System for partial automation of content review of network advertisements

• US 20060069613A1
• Filed: 09/29/2004
• Published: 03/30/2006
• Est. Priority Date: 09/29/2004
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Marquardt, Marion Louise
• Application Number:
  US10/952,666
• Publication Number:
  US 20060069613A1
• Time in Patent Office: Days
• US Class Current: 705/14.470
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0248 Avoiding fraud

Abstract

Upon receiving a proposed network advertisement from an advertiser, a publisher determines whether to automatically approve the proposed advertisement for publishing, automatically reject the proposed advertisement from being published, or manually verify the content of the proposed advertisement prior to publishing based on a distribution channel of the proposed advertisement, a trust rating of the advertiser, a business rule, or expected traffic of a location at which the proposed advertisement is to appear.

Claims

1. A computer-implemented method of reviewing network advertisements for publishing, comprising:

receiving a proposed network advertisement from an advertiser; and

determining whether to automatically approve the proposed advertisement for publishing, automatically reject the proposed advertisement from being published, or manually verify the content of the proposed advertisement prior to publishing based on a distribution channel of the proposed advertisement, a trust rating of the advertiser, a business rule, or expected traffic of a location at which the proposed advertisement is to appear.

2. The method of claim 1, further comprising:

setting the advertiser'"'"'s trust rating.

3. The method of claim 2, wherein the advertiser'"'"'s trust rating is based on the advertiser'"'"'s historical advertisement content.

4. The method of claim 1, further comprising:

setting the business rule.

5. The method of claim 1, further comprising:

determining the expected traffic of the location.

6. The method of claim 1, further comprising:

determining whether the distribution channel of the proposed advertisement requires extra caution, and if so, then designating the proposed advertisement for manual review by a human being.

7. The method of claim 6, further comprising:

receiving a designation of the distribution channel of the proposed advertisement from the advertiser.

8. The method of claim 7, further comprising:

setting a distribution channel flag of the proposed advertisement if the distribution channel of the proposed advertisement requires extra caution.

9. The method of claim 1, further comprising:

determining whether the advertiser'"'"'s trust rating indicates that the advertiser is completely trustworthy, and if so, then allowing the proposed advertisement to be published.

10. The method of claim 1, further comprising:

determining whether the proposed advertisement violates the business rule, and if so, then preventing the proposed advertisement from being published.

11. The method of claim 1, further comprising:

determining whether the advertiser'"'"'s trust rating indicates that the advertiser is completely untrustworthy, and if so, then designating the proposed advertisement for manual review by a human being.

12. The method of claim 1, further comprising:

determining whether the advertiser'"'"'s trust rating is above a predetermined good trust threshold, and whether expected traffic of a location at which the proposed advertisement is to appear is below a predetermined low traffic threshold, and if so, then allowing the proposed advertisement to be published.

13. The method of claim 12, further comprising:

determining whether the advertiser'"'"'s trust rating indicates that the advertiser is not completely trustworthy, and whether the expected traffic is above the low traffic threshold, and if so, then designating the proposed advertisement for manual review by a human being.

14. The method of claim 12, further comprising:

determining whether the advertiser'"'"'s trust rating indicates that the advertiser is not completely untrustworthy, and whether the expected traffic is below a predetermined very low traffic threshold, and if so, then allowing the proposed advertisement to be published, wherein the very low traffic threshold is lower than the low traffic threshold.

15. The method of claim 14, further comprising:

determining whether the advertiser'"'"'s trust rating is below the good trust threshold, and whether the expected traffic is above the very low traffic threshold, and if so, then designating the proposed advertisement for manual review by a human being.

16. A machine-readable medium that provides instructions for reviewing network advertisements for publishing, which, when executed by a machine, cause the machine to perform operations comprising:

receiving a proposed network advertisement from an advertiser; and

determining whether to automatically approve the proposed advertisement for publishing, automatically reject the proposed advertisement from being published, or manually verify the content of the proposed advertisement prior to publishing based on a distribution channel of the proposed advertisement, a trust rating of the advertiser, a business rule, or expected traffic of a location at which the proposed advertisement is to appear.

17. The machine-readable medium of claim 16, wherein the instructions cause the machine to perform operations further comprising:

setting the advertiser'"'"'s trust rating.

18. The machine-readable medium of claim 17, wherein the advertiser'"'"'s trust rating is based on the advertiser'"'"'s historical advertisement content.

