Rendering advertisements with documents having one or more topics using user topic interest information

• US 20040267723A1
• Filed: 06/30/2003
• Published: 12/30/2004
• Est. Priority Date: 06/30/2003
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Bharat, Krishna
• Granted Patent: US 7,346,606 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0207 Discounts or incentives, e.g. coupons or rebates
• CPC Class Codes: G06Q 30/0256 User search
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 30/0273 Determination of fees for advertising
• CPC Class Codes: H04L 12/1859 adapted to provide push services, e.g. data channels
• CPC Class Codes: H04L 51/52 for supporting social networking services
• CPC Class Codes: Y10S 707/99933 Query processing, i.e. searching
• CPC Class Codes: Y10S 707/99934 Query formulation, input preparation, or translation
• CPC Class Codes: Y10S 707/99935 Query augmenting and refining, e.g. inexact access
• CPC Class Codes: Y10S 707/99936 Pattern matching access

Abstract

Ambiguities with respect to a user topic interest may be resolved so that useful topic-relevant ads can be presented. Such ambiguities may be resolved by monitoring user behavior, determining a user topic interest (e.g., from a plurality of different candidate topics) based on the monitored behavior, and serving ads relevant to the determined user topic interest.

Claims

1. A method for generating a document with optimizable topic-relevant ads, the method comprising:

a) for each of a number of document regions, determining a topic; and

b) using at least the determined topics, associating a set of one or more topic-relevant ads with each of the document regions.

2. The method of claim 1 wherein each of the ads of each of the sets of one or more topic relevant ads includes a score, and

wherein an initial set of ads to be rendered in association with the document is determined using at least the scores of the ads.

3. The method of claim 2 wherein the scores are interest scores.

4. The method of claim 1 further comprising:

c) storing a first set of mappings, each associating a document region and a topic;

d) storing a second set of mappings, each associating a topic and a topic interest score; and

e) storing a third set of mappings, each associating a topic and one or more topic-relevant ads.

5. The method of claim 1 further comprising:

c) storing a first set of mappings, each associating a document region and a set of one or more ads, wherein each document region is associated with a topic and its associated set of one or more ads are relevant to the topic.

6. The method of claim 1 wherein the document regions are defined as links to other documents.

7. The method of claim 1 wherein the document regions are defined by meta data.

8. The method of claim 1 wherein the document regions are defined by at least one of (a) a defined section, (b) a defined column, and (c) a defined box.

9. The method of claim 1 wherein the document regions are defined using statistical text analysis.

10. The method of claim 2 further comprising:

c) determining a user topic interest;

d) adjusting the scores of the ads using at least the determined user topic interest; and

e) rendering an updated set of ads in association with the document using at least the adjusted scores.

11. The method of claim 10 wherein a user topic interest is determined using at least monitored user actions with respect to the document.

12. The method of claim 11 wherein user actions monitored are selected from a group of user actions consisting of (a) cursor positioning, (b) cursor dwell time, (c) document item selection, (d) user eye direction, (e) user facial expressions, (f) user expressions, and (g) express user topic interest input.

13. The method of claim 11 wherein activity in a particular region of a document is used to infer user topic interest in the topic associated with that region.

14. The method of claim 11 wherein a user selection is used to express a user topic interest in the topic associated with the region associated with the selection.

15. The method of claim 11 wherein an amount by which scores of ads are adjusted is determined using, at least, a confidence level that an observed monitored user action indicates a user topic interest.

16. The method of claim 15 wherein an amount by which scores of ads are adjusted is greater for express user topic interest than inferred user topic interest.

17. The method of claim 11 wherein an amount by which scores of ads are adjusted is determined using, at least, a degree of user topic interest indicated by an observed monitored user action.

18. The method of claim 10 wherein determining a user topic interest includes determining user disinterest in a topic using user actions.

19. The method of claim 18 wherein user disinterest in a topic is determined if a user selects a link, is brought to a Web page and returns back shortly.

20. A method comprising:

a) accepting a document with different regions corresponding to different topics;

b) accepting, for each of the different topics, a set of one or more topic-relevant ads, each having a score;

c) determining a user topic interest;

d) adjusting the scores of at least some of the ads using at least the determined user topic interest; and

e) rendering one or more of the ads in association with the document using at least the adjusted scores.

21. The method of claim 20 wherein a user topic interest is determined using monitored user actions with respect to the document.

22. The method of claim 21 wherein user actions monitored are selected from a group of user actions consisting of (a) cursor positioning, (b) cursor dwell time, (c) document item selection, (d) user eye direction, (e) user facial expressions, (f) user expressions, and (g) express user topic interest input.

23. The method of claim 21 wherein activity in a particular region of a document is used to infer user topic interest in the topic associated with that region.

24. The method of claim 21 wherein a user selection is used to express a user topic interest in the topic associated with the region associated with the selection.

25. The method of claim 21 wherein an amount by which scores of ads are adjusted is determined using, at least, a confidence level that an observed monitored user action indicates a user topic interest.

26. The method of claim 25 wherein an amount by which scores of ads are adjusted is greater for express user topic interest than inferred user topic interest.

27. The method of claim 21 wherein an amount by which scores of ads are adjusted is determined using, at least, a degree of user topic interest indicated by an observed monitored user action.

32. The method of claim 20 wherein a user selection is used to express a user topic interest in the topic associated with the region associated with the selection.

33. The method of claim 20 wherein an amount by which scores of ads are adjusted is determined using, at least, a confidence level that an observed monitored user action indicates a user topic interest.

34. The method of claim 33 wherein an amount by which scores of ads are adjusted is greater for express user topic interest than inferred user topic interest.

