 44 Heterogeneous service related content extraction part 45 Similar user utilization history totaling part 46 Extracted content filtering part 47 Generation of pages Unit 48 Page transmission unit 51, 51A to 51E Content database by service 52 User history information database

Claims (3)

Content acquisition means for acquiring the corresponding main content from the content database when receiving a page browsing request specifying the content from the user terminal;
Heterogeneous service related content extracting means for acquiring a feature word included in the main content and extracting related content including the feature word for each service from a content database classified in advance for each service;
Similar user usage history totaling means for extracting similar users using the main content from a user history information database stored in advance in association with content and user identifiers, and totaling the usage history for each similar user;
An extracted content filtering means for totaling the number of usages of the similar user for each related content extracted for each service based on the totalization result of the usage history, and determining content of a higher predetermined order based on the number of the usage numbers; ,
Page generation means for generating page data in which a link to the determined content is associated with the main content;
A content providing apparatus comprising: page transmission means for transmitting the generated page data to the user terminal. A content acquisition step of acquiring the corresponding main content from the content database when receiving a page browsing request specifying the content from the user terminal;
A heterogeneous service related content extracting step of acquiring a feature word included in the main content and extracting related content including the feature word for each service from a content database classified in advance for each service;
A similar user usage history totaling step of extracting similar users using the main content from a user history information database stored in association with content and user identifiers in advance, and totaling the usage history for each similar user;
An extracted content filtering step of summing up the number of usages of the similar user for each related content extracted for each of the services based on the result of the usage history, and determining a content with a higher predetermined order based on the number of the usage numbers; ,
A page generation step of generating page data in which a link to the determined content is associated with the main content;
A content provision control method, comprising: a page transmission step of transmitting the generated page data to the user terminal. A computer constituting the content providing apparatus;
Content acquisition means for acquiring the corresponding main content from the content database when a page browsing request specifying the content is received from the user terminal;
A heterogeneous service related content extracting means for acquiring a characteristic word included in the main content and extracting related content including the characteristic word for each service from a content database classified in advance for each service;
Similar user usage history totaling means for extracting similar users using the main content from a user history information database stored in advance in association with content and user identifiers, and totaling the usage history for each similar user,
Extracted content filtering means for totaling the number of usages of the similar user for each related content extracted for each service based on the totalization result of the usage history, and determining the content of the upper predetermined order based on the number of the usage numbers;
Page generation means for generating page data in which a link to the determined content is associated with the main content;
A content provision control program that causes generated page data to function as page transmission means for transmitting to the user terminal.

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