19. The machine-readable medium of claim 16, wherein the instructions cause the machine to perform operations further comprising:

setting the business rule.

20. The machine-readable medium of claim 16, wherein the instructions cause the machine to perform operations further comprising:

determining the expected traffic of the location.

21. The machine-readable medium of claim 16, wherein the instructions cause the machine to perform operations further comprising:

determining whether the distribution channel of the proposed advertisement requires extra caution, and if so, then designating the proposed advertisement for manual review by a human being.

22. The machine-readable medium of claim 21, wherein the instructions cause the machine to perform operations further comprising:

receiving a designation of the distribution channel of the proposed advertisement from the advertiser.

23. The machine-readable medium of claim 22, wherein the instructions cause the machine to perform operations further comprising:

setting a distribution channel flag of the proposed advertisement if the distribution channel of the proposed advertisement requires extra caution.

24. The machine-readable medium of claim 16, wherein the instructions cause the machine to perform operations further comprising:

determining whether the advertiser'"'"'s trust rating indicates that the advertiser is completely trustworthy, and if so, then allowing the proposed advertisement to be published.

25. The machine-readable medium of claim 16, wherein the instructions cause the machine to perform operations further comprising:

determining whether the proposed advertisement violates the business rule, and if so, then preventing the proposed advertisement from being published.

26. The machine-readable medium of claim 16, wherein the instructions cause the machine to perform operations further comprising:

determining whether the advertiser'"'"'s trust rating indicates that the advertiser is completely untrustworthy, and if so, then designating the proposed advertisement for manual review by a human being.

27. The machine-readable medium of claim 16, wherein the instructions cause the machine to perform operations further comprising:

determining whether the advertiser'"'"'s trust rating is above a predetermined good trust threshold, and whether expected traffic of a location at which the proposed advertisement is to appear is below a predetermined low traffic threshold, and if so, then allowing the proposed advertisement to be published.

28. The machine-readable medium of claim 27, wherein the instructions cause the machine to perform operations further comprising:

determining whether the advertiser'"'"'s trust rating indicates that the advertiser is not completely trustworthy, and whether the expected traffic is above the low traffic threshold, and if so, then designating the proposed advertisement for manual review by a human being.

29. The machine-readable medium of claim 27, wherein the instructions cause the machine to perform operations further comprising:

determining whether the advertiser'"'"'s trust rating indicates that the advertiser is not completely untrustworthy, and whether the expected traffic is below a predetermined very low traffic threshold, and if so, then allowing the proposed advertisement to be published,

wherein the very low traffic threshold is lower than the low traffic threshold.

30. The machine-readable medium of claim 29, wherein the instructions cause the machine to perform operations further comprising:

determining whether the advertiser'"'"'s trust rating is below the good trust threshold, and whether the expected traffic is above the very low traffic threshold, and if so, then designating the proposed advertisement for manual review by a human being.

31. A computer-readable medium having stored thereon a data structure, comprising:

a trust rating data field comprising data representing a trust rating of an advertiser;

a distribution channel data field comprising data representing a distribution channel of a network advertisement proposed by the advertiser; and

an expected traffic data field comprising data representing expected traffic that would view the advertisement.

32. The computer-readable medium of claim 31, wherein the distribution channel field is a flag.

33. The computer-readable medium of claim 31, further comprising:

an advertiser data field comprising a name of the advertiser.

34. The computer-readable medium of claim 31, further comprising:

a title data field comprising a title of the advertisement.

35. The computer-readable medium of claim 31, further comprising:

a description data field comprising a description of the advertisement.

36. The computer-readable medium of claim 31, further comprising:

a bid amount data field comprising an amount that the advertiser is willing to bid for the advertisement.

37. The computer-readable medium of claim 31, further comprising:

a keyword data field comprising a keyword with which the advertiser desires to associate the advertisement.

38. The computer-readable medium of claim 37, further comprising:

a keyword breadth data field comprising a breadth of the keyword.

39. The computer-readable medium of claim 31, further comprising:

an advertisement location data field comprising a location of the advertisement.

40. The computer-readable medium of claim 31, further comprising:

a linked location data field comprising a location to which the advertisement links.

41. The computer-readable medium of claim 31, further comprising:

an industry data field comprising an industry of the advertiser.

42. The computer-readable medium of claim 31, further comprising:

a relevance data field comprising a relevance score of the advertisement.

43. The computer-readable medium of claim 31, further comprising:

a content data field comprising a content category of the advertisement.