Personality-based and mood-base provisioning of advertisements

• US 20080033826A1
• Filed: 08/02/2007
• Published: 02/07/2008
• Est. Priority Date: 08/03/2006
• Status: Abandoned Application

• Current Assignee: Pudding Ltd.
• Original Assignee: Pudding Ltd.
• Inventors: Maislos, Ariel, Maislos, Ruben, Arbel, Eran
• Application Number:
  US11/882,489
• Publication Number:
  US 20080033826A1
• Time in Patent Office: Days
• US Class Current: 705/14
• CPC Class Codes: G06Q 30/00 Commerce
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 30/0277 Online advertisement

Abstract

Methods, apparatus and computer-code for electronically providing advertisement are disclosed herein. In some embodiments, advertisements are provided in accordance with at least one feature personality trait and/or at least one mood deviation feature. Optionally, the aforementioned personality trait and/or mood deviation feature are computed over a “long time”—for example, at least day-separated distinct multi-party conversations.

Claims

1. ) A method of facilitating advertising, the method comprising:

a) providing electronic media content of at least one multi-party voice conversation; and

b) in accordance with a personality profile for a given conversation party, indicated by said electronic media content, providing at least one advertisement.

2. ) The method of claim 1 wherein said personality-profile-dependent providing is contingent on a positive feature set of at least one feature of said electronic media content for said personality profile, outweighing a negative feature set of at least one feature of said electronic media content for said personality profile, according to a training set classifier model.

3. ) The method of claim 2 wherein at least one said feature of at least one of said positive and said negative feature set is a video content feature.

4. ) The method of claim 2 wherein at least one said feature of at least one of said positive and said negative feature set is a key words feature.

5. ) The method of claim 2 wherein at least one said feature of at least one of said positive and said negative feature set is a speech delivery feature.

6. ) The method of claim 5 wherein said speech delivery feature is an inter-party speech interruption feature.

7. ) The method of claim 5 wherein said at least one feature includes at least one speech delivery feature selected from the group consisting of:

i) an accent feature;

ii) a speech tempo feature;

iii) a voice inflection feature;

iv) a voice pitch feature;

v) a voice loudness feature; and

vi) an outburst feature;

8. ) The method of claim 2 wherein at least one said feature of at least one of said positive and said negative feature set is a physiological parameter feature.

9. ) The method of claim 8 wherein at least one said physiological parameter is selected from the group consisting of a breathing parameter, a sweat parameter, a coughing parameter, a voice-hoarseness parameter, and a body-twitching parameter.

10. ) The method of claim 2 wherein at least one feature of at least one of said positive and said negative feature set includes at least one background feature selected from the group consisting of:

i) a background sound feature; and

ii) a background image feature.

11. ) The method of claim 2 wherein at least one feature of at least one of said positive and said negative feature set includes at least one feature selected from the group consisting of:

i) a speech-delivery feature;

ii) a body-movement feature; and

iii) a physiological parameter feature;

12. ) The method of claim 2 wherein at least one feature of at least one of said positive and said negative feature set speaker reaction time feature.

13. ) The method of claim 2 wherein at least one feature of at least one of said positive and said negative feature set if selected from the group consisting of:

i) a typing biometrics feature;

ii) a clicking biometrics feature; and

iii) a mouse biometrics feature.

14. ) The method of claim 2 wherein at least one said feature of at least one of said positive and said negative feature set is an historical deviation feature.

15. ) The method of claim 14 wherein at least said historical deviation feature is an intra-conversation historical deviation feature.

16. ) The method of claim 14 wherein

i) said at least one multi-party voice conversation includes a plurality of distinct conversations;

ii) at least one said historical deviation feature is an inter-conversation historical deviation feature for at least two of said plurality of distinct conversations.

17. ) The method of claim 14 wherein

i) said at least one multi-party voice conversation includes a plurality of at least day-separated distinct conversations;

ii) at least one said historical deviation feature is an inter-conversation historical deviation feature for at least two of said plurality of at least day-separated distinct conversations.

18. ) The method of claim 14 wherein at least said historical deviation feature includes at least one speech delivery deviation feature selected from the group consisting of:

i) a voice loudness deviation feature;

ii) a speech rate deviation feature.

