Techniques for presenting content to a user based on the user's preferences

• US 9,715,552 B2
• Filed: 06/03/2015
• Issued: 07/25/2017
• Est. Priority Date: 06/20/2011
• Status: Active Grant

• Current Assignee: Primal Fusion Inc.
• Original Assignee: Primal Fusion Inc.
• Inventors: Soliman, Mohamed A., Ilyas, Ihab Francis
• Primary Examiner(s): LE, DEBBIE M
• Application Number:
  US14/729,958
• Publication Number:
  US 20150294015A1
• Time in Patent Office: 783 Days
• Field of Search: 707722, 707723, 707748, 707E17059
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/36 Creation of semantic tools, e.g. ontology or thesauri
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9538 Presentation of query results

Abstract

Techniques for presenting content to users. The techniques include: obtaining user context information including a first keyword; identifying, based on the first keyword, a first attribute and a second attribute among the plurality of attributes, the first attribute being a characteristic of the first keyword and the second attribute being another characteristic of the first keyword; obtaining, based on the user context information, at least one second-order user preference among attributes in the plurality of attributes including a preference between the first attribute and the second attribute; identifying a set of content items among the plurality of content items based on the first attribute and the second attribute; determining a ranking of content items in the set of content items based on the at least one second-order user preference; and presenting content items to the user in accordance with the ranking.

Claims

1. A method for presenting content to a user, the content comprising a plurality of content items having a plurality of attributes, the method comprising:

using at least one computer hardware processor to perform;

obtaining user context information including a first keyword;

identifying, based at least in part on the first keyword, a first attribute and a second attribute among the plurality of attributes, the first attribute being a characteristic of the first keyword and the second attribute being another characteristic of the first keyword;

obtaining, based at least in part on the user context information, at least one second-order user preference among attributes in the plurality of attributes including a preference between the first attribute and the second attribute;

identifying a set of content items among the plurality of content items based, at least in part, on the first attribute and the second attribute;

determining a ranking of content items in the set of content items based, at least in part, on the at least one second-order user preference; and

presenting at least a portion of the set of content items to the user in accordance with the ranking.

2. The method of claim 1, wherein identifying the first attribute and the second attribute comprises identifying the first attribute and the second attribute in a knowledge representation.

3. The method of claim 2, wherein identifying the first attribute and the second attribute in the knowledge representation comprises identifying a first concept in the knowledge representation that relates to the first keyword and identifying attributes of the first concept as the first attribute and the second attribute.

4. The method of claim 2, wherein the knowledge representation comprises a semantic network.

5. The method of claim 1, wherein obtaining the user context information comprises obtaining information associated with the user on a website.

6. The method of claim 1, wherein the plurality of content items includes a plurality of webpages.

7. The method of claim 1, wherein the plurality of content items includes audio content and/or video content.

8. The method of claim 1, wherein obtaining the preference between the first attribute and the second attribute is performed based on the user'"'"'s selection and/or browsing of any content related to the first attribute and the second attribute.

9. At least one non-transitory computer-readable storage medium storing processor-executable instructions that, when executed by at least one computer hardware processor, cause the at least one computer hardware processor to perform a method for presenting content to a user, the content comprising a plurality of content items having a plurality of attributes, the method comprising:

obtaining user context information including a first keyword;

identifying, based at least in part on the first keyword, a first attribute and a second attribute among the plurality of attributes, the first attribute being a characteristic of the first keyword and the second attribute being another characteristic of the first keyword;

obtaining, based at least in part on the user context information, at least one second-order user preference among attributes in the plurality of attributes including a preference between the first attribute and the second attribute;

identifying a set of content items among the plurality of content items based, at least in part, on the first attribute and the second attribute;

determining a ranking of content items in the set of content items based, at least in part, on the at least one second-order user preference; and

presenting at least a portion of the set of content items to the user in accordance with the ranking.

10. The at least one non-transitory computer-readable storage medium of claim 9, wherein identifying the first attribute and the second attribute comprises identifying the first attribute and the second attribute in a knowledge representation.

11. The at least one non-transitory computer-readable storage medium of claim 10, wherein identifying the first attribute and the second attribute in the knowledge representation comprises identifying a first concept in the knowledge representation that relates to the first keyword and identifying attributes of the first concept as the first attribute and the second attribute.

12. The at least one non-transitory computer-readable storage medium of claim 10, wherein the knowledge representation comprises a semantic network.

13. The at least one non-transitory computer-readable storage medium of claim 9, wherein obtaining the user context information comprises obtaining information associated with the user on a web site.

14. The at least one non-transitory computer-readable storage medium of claim 9, wherein the plurality of content items includes a plurality of webpages.

15. A system for presenting content to a user, the content comprising a plurality of content items having a plurality of attributes, the system comprising:

at least one computer hardware processor to perform;

obtaining user context information including a first keyword;

identifying, based at least in part on the first keyword, a first attribute and a second attribute among the plurality of attributes, the first attribute being a characteristic of the first keyword and the second attribute being another characteristic of the first keyword;

obtaining, based at least in part on the user context information, at least one second-order user preference among attributes in the plurality of attributes including a preference between the first attribute and the second attribute;

identifying a set of content items among the plurality of content items based, at least in part, on the first attribute and the second attribute;

determining a ranking of content items in the set of content items based, at least in part, on the at least one second-order user preference; and

presenting at least a portion of the set of content items to the user in accordance with the ranking.

16. The system of claim 15, wherein identifying the first attribute and the second attribute comprises identifying the first attribute and the second attribute in a knowledge representation.

17. The system of claim 16, wherein identifying the first attribute and the second attribute in the knowledge representation comprises identifying a first concept in the knowledge representation that relates to the first keyword and identifying attributes of the first concept as the first attribute and the second attribute.

18. The system of claim 16, wherein the knowledge representation comprises a semantic network.

19. The system of claim 15, wherein obtaining the user context information comprises obtaining information associated with the user on a website.

20. The system of claim 15, wherein the plurality of content items includes a plurality of webpages.