METHOD AND SYSTEM FOR CONTEXTUAL ADVERTISEMENT RECOMMENDATION ACROSS MULTIPLE DEVICES OF CONTENT DELIVERY

• US 20120078725A1
• Filed: 03/24/2011
• Published: 03/29/2012
• Est. Priority Date: 09/27/2010
• Status: Abandoned Application

• Current Assignee: Infosys Limited
• Original Assignee: Infosys Technologies Limited (Infosys Limited)
• Inventors: Paul, Sanjoy, Maitra, Anutosh, Hemant, Kumar, Sirolia, Saurabh
• Application Number:
  US13/070,701
• Publication Number:
  US 20120078725A1
• Time in Patent Office: Days
• US Class Current: 705/14.66
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute

Abstract

The present invention includes a method and a system for recommending at least one advertisement to a user. The recommendation is provided based on the interaction with at least two devices. The user is identified when an interactive session is initiated by the user on a device of the at least two devices. Thereafter, a contextual profile of the identified user is selected from a database. The contextual profile is associated with one or more contextual sub-profiles. Further, each contextual sub-profile is associated with a corresponding device. Furthermore, one or more contextual attributes are dynamically captured from the interactive session. Thereafter, at least one of the contextual profile and the captured contextual attributes is mapped with a plurality of pre-stored advertisements. Subsequently, at least one advertisement is suggested on the device based on the mapping.

Claims

1. A method for recommending at least one advertisement to a user, the recommendation being provided based on the interaction with at least two devices, the method comprising:

a. identifying the user, the identification being performed when an interactive session is initiated by the user on a device of the at least two devices;

b. selecting a contextual profile from a database, the contextual profile being selected corresponding to the identified user, the contextual profile being associated with one or more contextual sub-profiles, each of the one or more contextual sub-profiles being associated with each of the at least two devices;

c. dynamically capturing one or more contextual attributes from the interactive session;

d. mapping at least one of the contextual profile and the captured one or more contextual attributes with a plurality of pre-stored advertisements; and

e. suggesting the at least one advertisement on the device based on the mapping.

2. The method of claim 1, wherein the at least two devices are selected from a group comprising a handheld device, a computer, a television, a car screen, a kiosk, a digital photo frame, a touch-screen home gateway, a digital billboard, and a digital book.

3. The method of claim 1, wherein the one or more contextual attributes comprise at least one of a time of initiating the interactive session, a time duration of the interactive session, a current location of the user, the device of the at least two devices for initiating the interactive session, a current season, a current state of the user, surrounding events, a content being watched, current activities of the user, and one or more keywords associated with the interactive session.

4. The method of claim 1, wherein the one or more contextual attributes are dynamically captured after a pre-defined time duration of the interactive session.

5. The method of claim 1 further comprising updating the contextual profile at regular intervals of time based on the one or more contextual attributes associated with the interactive session.

6. The method of claim 1 further comprising suggesting at least one new advertisement based on the suggested at least one advertisement.

7. The method of claim 6, wherein suggesting the at least one new advertisement comprises:

a. dynamically monitoring current activities of the user, the current activities being associated with the suggested at least one advertisement;

b. capturing dynamic information associated with the current activities of the user; and

c. recommending the at least one new advertisement from the plurality of pre-stored advertisements based on the captured dynamic information.

8. The method of claim 7, wherein the dynamic information comprises at least one of a survey information associated with the suggested at least one advertisement, a rating information associated with the suggested at least one advertisement, and a pattern of clicks exhibited by the user on the suggested at least one advertisement.

9. The method of claim 7, wherein the contextual profile is updated based on the dynamic information, the updation being performed based on a pre-defined criterion.

10. The method of claim 6, wherein suggesting the at least one new advertisement comprises:

a. identifying a genre associated with the suggested at least one advertisement;

b. identifying one or more other genres, wherein the genre and the one or more other genres are related with at least one of the contextual profile and the one or more contextual attributes associated with the interactive session; and

c. recommending the at least one new advertisement associated with the one or more other genres.

11. The method of claim 1 further comprising preparing the contextual profile for the user, the preparation comprising:

a. capturing static information and contextual attributes associated with the user, at least one contextual attribute of the contextual attributes being captured over a pre-defined time period, wherein the contextual attributes are captured across the at least two devices;

b. creating the contextual sub-profile for each of the at least two devices based on the static information and the contextual attributes; and

c. creating the contextual profile of the user by collating each of the contextual sub-profile.

12. The method of claim 11, wherein creating the contextual sub-profile of the user for the device further comprises classifying the user in one or more categories, the user being classified based on the static information and the contextual attributes.