19. ) The method of claim 14 wherein at least said historical deviation feature includes a physiological deviation feature.

20. ) The method of claim 2 wherein said personality-profile-dependent providing is contingent on a feature set of said electronic media content satisfying a set of criteria associated with said personality profile, wherein:

i) a presence of a first feature of said feature set without a second feature said feature set is insufficient for said electronic media content to be accepted according to said set of criteria for said personality profile;

ii) a presence of said second feature without said first feature is insufficient for said electronic media content to be accepted according to said set of criteria for said personality profile; and

iii) a presence of both said first and second features is sufficient according to said set of criteria.

21. ) The method of claim 20 wherein:

i) said first feature is a video content feature; and

ii) said second feature is an audio feature.

22. ) The method of claim 21 wherein said audio feature is a speech delivery feature.

23. ) The method of claim 21 wherein said audio feature is a key words feature.

24. ) The method of claim 20 wherein:

i) said first feature is a speech delivery feature.

ii) said second feature is a key words feature.

25. ) The method of claim 20 wherein

i) said at least one multi-party voice conversation includes a plurality of distinct conversations;

ii) said first feature is a feature is a first said conversation of said plurality of distinct conversations; and

iii) said second feature is a second said conversation of said plurality of distinct conversations.

26. ) The method of claim 20 wherein

i) said at least one multi-party voice conversation includes a plurality of at least day-separated distinct conversations;

ii) said first feature is a feature is a first said conversation of said plurality of distinct conversations;

iii) said second feature is a second said conversation of said plurality of distinct conversations; and

iv) said first and second conversations are at least day-separated conversations.

27. ) The method of claim 2 wherein said training set classifier model of said personality profile is a model which accepts or rejects a hypothesis

28. ) The method of claim 1 wherein said personality-profile-dependent providing is contingent on a feature set of said electronic media content satisfying a set of criteria associated with said personality profile, wherein:

i) a presence of both a first feature of said feature set and a second feature said feature set necessitates said electronic media content being rejected according to said set of criteria for said personality profile; and

ii) a presence of said first feature without said second feature allows said electronic media content to be accepted according to said set of criteria for said personality profile.

29. ) The method of claim 28 wherein:

i) said first feature is a video content feature; and

ii) said second feature is an audio feature.

30. ) The method of claim 29 wherein said audio feature is a speech delivery feature.

31. ) The method of claim 29 wherein said audio feature is a key words feature.

32. ) The method of claim 28 wherein:

i) said first feature is a speech delivery feature; and

ii) said second feature is a key words feature.

33. ) The method of claim 28 wherein

i) said at least one multi-party voice conversation includes a plurality of distinct conversations;

ii) said first feature is a feature is a first said conversation of said plurality of distinct conversations; and

iii) said second feature is a second said conversation of said plurality of distinct conversations.

34. ) The method of claim 28 wherein

i) said at least one multi-party voice conversation includes a plurality of at least day-separated distinct conversations;

ii) said first feature is a feature is a first said conversation of said plurality of distinct conversations;

iii) said second feature is a second said conversation of said plurality of distinct conversations; and

iv) said first and second conversations are at least day-separated conversations.

35. ) The method of claim 1 wherein said providing electronic media content includes eavesdropping on a conversation transmitted over a wide-range telecommunication network.

36. ) The method of claim 1 wherein said personality profile is a long-term personality profile.

37. ) The method of claim 1 wherein said advertisement-providing is in accordance with a certainty parameter of said personality profile.

38. ) The method of claim 1 wherein said contingent providing in accordance with said personality profile is contingent on an existence of an indication within said electronic media content that at least one of the following personality-traits conditions is true for said given conversation party:

i) said given conversation party is optimistic;

ii) said given conversation party is ambitious;

iii) said given conversation party is passive;

iv) said given conversation party is selfish;

v) said given conversation party is extroverted;

vi) said given conversation party is creative;

vii) said given conversation party is risk-averse;

viii) said given conversation party is impulsive;

ix) said given conversation party is bossy;

x) said given conversation party is sloppy;

xi) said given conversation party is self-confident; and

xii) said given conversation party is honest.

