SYNDICATION OPTIMIZATION SYSTEM

• US 20090012996A1
• Filed: 07/02/2007
• Published: 01/08/2009
• Est. Priority Date: 07/02/2007
• Status: Abandoned Application

• Current Assignee: Oath Inc. (Verizon Communications Inc.)
• Original Assignee: Yahoo! Inc. (Apollo Global Management, Inc.)
• Inventors: Gupta, Naveen, Ting, Chyr-Chong
• Application Number:
  US11/772,766
• Publication Number:
  US 20090012996A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

Aspects of the present invention include automating the process of determining the optimal channels for syndicating content. The automation process can be based on a plurality of factors weighted in accordance with a user'"'"'s preferences. A further aspect of the present invention calls for dynamically updating the process of channel selection by continually updating the data used in the decision making process. Aspects of the present invention allow a user to apply their chosen factors at various levels of granularity such as for individual products, product lines, category of products, or company-by-company.

Claims

1. An automated method for syndicating web content, said method comprising:

storing data related to a plurality of content distributors in a computer readable medium;

associating a rule with a content provider, said rule based on syndicating preferences provided by said content provider; and

in response to receiving a request to syndicate a listing of web content from said content provider, executing computer code to apply said rule to said data to determine a subset of said plurality of content distributors based on said syndicating preferences of said content provider.

2. The method of claim 1, further comprising updating said data in response to a performance of said listing of web content at said subset of content distributors.

3. The method of claim 1, wherein said data comprises costs of listing for said plurality of content distributors.

4. The method of claim 1, wherein said data comprises expressions of interest of users generated by said plurality of content distributors.

5. The method of claim 1, wherein said data comprises cannibalization caused by said plurality of content distributors.

6. The method of claim 1, wherein said data comprises traffic generated by said plurality of content distributors.

7. The method of claim 1, wherein said data comprises category expertise of said plurality of content distributors.

8. The method of claim 1, wherein said data comprises sales generated by said plurality of content distributors.

9. The method of claim 1, wherein said data comprises reputations of said plurality of content distributors.

10. The method of claim 1, wherein said data is stored in a database.

11. A computer program product containing program code for performing an automated method for determining a list of content distributors, said system comprising:

storing data related to a plurality of content distributors in a computer readable medium;

associating a rule with a content provider, said rule based on syndicating preferences provided by said content provider; and

in response to receiving a request to syndicate a listing of web content from said content provider, executing computer code to apply said rule to said data to determine a subset of said plurality of content distributors based on said syndicating preferences of said content provider.

12. The computer program product of claim 11, said method further comprising updating said data in response to a performance of said listing of web content at said subset of said plurality of content distributors.

13. The computer program product of claim 11, wherein said data comprises costs of listing for said plurality of content distributors.

14. The computer program product of claim 11, wherein said data comprises expressions of interest of users generated by said plurality of content distributors.

15. The computer program product of claim 11, wherein said data comprises cannibalization caused by said plurality of content distributors.

16. The computer program product of claim 11, wherein said data comprises traffic generated by said plurality of content distributors.

17. The computer program product of claim 11, wherein said data comprises category expertise of said plurality of content distributors.

18. The computer program product of claim 11, wherein said data comprises sales generated by said plurality of content distributors.

19. The computer program product of claim 11, wherein said data comprises reputations of said plurality of content distributors.

20. The computer program product of claim 11, wherein said data is stored in a database.