28. A method comprising:

a) accepting a document with different regions corresponding to different topics;

b) accepting, for each of the different topics, a set of one or more topic-relevant ads, each having a score;

c) determining a user topic interest;

d) adjusting the scores of at least some of the ads using at least the determined user topic interest;

e) determining whether or not to apply at least one enhanced feature to one or more of the ads using at least the adjusted scores; and

f) rendering one or more of the ads in association with the document.

29. The method of claim 28 wherein a user topic interest is determined using monitored user actions with respect to the document.

30. The method of claim 29 wherein user actions monitored are selected from a group of user actions consisting of (a) cursor positioning, (b) cursor dwell time, (c) document item selection, (d) user eye direction, (e) user facial expressions, (f) user expressions, and (g) express user topic interest input.

31. The method of claim 29 wherein activity in a particular region of a document is used to infer user topic interest in the topic associated with that region.

35. The method of claim 29 wherein an amount by which scores of ads are adjusted is determined using, at least, a degree of user topic interest indicated by an observed monitored user action.

36. A method comprising:

a) providing a document with content concerning a first topic and at least one link to another document with content concerning a second topic;

b) rendering the document with ads relevant to the first topic;

c) if a user selects the link and returns to the document, rendering the document with ads relevant to the second topic.

37. The method of claim 36 wherein the document is Web page and the link is a hypertext link.

38. A method comprising:

a) providing a document with a first search result associated with a first document having content concerning a first topic and a second search result associated with a second document having content concerning a second topic;

b) determining which of the first topic and the second topic a user is most interested in;

c) selecting one of a first set of one or more ads relevant to the first topic and a second set of one or more ads relevant to the second topic using, at least the determination of user topic interest; and

d) rendering, in association with the document, the selected one of the first and second set of one or more ads.

39. The method of claim 38 wherein the act of determining user topic interest includes monitoring user behavior with respect to the document.

40. The method of claim 38 wherein the act of determining user topic interest includes monitoring user behavior with respect to the first and second search results.

41. The method of claim 40 wherein if the user selects one of the first and second search results, then determining that the user is interested in a corresponding one of the first and second topics.

42. A method comprising:

a) providing a document with a first search result associated with a first document having content concerning a first topic and a second search result associated with a second document having content concerning a second topic;

b) determining which of the first topic and the second topic a user is most interested in;

c) adjusting scores of one of a first set of one or more ads relevant to the first topic and a second set of one or more ads relevant to the second topic using, at least the determination of user topic interest; and

d) rendering, in association with the document, one or more ads using at least the adjusted scores.

43. The method of claim 42 wherein the act of determining user topic interest includes monitoring user behavior with respect to the document.

44. The method of claim 43 wherein the act of determining user topic interest includes monitoring user behavior with respect to the first and second search results.

45. The method of claim 44 wherein if the user selects one of the first and second search results, then determining that the user is interested in a corresponding one of the first and second topics.

56. The apparatus of claim 45 wherein a user topic interest is determined using at least monitored user actions with respect to the document.

57. The apparatus of claim 56 wherein user actions monitored are selected from a group of user actions consisting of (a) cursor positioning, (b) cursor dwell time, (c) document item selection, (d) user eye direction, (e) user facial expressions, (f) user expressions, and (g) express user topic interest input.

58. The apparatus of claim 56 wherein activity in a particular region of a document is used to infer user topic interest in the topic associated with that region.

59. The apparatus of claim 56 wherein a user selection is used to express a user topic interest in the topic associated with the region associated with the selection.

60. The apparatus of claim 56 wherein an amount by which scores of ads are adjusted is determined using, at least, a confidence level that an observed monitored user action indicates a user topic interest.

61. The apparatus of claim 60 wherein an amount by which scores of ads are adjusted is greater for express user topic interest than inferred user topic interest.

62. The apparatus of claim 56 wherein an amount by which scores of ads are adjusted is determined using, at least, a degree of user topic interest indicated by an observed monitored user action.

46. Apparatus for generating a document with optimizable topic-relevant ads, the apparatus comprising:

a) means for determining a topic for each of a number of document regions; and

b) means for associating a set of one or more topic-relevant ads with each of the document regions using at least the determined topics.

47. The apparatus of claim 46 wherein each of the ads of each of the sets of one or more topic relevant ads includes a score, and

wherein an initial set of ads to be rendered in association with the document is determined using at least the scores of the ads.

48. The apparatus of claim 47 wherein the scores are interest scores.

49. The apparatus of claim 46 further comprising:

c) a storage device for storing

1) a first set of mappings, each associating a document region and a topic,

2) a second set of mappings, each associating a topic and a topic interest score, and

3) a third set of mappings, each associating a topic and one or more topic-relevant ads.

50. The apparatus of claim 46 further comprising:

c) a storage device for storing a first set of mappings, each associating a document region and a set of one or more ads, wherein each document region is associated with a topic and its associated set of one or more ads are relevant to the topic.

51. The apparatus of claim 46 wherein the document regions are defined as links to other documents.

52. The apparatus of claim 46 wherein the document regions are defined by meta data.

53. The apparatus of claim 46 wherein the document regions are defined by at least one of (a) a defined section, (b) a defined column, and (c) a defined box.

54. The apparatus of claim 46 wherein the document regions are defined using statistical text analysis.

55. The apparatus of claim 47 further comprising:

c) means for determining a user topic interest;

d) means for adjusting the scores of the ads using at least the determined user topic interest; and

e) means for rendering an updated set of ads in association with the document using at least the adjusted scores.

63. The apparatus of claim 55 wherein the means for determining a user topic interest includes means for determining user disinterest in a topic using user actions.

64. The apparatus of claim 63 wherein user disinterest in a topic is determined if a user selects a link, is brought to a Web page and returns back shortly.