13. The method of claim 12 further comprising storing one or more characteristics associated with the user in the contextual sub-profile for the device, the one or more characteristics being derived from the contextual attributes of the user.

14. The method of claim 11, wherein each of the at least one contextual attribute has a corresponding pre-defined time period.

15. The method of claim 11, wherein the static information comprises at least one of an age, an age group, a gender, one or more preferences, educational qualifications, religion, languages, an ethnicity, an address of the user, professional details, a job profile, a marital status, and an income level.

16. The method of claim 11 further comprising updating the contextual profile after the pre-defined time period.

17. The method of claim 11 further comprising storing the contextual profile in the database.

18. A method for preparing a contextual profile, the contextual profile being utilized for recommending at least one advertisement to a user, the recommendation being provided based on the interaction with at least two devices, the method comprising:

a. capturing static information associated with the user;

b. dynamically capturing one or more contextual attributes, at least one contextual attribute of the one or more contextual attributes being captured over a pre-defined time period, the one or more contextual attributes being captured across the at least two devices;

c. creating a contextual sub-profile for each of the at least two devices based on the static information and the one or more contextual attributes; and

d. creating the contextual profile of the user by collating each of the contextual sub-profile.

19. The method of claim 18, wherein creating the contextual sub-profile of the user for the device further comprises classifying the user in one or more categories, the user being classified based on the static information and the one or more contextual attributes.

20. The method of claim 19 further comprising storing one or more characteristics associated with the user in the contextual sub-profile for the device, the one or more characteristics being derived from the one or more contextual attributes of the user.

21. The method of claim 18, wherein each of the at least one contextual attribute has a corresponding pre-defined time period.

22. The method of claim 18, wherein the at least two devices are selected from a group comprising a handheld device, a computer, a television, a car screen, a kiosk, a digital photo frame, a touch-screen home gateway, and a digital book.

23. The method of claim 18, wherein the static information comprises at least one of an age, an age group, a gender, one or more preferences, educational qualifications, religion, languages, an ethnicity, an address of the user, professional details, a job profile, a marital status, and an income level.

24. The method of claim 18, wherein the one or more contextual attributes comprise at least one of a time of initiating an interactive session, a time duration of the interactive session, a current location of the user, the device of the at least two devices for initiating the interactive session, a current season, a current state of the user, surrounding events, a content being watched, current activities of the user, and one or more keywords associated with the interactive session.

25. The method of claim 18 further comprising updating the contextual profile after the pre-defined time period.

26. The method of claim 18 further comprising storing the contextual profile in a database.

27. A system for recommending at least one advertisement to a user, the recommendation being provided based on the interaction between the system and at least two devices, the system comprises:

a. a data capturing module configured for dynamically capturing one or more contextual attributes, the one or more contextual attributes being captured from an interactive session initiated by the user on a device of the at least two devices;

b. a recommendation module comprising;

i. a selecting module configured for selecting a contextual profile from a database, the selection performed based on an identity associated with the user, the contextual profile being associated with one or more contextual sub-profiles, each of the one or more contextual sub-profiles being associated with each of the at least two devices;

ii. a mapping module configured for mapping at least one of the contextual profile and the captured one or more contextual attributes with a plurality of pre-stored advertisements; and

iii. a suggestion module configured for suggesting the at least one advertisement on the device based on the mapping.

28. The system of claim 27 further comprising a profile-creation module configured for:

a. creating the contextual sub-profile for each of the at least two devices based on static information and contextual attributes, at least one contextual attribute of the contextual attributes being captured over a pre-defined time period, wherein the contextual attributes are captured across the at least two devices; and

b. creating the contextual profile of the user by collating each of the contextual sub-profile.

29. The system of claim 28, wherein the static information and the contextual attributes are captured by the data capturing module.

30. The method of claim 28, wherein each of the at least one contextual attribute has a corresponding pre-defined time period.

31. The system of claim 28, wherein the profile-creation module further comprises a classification module configured for classifying the user in one or more categories, the user being classified based on the static information and the contextual attributes.

32. The system of claim 28, wherein the profile-creation module is further configured for storing one or more characteristics associated with the user in the contextual sub-profile for the device, the one or more characteristics being derived from the contextual attributes of the user.

33. The system of claim 28, wherein the profile-creation module further comprises an updating module configured for updating the contextual profile after the pre-defined time period.

34. The system of claim 28 further comprising a memory module configured for storing the contextual profile in the database.

35. The system of claim 27, wherein the suggestion module is further configured for suggesting at least one new advertisement based on the suggested at least one advertisement.

