Personalization and recommendations of aggregated data not owned by the aggregator

• US 20060271548A1
• Filed: 05/25/2005
• Published: 11/30/2006
• Est. Priority Date: 05/25/2005
• Status: Active Grant

• Current Assignee: Oracle International Corporation (Oracle Corporation)
• Original Assignee: Oracle International Corporation (Oracle Corporation)
• Inventors: Maes, Stephane H.
• Granted Patent: US 7,783,635 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation

Abstract

Techniques for providing recommendations for content are provided. Content is received from a source at a service provider. The content includes first recommendation information from the source. A service provider does not own the content provided from the source. A model is generated for the content using the first recommendation information and additionally a second recommendation information that is associated with the service provider. One or more recommendations based on the model are then generated. The recommendations are then provided to an entity, such as the user that requested the content.

Claims

1. A method for providing recommendations for content from a content provider at a platform operated by a service provider separate from the content provider, the method comprising:

receiving content from the content provider to be provided to an entity, the content including metadata for recommendation information from the content provider;

determining one or more recommendations for other content based on the metadata; and

providing the one or more recommendations to the entity.

2. The method of claim 1, further comprising generating a model for the content using the metadata from the content provider.

3. The method of claim 2, wherein generating the model comprises determining second recommendation information determined by the service provider and using the metadata and the second recommendation information to generate the model.

4. The method of claim 3, wherein the second recommendation information comprises information on preferences for the entity, information for past history for the entity, or information for entities other than the entity.

5. The method of claim 2, wherein the metadata is used to generate the model, the model being compatible with a recommendation engine configured to generate the one or more recommendations.

6. The method of claim 1, wherein the content received is streamed, downloaded, or pushed to the entity.

7. The method of claim 1, wherein the content comprises new content or live content.

8. The method of claim 1, further comprising:

receiving a request for the content from the entity at the service provider; and

providing the one or more recommendations to the entity based on the content requested in the request.

9. The method of claim 1, wherein the content is maintained by the content provider.

10. The method of claim 1, wherein the service provider has not provided the content before receiving the content from the content provider.

11. The method of claim 1, wherein the meta data comprises a recommendation model generated by the content provider for the content,

wherein the one or more recommendations are generated based on the recommendation model generated by the content provider.

12. The method of claim 1, wherein the metadata comprises a category for the content, wherein the service provider uses the category to provide the one or more recommendations.

13. The method of claim 1, wherein the metadata is provided in a pre-defined format that can be processed by the service provider.

14. A method for providing recommendations for content from a content provider at a platform operated by a service provider separate from the content provider, the method comprising:

receiving a plurality of content from a plurality of content providers, each content including metadata for recommendation information from each content provider;

determining one or more recommendations based on first metadata for a first content from a first content provider, wherein second metadata for second content from a second content provider different from the first content provider is used to determine the one or more recommendations; and

providing the one or more recommendations to an entity.

15. The method of claim 14, wherein each content in the plurality of content is owned by the plurality of content providers.

16. The method of claim 14, further comprising generating a first model for the first content using the first metadata from the first content provider and a second model for the second content using the second metadata from the second content provider.

17. The method of claim 16, wherein generating the first model comprises determining second recommendation information determined by the service provider and using the first metadata and the second recommendation information to generate the first model.

18. The method of claim 17, wherein second recommendation information comprises the second model.

19. The method of claim 17, wherein the second recommendation information comprises information on preferences for the entity, information for past history for the entity, or information for entities other than the entity.

20. The method of claim 14, wherein the content received is streamed, downloaded, or pushed to the entity.

21. The method of claim 14, wherein the content comprises new content or live content.

22. The method of claim 14, wherein each content is maintained by each content provider.

23. The method of claim 14, wherein the service provider has not provided the content before receiving the content.

24. The method of claim 14, wherein the second recommendation information comprises information on preferences for the entity, information for past history for the entity, or information for entities other than the entity.

25. The method of claim 14, wherein the meta data comprises a recommendation model generated by the content provider for the content,

wherein the one or more recommendations are generated based on the recommendation model generated by the content provider.

26. The method of claim 14, wherein the metadata comprises a category for the content, wherein the service provider uses the category to provide the one or more recommendations.

27. The method of claim 14, wherein the metadata is provided in a pre-defined format that can be processed by the service provider.

28. A system configured to provide recommendations for content from a content provider at a platform operated by a service provider separate from the content provider, the system comprising:

logic to receive content from the content provider to be provided to an entity, the content including metadata for recommendation information from the content provider;

logic to generate one or more models based on information accrued at the service provider;

logic to determine one or more recommendations for other content based on the metadata and a model in the one or more models; and

logic to provide the one or more recommendations to the entity.

29. The system of claim 28, wherein the information accrued at the service provider comprises entity preferences, a history of activity for the entity, or a history of activity for other entities.

30. The platform of claim 28, wherein the content comprises new content or live content.

31. The platform of claim 28, wherein the metadata for recommendation information is a categorization of the content, wherein the model used to determine the one or more recommendations is for the categorization.

32. A platform for providing recommendations for content from a content provider at a platform operated by a service provider separate from the content provider, the platform comprising:

logic configured to receive content from the content provider to be provided to an entity, the content including metadata for recommendation information from the content provider;

logic configured to determine one or more recommendations for other content based on the metadata; and

logic configured to provide the one or more recommendations to the entity.

33. The platform of claim 32, further comprising generating a model for the content using the metadata from the content provider.

34. The platform of claim 33, wherein generating the model comprises determining second recommendation information determined by the service provider and using the metadata and the second recommendation information to generate the model.

35. A platform configured to provide recommendations for content from a content provider at a platform operated by a service provider separate from the content provider, the platform comprising:

logic configured to receive a plurality of content from a plurality of content providers, each content including metadata for recommendation information from each content provider;

logic configured to determine one or more recommendations based on first metadata for a first content from a first content provider, wherein second metadata for second content from a second content provider different from the first content provider is used to determine the one or more recommendations; and

logic configured to provide the one or more recommendations to an entity.