Interestingness recommendations in a computing advice facility

• US 9,443,199 B2
• Filed: 01/29/2015
• Issued: 09/13/2016
• Est. Priority Date: 11/02/2007
• Status: Active Grant

• Current Assignee: eBay Inc.
• Original Assignee: eBay Inc.
• Inventors: Pinckney, Thomas, Dixon, Christopher, Gattis, Matthew Ryan
• Primary Examiner(s): Holmes, Michael B
• Application Number:
  US14/609,267
• Publication Number:
  US 20150142711A1
• Time in Patent Office: 593 Days
• Field of Search: 706/12
• US Class Current: 1/1
• CPC Class Codes: G06F 16/2457 with adaptation to user needs
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 5/048 Fuzzy inferencing
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

The present disclosure provides a recommendation to a user through a computer-based advice facility, comprising collecting topical information, wherein the collected topical information includes an interestingness aspect; filtering the collected topical information based on the interestingness aspect; determining an interestingness rating from the collected topical information, wherein the determining is through the computer-based advice facility; and providing a user with the recommendation related to the topical information based on the interestingness rating.

Claims

1. A computer-implemented method comprising:

accessing user preference profile information identifying one or more preferences of a user;

accessing user history information identifying one or more content items previously accessed by the user;

determining that a particular content item includes features matching the preferences identified in the user preference profile information;

determining that the particular content item is dissimilar to the content items identified in the user history information;

determining that the particular content item is relevant to the user based on the determination that the particular content item includes features matching the preferences identified in the user preference profile information and the determination that the particular content item is dissimilar to the content items identified in the user history information; and

providing the particular content item to the user, based on the determination that the particular content item is relevant to the user.

2. The method of claim 1, further comprising:

determining that a second content item includes features matching the preferences identified in the user preference profile information;

determining that the second content item is similar to the content items identified in the user history information;

determining that the second content item is not relevant to the user based on the determination that the second content item is similar to the content items identified in the user history information; and

preventing a recommendation for the second content item from being provided to the user, based on the determination that the second content item is not relevant to the user.

3. The method of claim 1, further comprising:

determining a current location associated with the user; and

determining that the particular content item is associated with location context information matching the current location of the user.

4. The method of claim 1, wherein the particular content item is a recommendation for at least one of a product and a service.

5. The method of claim 1, wherein the particular content item is a search result.

6. The method of claim 1, wherein the particular content item is an advertisement.

7. The method of claim 1, wherein the particular content item is a review of a product or service.

8. A non-transitory machine-readable storage medium comprising instructions that, when executed by one or more processors of a machine, cause the machine to perform operations comprising:

accessing user preference profile information identifying one or more preferences of a user;

accessing user history information identifying one or more content items previously accessed by the user;

determining that a particular content item includes features matching the preferences identified in the user preference profile information;

determining that the particular content item is dissimilar to the content items identified in the user history information;

determining that the particular content item is relevant to the user based on the determination that the particular content item includes features matching the preferences identified in the user preference profile information and the determination that the particular content item is dissimilar to the content items identified in the user history information; and

providing the particular content item to the user, based on the determination that the particular content item is relevant to the user.

9. The storage medium of claim 8, wherein the operations further comprise:

determining that a second content item includes features matching the preferences identified in the user preference profile information;

determining that the second content item is similar to the content items identified in the user history information;

determining that the second content item is not relevant to the user based on the determination that the second content item is similar to the content items identified in the user history information; and

preventing a recommendation for the second content item from being provided to the user, based on the determination that the second content item is not relevant to the user.

10. The storage medium of claim 8, wherein the operations further comprise:

determining a current location associated with the user; and

determining that the particular content item is associated with location context information matching the current location of the user.

11. The storage medium of claim 8, wherein the particular content item is a recommendation for at least one of a product and a service.

12. The storage medium of claim 8, wherein the particular content item is a search result.

13. The storage medium of claim 8, wherein the particular content item is an advertisement.

14. The storage medium of claim 8, wherein the particular content item is a review of a product or service.

15. A system comprising:

a machine including a memory and at least one processor; and

a recommendation module, executable by the machine, configured to;

access user preference profile information identifying one or more preferences of a user;

access user history information identifying one or more content items previously accessed by the user;

determine that a particular content item includes features matching the preferences identified in the user preference profile information;

determine that the particular content item is dissimilar to the content items identified in the user history information;

determine that the particular content item is relevant to the user based on the determination that the particular content item includes features matching the preferences identified in the user preference profile information and the determination that the particular content item is dissimilar to the content items identified in the user history information; and

provide the particular content item to the user, based on the determination that the particular content item is relevant to the user.

16. The system of claim 15, wherein the recommendation module is further configured to:

determine that a second content item includes features matching the preferences identified in the user preference profile information;

determine that the second content item is similar to the content items identified in the user history information;

determine that the second content item is not relevant to the user based on the determination that the second content item is similar to the content items identified in the user history information; and

prevent a recommendation for the second content item from being provided to the user, based on the determination that the second content item is not relevant to the user.

17. The system of claim 15, wherein the particular content item is a recommendation for at least one of a product and a service.

18. The system of claim 15, wherein the particular content item is a search result.

19. The system of claim 15, wherein the particular content item is an advertisement.

20. The system of claim 15, wherein the particular content item is a review of a product or service.