System Apparatus Circuit Method and Associated Computer Executable Code for Assessing the Relevance and Impact of Secondary Content

• US 20130238419A1
• Filed: 04/28/2013
• Published: 09/12/2013
• Est. Priority Date: 08/18/2010
• Status: Abandoned Application

• Current Assignee: Jinni Media Limited
• Original Assignee: Jinni Media Limited
• Inventors: Glick, Yosef, Rimon, Mordechai Mori, Meshulam, Ram
• Application Number:
  US13/872,115
• Publication Number:
  US 20130238419A1
• Time in Patent Office: Days
• US Class Current: 705/14.41
• CPC Class Codes: G06Q 30/0242 Determining effectiveness of advertisements

Abstract

Disclosed are systems, apparatuses, circuits, methods and computer executable code sets for assessing the relevance and impact of a secondary content, such as an advertisement, presented within primary content. A first assessment module is used for assessing a taste profile based relevance and/or impact of the primary content, and/or the secondary content, on the target viewer. A second assessment module is used for assessing a correlation level between the primary content and/or segments thereof, and the secondary content and/or segments thereof.

Claims

1. A system for impact assessment of secondary content comprising:

digital processing circuitry; and

digital memory including digital processor executable code adapted to provide;

at least one assessment module to assess a correlation between characteristics of a primary content segment and characteristics of a secondary content segment presented in conjunction.

2. The system according to claim 1, further comprising an assessment module to assess a correlation between a characteristic of the secondary content segment and a taste profile of a viewer of the primary content segment.

3. The system according to claim 2, wherein one of the assessment modules is an impact assessment module adapted to assess an impact of a secondary content viewed by the viewer.

4. The system according to claim 2, wherein one of the assessment modules is a relevance assessment module adapted to assess a relevance of a secondary content being considered for presentation with the primary content segment.

5. The system according to claim 1, wherein assessing correlation between a characteristic of primary content segments and secondary content segments includes calculating a semantic distance function.

6. The system according to claim 2, wherein assessing correlation between a characteristic of the secondary content segment and a taste profile of a viewer of the primary content segment includes calculating a semantic distance function.

7. The system according to claim 2, wherein assessing correlation between a characteristic of the secondary content segment and a taste profile of a viewer of the primary content segment includes calculating a distance between a characteristic of the secondary content and a dominant taste parameter of the viewer.

8. The system according to claim 2, wherein assessing correlation between a characteristic of the secondary content segment and a taste profile of a viewer of the primary content segment includes calculating a distance between a characteristic of the secondary content and a taste parameter of a taste profile of a cluster of users having similar tastes.

9. A method for impact assessment of secondary content comprising:

assessing a correlation between characteristics of a primary content segment and characteristics of a secondary content segment presented in conjunction.

10. The method according to claim 9, further comprising assessing a correlation between a characteristic of the secondary content segment and a taste profile of a viewer of the primary content segment.

11. The method according to claim 10, wherein assessment includes assessing an impact of a secondary content viewed by the viewer.

12. The method according to claim 10, wherein assessment includes assessing a relevance of a secondary content being considered for presentation with the primary content segment.

13. The method according to claim 9, wherein assessing correlation between a characteristic of primary content segments and secondary content segments includes calculating a semantic distance function.

14. The method according to claim 10, wherein assessing correlation between a characteristic of the secondary content segment and a taste profile of a viewer of the primary content segment includes calculating a semantic distance function.

15. The method according to claim 10, wherein assessing correlation between a characteristic of the secondary content segment and a taste profile of a viewer of the primary content segment includes calculating a distance between a characteristic of the secondary content and a dominant taste parameter of the viewer.

16. The method according to claim 10, wherein assessing correlation between a characteristic of the secondary content segment and a taste profile of a viewer of the primary content segment includes calculating a distance between a characteristic of the secondary content and a taste parameter of a taste profile of a cluster of users having similar tastes.