INFORMATION PROVIDING SYSTEM

• US 20100023382A1
• Filed: 11/06/2007
• Published: 01/28/2010
• Est. Priority Date: 12/25/2006
• Status: Active Grant

• Current Assignee: Dai Nippon Printing Company Limited
• Original Assignee: Dai Nippon Printing Company Limited
• Inventors: Fushimi, Kazuo, Hamano, Tomohisa
• Granted Patent: US 8,433,595 B2
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06F 16/337 Profile generation, learning or modification
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data

Abstract

It is possible to accurately grasp the taste of each user and provide information in which the taste thereof is accurately reflected. Store information kept in a store information storage unit (100) is provided to each user. User taste information (T) including the values of taste on feature items of each genre is stored for each user in a user taste information storage unit (110). Store evaluation information (E) including the values of evaluation on the feature items of its genre is stored for each store in a store evaluation information storage unit (120). A store information providing unit (130) selects store information having the store evaluation information (E) matched with the user taste information (T) and provides it to the user. If the user views specific store information or utilizes a specific store, the specific store is recoded in a target store recording unit (150) as a target store. A taste value updating unit (140) updates the user taste information (T) on the basis of the store evaluation information (E) of the accumulated target store.

Claims

1. An information providing system, comprising:

a store information storage unit (100) in which store information regarding individual stores is stored;

a store evaluation information storage unit (120) in which store evaluation information (E) for the respective stores is stored, said store evaluation information (E) includes store IDs to specify the respective stores and evaluation values of the respective stores with respect to specified feature items defined in advance;

a user taste information storage unit (110) in which user taste information (T) for various users is stored, said user taste information (T) includes user IDs to specify the respective users and taste values of the respective users with respect to said feature items;

a store information providing unit (130) for providing store information when a provision request of store information coincident with a specified retrieval condition is received from a user, said store information providing unit (130) selecting store information coincident with the retrieval condition and suitable for the user, by comparing “

user taste information (T) of the user stored in the user taste information storage unit (110)”

with “

store evaluation information (E) with respect to various stores which is stored in the store evaluation information storage unit (120)”

, extracting the selected store information from the store information storage unit (100), and providing the extracted store information to a terminal device (10, 20, 30) of the user;

a target store recording unit (150) for, when a specified user has interest in a specified store, accumulating and recording, as a target store ID, a store ID of the specified store for the specified user; and

a taste value updating unit (140) for extracting, as updating store IDs, all or a part of target store IDs recorded in the target store recording unit (150) for the specified user, extracting the store evaluation information (E) including the updating store IDs from the store evaluation information storage unit (120) as updating store evaluation information, and updating taste values of the user taste information (T) for the specified user, which is stored in the user taste information storage unit (110), based on evaluation values of the updating store evaluation information.

2. The information providing system according to claim 1, further comprising:

a voting result recording unit (170) for accumulating and recording a voting result when a user votes a personal evaluation value with respect to feature items of a store; and

an evaluation value updating unit (160) for extracting all or a part of the voting results recorded in the voting result recording unit (170) for a specified store and updating evaluation values of store evaluation information (E) for the specified store, which is stored in the store evaluation information storage unit (120), based on the extracted voting results.

3. The information providing system according to claim 1, further comprising:

a personal satisfaction information recording unit (190) for, when a plurality of users utilize a specified store as a group, accumulating and recording personal satisfaction information including group composition information to specify users who compose the group, user IDs to specify individual users, and personal satisfaction degrees of the users; and

a satisfaction degree ratio calculating unit (180) for calculating a satisfaction degree ratio of respective users under a specified group utilization condition of “

a specified group utilizes a store”

based on all or a part of the personal satisfaction information recorded in the personal satisfaction information recording unit (190);

wherein the store information providing unit (130), when receiving a provision request of store information under the specified group utilization condition, extracts store information suitable for individual users pertaining to the specified group utilization condition, respectively, as candidates and selects and provides store information among the candidates in compliance with the satisfaction degree ratio under the specified group utilization condition.