39. ) The method of claim 1 wherein said personality-profile-dependent-advertisement-providing includes selecting an advertisement from a pre-determined pool of advertisements in accordance with said personality-profile.

40. ) The method of claim 1 wherein said personality-profile-dependent-advertisement-providing includes customizing a pre-determined advertisement in accordance with said personality profile.

41. ) The method of claim 1 wherein said personality-profile-dependent-advertisement-providing includes modifying an advertisement mailing list in accordance with said personality profile.

42. ) The method of claim 1 wherein personality-profile-dependent-advertisement-providing includes configuring a client device to present at least one said advertisement in accordance with said personality profile.

43. ) The method of claim 1 wherein personality-profile-dependent-advertisement-providing includes determining an ad residence time in accordance with said personality profile.

44. ) The method of claim 1 wherein said personality-profile-dependent-advertisement-providing includes determining an ad switching rate in accordance with said personality profile.

45. ) The method of claim 1 wherein said personality-profile-dependent-advertisement-providing includes determining an ad size parameter rate in accordance with said personality profile.

46. ) The method of claim 1 wherein said personality-profile-dependent-advertisement-providing includes presenting at least one acquisition condition parameter whose value is determined in accordance with said personality profile.

47. ) The method of claim 1 wherein said at least one acquisition condition parameter is selected from the group consisting of:

i) a price parameter and

ii) an offered-item time-interval parameter.

48. ) The method of claim 1 further comprising:

c) receiving a specification of said personality-profile; and

d) receiving a certainty parameter associated with said personality-profile,

wherein said personality-profile-dependent-advertisement-providing is carried out in accordance with said certainty parameter.

49. ) A method of facilitating advertising, the method comprising:

a) providing electronic media content of at least one multi-party voice conversation; and

b) in accordance with a personality-trait-exhibition-incident occurrence-frequency for a given conversation party, indicated by said electronic media content, providing at least one advertisement.

50. ) A method of facilitating advertising, the method comprising:

a) providing electronic media content of at least one multi-party voice conversation; and

b) in accordance with a mood deviation for a given conversation party, indicated by said electronic media content, providing at least one advertisement.

51. ) An apparatus useful for facilitating advertising, the apparatus comprising:

a) a data storage operative to store electronic media content of a multi-party voice conversation including spoken content of said conversation; and

b) a data presentation interface operative to present at least one advertisement in accordance with a personality profile for a given conversation party, indicated by said electronic media content.

52. ) An apparatus useful for facilitating advertising, the apparatus comprising:

a) a data storage operative to store electronic media content of a multi-party voice conversation including spoken content of said conversation; and

b) a data presentation interface operative to present at least one advertisement in accordance with a personality-trait-exhibition-incident occurrence-frequency for a given conversation party, indicated by said electronic media content

53. ) An apparatus useful for facilitating advertising, the apparatus comprising:

a) a data storage operative to store electronic media content of a multi-party voice conversation including spoken content of said conversation; and

b) a data presentation interface operative to present at least one advertisement in accordance with a mood deviation for a given conversation party, indicated by said electronic media content

54. ) A method of facilitating advertising, the method comprising:

a) receiving a directive to distribute advertisement content to users of a telecommunications service where a plurality of users communicate with each other via a telecommunications channel linking said plurality of users, thereby generating electronic media content;

b) providing an advertisement service where said advertisement content is distributed to each user of a plurality of said telecommunications-service users in accordance with a respective personality profile of said each user indicated by respective said telecommunications-channel-communicated electronic media content generated by said each user.

55. ) The method of claim 54 further comprising:

c) receiving a specification of a said personality profile from a provider of said directive to distribute advertisement content.

56. ) The method of claim 54 further comprising:

c) receiving a specification of at least one personality-trait certainty profile associated with said personality profile, wherein said personality-profile-dependent providing is carried out in accordance with said personality-trait certainty parameter.

57. ) The method of claim 54 further comprising:

c) pricing advertisement distribution of said advertisement service in accordance with said personality profile.