Personalization and recommendations of aggregated data not owned by the aggregator

• US 7,783,635 B2
• Filed: 05/25/2005
• Issued: 08/24/2010
• 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.
• Primary Examiner(s): Vital; Pierre M
• Assistant Examiner(s): OBISESAN, AUGUSTINE KUNLE
• Application Number:
  US11/137,969
• Publication Number:
  US 20060271548A1
• Time in Patent Office: 1,917 Days
• Field of Search: 707/10
• US Class Current: 707/732
• 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 at a platform operated by a service provider, the method comprising:

receiving, at the platform operated by the service provider from a content provider system, content to be provided to an entity, the content including at least in part live content and metadata that is supplied from the content provider, wherein the metadata includes recommendations from the content provider of other content;

after receiving the recommendations, determining with the platform operated by the service provider one or more recommendations for other content based on the metadata;

after determining, providing the one or more recommendations determined by the platform operated by the service provider from the platform operated by the service provider to the entity; and

generating, by the platform operated by the service provider, a model for the content using the metadata from the content provider, wherein generating the model comprises determining second recommendation information determined by the platform operated by the service provider and using the metadata and the second recommendation information to generate the model, the model being compatible with a recommendation engine configured to generate the one or more recommendations.

2. The method of claim 1, 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, and wherein the metadata that is supplied from the content provider comprises recommendation information of the other content that is related to the content that was received from the content provider.

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

4. The method of claim 1, wherein the content comprises new content.

5. The method of claim 1, further comprising:

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

providing the one or more recommendations determined by the platform operated by the service provider from the platform operated by the service provider to the entity based on the content requested in the request.

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

7. The method of claim 1, wherein the platform operated by the service provider has not provided the content before receiving the content from the content provider.

8. The method of claim 1, wherein the one or more recommendations determined by the platform operated by the service provider are generated based on the recommendation model generated by the content provider.

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

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

11. The method of claim 1, wherein the recommendations from the content provider of other content comprises one or more pointers to the other content.

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

receiving, at the platform operated by the service provider from each content provider of a plurality of content providers, content, each content including at least in part live content and metadata that is supplied from each content provider, wherein the metadata comprises recommendation information;

after receiving the recommendation information, determining with the platform operated by the service provider 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;

after determining, providing the one or more recommendations from the platform operated by the service provider to an entity; and

generating, by the platform operated by the service provider, 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, wherein generating the first model comprises determining second recommendation information determined by the platform operated by the service provider and using the first metadata and the second recommendation information to generate the first model, the first model and second model being compatible with a recommendation engine configured to generate the one or more recommendations.

13. The method of claim 12, wherein each content in the plurality of content is owned by the plurality of content providers.

14. The method of claim 12, wherein second recommendation information comprises the second model.

15. The method of claim 12, 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.

16. The method of claim 12, wherein the content received is streamed, downloaded, or pushed to the entity.

17. The method of claim 12, wherein the content comprises new content.

18. The method of claim 12, wherein each content is maintained by each content provider.

19. The method of claim 12, wherein the platform operated by the service provider has not provided the content before receiving the content.

20. The method of claim 12, 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.

21. The method of claim 12, wherein the metadata 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.

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

23. The method of claim 12, wherein the metadata is provided in a pre-defined format that can be processed by the platform operated by the service provider.

24. A system configured to provide recommendations for content provided by a content provider at a platform operated by a service provider separate from the content provider, the system including a processor and a memory device including instructions that, when executed by the processor, cause the processor to:

receive, from the content provider, content to be provided to an entity, the content including at least in part live content and metadata that is supplied from the content provider, wherein the metadata comprises first recommendation information;

generate one or more models using the metadata from the content provider, wherein generating the one or more models comprises determining second recommendation information and using the metadata and the second recommendation information to generate the model, the model being compatible with a recommendation engine configured to generate the one or more recommendations;

determine one or more recommendations for other content based on the metadata and a model in the one or more models after receiving the information; and

provide the one or more recommendations to an access device of the entity after determining the one or more recommendations for other content.

25. The system of claim 24, 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.

26. The system of claim 24, wherein the content comprises new content.

27. The system of claim 24, 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.

28. A platform for providing recommendations for content at a platform operated by a service provider, the platform including a processor and a memory device including instructions that, when executed by the processor, cause the processor to:

receive, from the content provider, content to be provided to an entity, the content including at least in part live content and metadata that is supplied from the content provider, wherein the metadata comprises recommendation information;

determine one or more recommendations for other content based on the metadata after receiving the recommendation information;

provide the one or more recommendations to the entity after determining the one or more recommendations for other content; and

generate a model for the content using the metadata from the content provider, wherein generating the model comprises determining second recommendation information and using the metadata and the second recommendation information to generate the model, the model being compatible with a recommendation engine configured to generate the one or more recommendations.

29. A platform configured to provide recommendations for content at a platform operated by a service provider, the platform including a processor and a memory device including instructions that, when executed by the processor, cause the processor to:

receive, from the content provider, a plurality of content from a plurality of content providers, each content including at least in part live content and metadata that is supplied from each content provider, wherein the metadata comprises recommendation information;

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 after receiving the recommendation information;

provide the one or more recommendations to an entity after determining the one or more recommendations; and

generate 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, wherein generating the first model comprises determining second recommendation information and using the first metadata and the second recommendation information to generate the first model, the first model and second model being compatible with a recommendation engine configured to generate the one or more recommendations.