8. The information providing system according to claim 1,

wherein the store information providing unit (130) has a function of transmitting Web content data to terminal devices (10, 20, 30) operated by users via the Internet (200), store information is stored in the store information storage unit (100) as Web content data, and a content ID to specify the Web content data is utilized as the store ID.

9. The information providing system according to claim 1, wherein

the store evaluation information storage unit (120) stores store evaluation information (E) including evaluation values for a plurality N of feature items, respectively, and

the user taste information storage unit (110) stores user taste information (T) including taste values for a plurality N of feature items, respectively,

wherein when the store information providing unit (130) receives a provision request of store information from a user, the store information providing unit (130) compares “

a taste vector obtained by placing the taste values for respective N feature items included in the user taste information (T) of the user in respective coordinate axes of an N-dimensional coordinate system”

with “

an evaluation vector obtained by placing the evaluation values for respective N feature items included in the store evaluation information (E) of respective stores in respective coordinate axes of the N-dimensional coordinate system” and

selects store information based on a degree of approximation of both vectors.

10. The information providing system according to claim 1,

wherein the store information providing unit (130) also provides evaluation values included in the store evaluation information (E) for a store with respect to store information when providing said store information.

11. The information providing system according to claim 1,

wherein the store information providing unit (130) carries out a first providing step for selecting a plurality of sets of store information coincident with a retrieval condition and suitable for a user and providing a list in which only summaries of respective selected store information is enumerated, and a second providing step for providing all the content of a set of store information of a store designated by the user on the list.

12. The information providing system according to claim 11,

wherein when the store information providing unit (130) executes the second providing step based on designation by a user, the target store recording unit (150) accumulates and records a store ID of a store a set of store information of which has been provided by the second providing step, as a target store ID for the user.

13. The information providing system according to claim 1,

wherein the target store recording unit (150) accumulates and records a store ID of a specified store as a target store ID for a user when the target store recording unit (150) receives a report that the user has interest in the specified store or a report that the specified user has utilized the specified store.

14. The information providing system according to claim 1, wherein

the store information providing unit (130) has a function of providing store information to a portable terminal device (10, 20) that a user carries, and

the target store recording unit (150) accumulates and records a store ID of a specified store as a target store ID for a user where it is detected based on information from a position recognition device having a function of recognizing a position of the portable terminal device (10, 20) that the user is located in the specified store.

15. The information providing system according to claim 1, wherein

the store information providing unit (130) has a function for providing store information to a portable terminal device (10, 20) that a user carries, and

where communications have been executed between a store installation unit installed in a predetermined store and the portable terminal device (10, 20), the target store recording unit (150) accumulates and records a store ID of the store as a target store ID for the user upon receiving a notice from the store installation unit or the portable terminal device (10, 20).

16. The information providing system according to claim 1, wherein

the target store recording unit (150) concurrently records recording time information when it records a target store ID, and

the taste value updating unit (140) extracts only those, the recording time of which is within a predetermined period, as updating store IDs among the target store IDs recorded in the target store recording unit (150).

17. The information providing system according to claim 1,

wherein the taste value updating unit (140) carries out updating in which an average value of the evaluation values of the updating store evaluation information are made into a new taste value of user taste information.

18. The information providing system according to claim 2, wherein

the voting result recording unit (170) concurrently records recording time information when it records a voting result, and

the evaluation value updating unit (160) updates evaluation values of store evaluation information by extracting only those, the recording time of which is within a predetermined period, among the voting results recorded in the voting result recording unit (170).

19. The information providing system according to claim 2, wherein the evaluation value updating unit (160) carries out updating in which the average values of the personal evaluation values included in the extracted voting results are made into new evaluation values of store evaluation information.

20. The information providing system according to claim 3, wherein

the personal satisfaction information recording unit (190) concurrently records recording time information when it records personal satisfaction information, and

the satisfaction degree ratio calculating unit (180) calculates a satisfaction degree ratio by utilizing only those, the recording time of which is within a predetermined period, among personal satisfaction information recorded in the personal satisfaction information recording unit (190).

21. The information providing system according to claim 3,

wherein the satisfaction degree ratio calculating unit (180) calculates, as a satisfaction degree ratio, a ratio of average values of personal satisfaction degrees for individual users included in the personal satisfaction information utilized for calculation.