36. The system of claim 35, wherein the data capturing module is further configured for capturing dynamic information associated with current activities of the user, the current activities being performed on the suggested at least one advertisement.

37. The system of claim 36, wherein the dynamic information comprises at least one of a survey information associated with the suggested at least one advertisement, a rating information associated with the suggested at least one advertisement, and a pattern of clicks exhibited by the user on the suggested at least one advertisement.

38. The system of claim 36, wherein the suggestion module is further configured for recommending the at least one new advertisement from the plurality of pre-stored advertisements based on the dynamic information.

39. The system of claim 36, wherein the recommendation module further comprises a refreshing module configured for refreshing the contextual profile based on the dynamic information, the refreshing being performed based on a pre-defined criterion.

40. The system of claim 35, wherein the suggestion module is further configured for:

a. identifying a genre associated with the suggested at least one advertisement;

b. identifying one or more other genres, wherein the genre and the one or more other genres are related with at least one of the contextual profile and the one or more contextual attributes associated with the interactive session; and

c. recommending the at least one new advertisement associated with the one or more other genres.

41. A computer program product for use with a computer, the computer program product comprising a computer readable storage medium having a computer readable program code embodied therein for recommending at least one advertisement to a user, the recommendation being provided based on the interaction with at least two devices, the computer readable program code comprising:

a. a program instruction means for identifying the user, the identification being performed when an interactive session is initiated by the user on a device of the at least two devices;

b. a program instruction means for selecting a contextual profile from a database, the contextual profile being selected corresponding to the identified user, the contextual profile being associated with one or more contextual sub-profiles, each of the one or more contextual sub-profiles being associated with each of the at least two devices;

c. a program instruction means for dynamically capturing one or more contextual attributes from the interactive session;

d. a program instruction means for mapping at least one of the contextual profile and the one or more captured contextual attributes with a plurality of pre-stored advertisements; and

e. a program instruction means for suggesting the at least one advertisement on the device based on the mapping.

42. The computer program product of claim 41, wherein the one or more contextual attributes are dynamically captured after a pre-defined time duration of the interactive session.

43. The computer program product of claim 41 further comprising a program instruction means for updating the contextual profile at regular intervals of time based on the one or more contextual attributes associated with the interactive session.

44. The computer program product of claim 41 further comprising a program instruction means for suggesting at least one new advertisement based on the suggested at least one advertisement.

45. The computer program product of claim 44, wherein the program instruction means for suggesting the at least one new advertisement further comprises:

a. a program instruction means for dynamically monitoring current activities of the user, the current activities being associated with the suggested at least one advertisement;

b. a program instruction means for capturing dynamic information associated with the current activities of the user; and

c. a program instruction means for recommending the at least one new advertisement from the plurality of pre-stored advertisements, the at least one new advertisement being recommended based on the dynamic information.

46. The computer program product of claim 45, wherein the contextual profile is updated based on the dynamic information, the updation being performed based on a pre-defined criterion.

47. The computer program product of claim 44, wherein the program instruction means for suggesting the at least one new advertisement further comprises:

a. a program instruction means for identifying a genre associated with the suggested at least one advertisement;

b. a program instruction means for identifying one or more other genres, wherein the genre and the one or more other genres are related with at least one of the contextual profile and the one or more contextual attributes associated with the interactive session; and

c. a program instruction means for recommending the at least one new advertisement associated with the one or more other genres.

48. The computer program product of claim 41 further comprising a program instruction means for preparing the contextual profile for the user, the program instruction means comprising:

a. a program instruction means for capturing static information and contextual attributes associated with the user, at least one contextual attribute of the contextual attributes being captured over a pre-defined time period, wherein the contextual attributes are captured across the at least two devices;

b. a program instruction means for creating the contextual sub-profile for each of the at least two devices based on the static information and the contextual attributes; and

c. a program instruction means for creating the contextual profile of the user by collating each of the contextual sub-profile.

49. The computer program product of claim 48, wherein the program instruction means for creating the contextual sub-profile of the user for the device further comprises a program instruction means for classifying the user in one or more categories, the user being classified based on the static information and the contextual attributes.

50. The computer program product of claim 49 further comprising a program instruction means for storing one or more characteristics associated with the user in the contextual sub-profile for the device, the one or more characteristics being derived from the contextual attributes of the user.

51. The method of claim 48, wherein each of the at least one contextual attribute has a corresponding pre-defined time period.

52. The computer program product of claim 48 further comprising a program instruction means for updating the contextual profile after the pre-defined time period.

53. The computer program product of claim 48 further comprising a program instruction means for storing the contextual profile in the database.