22. The information providing system according to claim 3,

wherein the store information providing unit (130) selects sets of store information among candidates of store information extracted for individual users at a probability responsive to a direct ratio of satisfaction degrees of individual users or at a probability responsive to an inverse ratio of the satisfaction degrees of individual users.

4. An information providing system, comprising:

a store information storage unit (100) in which store information regarding individual stores is stored;

a store evaluation information storage unit (120) in which store evaluation information (E) for the respective stores is stored, said store evaluation information (E) includes store IDs to specify the respective stores, genre codes showing genres of the respective stores, and evaluation values of the respective stores with respect to specified feature items defined in advance;

a user taste information storage unit (110) in which user taste information (T) for various users is stored, said user taste information (T) includes user IDs to specify the respective users, the genre codes, and taste values of the respective users with respect to said feature items corresponding to the genre codes;

a store information providing unit (130) for providing store information when a provision request of store information coincident with a specified retrieval condition is received from a user, said store information providing unit (130) selecting store information coincident with the retrieval condition and suitable for the user, by comparing “

user taste information (T) of the user stored in the user taste information storage unit (110)”

with “

store evaluation information (E) which is stored in the store evaluation information storage unit (120)”

both including a same genre code, extracting the selected store information from the store information storage unit (100), and providing the extracted store information to a terminal device (10, 20, 30) of the user;

a target store recording unit (150) for, when a specified user has interest in a specified store, accumulating and recording, as a target store ID, a store ID of the specified store for the specified user and for each individual genre; and

a taste value updating unit (140) for extracting, as updating store IDs, “

target store IDs of all or a part of a predetermined genre which becomes an object to be updated”

recorded in the target store recording unit (150) for the specified user, extracting the store evaluation information (E) including the updating store IDs from the store evaluation information storage unit (120) as updating store evaluation information, and updating taste values of the user taste information (T) for the specified user regarding said genre to be updated, which is stored in the user taste information storage unit (110), based on evaluation values of the updating store evaluation information.

5. The information providing system according to claim 4, further comprising:

a voting result recording unit (170) for accumulating and recording a voting result for each individual store when a user votes a personal evaluation value with respect to feature items of a store; and

an evaluation value updating unit (160) for extracting all or a part of the voting results recorded in the voting result recording unit (170) for a specified store and updating evaluation values of store evaluation information (E) for the specified store, which is stored in the store evaluation information storage unit (120), based on the extracted voting results.

6. The information providing system according to claim 4, further comprising:

a personal satisfaction information recording unit (190) for, when a plurality of users utilize a specified store as a group, accumulating and recording personal satisfaction information including group composition information to specify users who compose the group, the genre of a store utilized by the group, user IDs to specify individual users, and personal satisfaction degrees of the users; and

a satisfaction degree ratio calculating unit (180) for calculating a satisfaction degree ratio of respective users under a specified group utilization condition of “

a specified group utilizes a specified genre of store”

based on the personal satisfaction information recorded in the personal satisfaction information recording unit (190);

wherein the store information providing unit (130), when receiving a provision request of store information under the specified group utilization condition, extracts store information suitable for individual users pertaining to the specified group utilization condition, respectively, as candidates and selects and provides store information among the candidates in compliance with the satisfaction degree ratio under the specified group utilization condition.

7. The information providing system according to claim 4, further comprising:

a behavior history information collecting unit (230) for collecting behavior history information when a specified user utilizes a specified store, said behavior history information including a user ID of the specified user, a genre code of the specified store, and utilization time;

a behavior history information storage unit (220) for storing the behavior history information thus collected; and

a succeeding genre prediction unit (210) for predicting a genre having a high possibility to be utilized subsequently after the specified user utilized a certain genre, based on the behavior history information;

wherein the store information providing unit (130) provides additional information along with main store information responsive to a provision request from the specified user, said additional information being store information pertaining to a succeeding genre which succeeds to a genre of said main store information and is obtained by utilizing a prediction result of the succeeding genre prediction unit (210).