System and method for searching media assets

• US 8,725,563 B2
• Filed: 11/06/2009
• Issued: 05/13/2014
• Est. Priority Date: 09/07/2007
• Status: Active Grant

• Current Assignee: Veritone Media
• Original Assignee: Brand Affinity Technologies, Inc.
• Inventors: Steelberg, Ryan, Steelberg, Chad
• Primary Examiner(s): Zeender, Ryan
• Assistant Examiner(s): Haider, Fawaad
• Application Number:
  US12/590,345
• Publication Number:
  US 20100131336A1
• Time in Patent Office: 1,649 Days
• Field of Search: 705/10
• US Class Current: 705/14.28
• CPC Class Codes: G06Q 30/00 Commerce
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0217 involving input on products or services in exchange for incentives or rewards
• CPC Class Codes: G06Q 30/0282 Rating or review of business operators or products

Abstract

A search engine, system and method for locating and rating a plurality of electronic mentions of respective ones of a plurality of brands. The engine, system and method includes a web crawl engine that seeks mentions of ones of a plurality of keywords in proximity to ones of the electronic mentions of the respective ones of the plurality of brands, a content reviewer that electronically presents to a manual reviewer the mentions of ones of a plurality of keywords in proximity to ones of the electronic mentions of the respective ones of the plurality of brands, a scoring input for receiving a first of the ratings from the manual reviewer of the mentions of ones of a plurality of keywords in proximity to ones of the electronic mentions of the respective ones of the plurality of brands, at least one electronic rating input for receiving second ones of the ratings of the mentions of ones of a plurality of keywords in proximity to ones of the electronic mentions of the respective ones of the plurality of brands, and a correlator that normalizes the rating by comparing the first of the ratings to the second ones of the ratings, and that correlates ones of the plurality of brands to a desired purchaser profile in accordance with the normalized rating.

Claims

1. A computer-implemented search system for locating and rating a plurality of electronic mentions of respective ones of a plurality of endorsers, comprising:

a server computer having a tangible computer processor, the processor in data communication with a non-transitory computer memory that stores instructions which, when executed on the processor, cause the computer to implement;

a web crawl engine that finds mentions of ones of the plurality of endorsers in proximity to respective ones of a plurality of keywords;

a content reviewer that electronically presents to live reviewer the found mentions, wherein the live reviewer assigns a respective rating to respective ones of the found mentions;

a scoring input for receiving a first rating of a particular one of the found mentions from the live reviewer;

at least one electronic rating input for receiving second ratings of the same particular one of the found mentions;

a correlator that normalizes the ratings of the particular one of the found mentions at least in part by comparing the first rating to the second ratings, and that correlates ones of the plurality of endorsers to a desired purchaser profile based at least in part on the normalized rating; and

a management engine that manages the first and second ones of the ratings;

wherein said management engine grants privileges to live reviewer.

2. The search system of claim 1, wherein ones of the second ratings comprise automated ratings in accordance with a plurality of electronic scoring rules.

3. The search system of claim 1, wherein said correlator improves a transaction rate.

4. The search system of claim 1, further comprising a management engine that manages the first and second ones of the ratings.

5. The search system of claim 1, wherein the normalization comprises a minimization of variability between the first and second ratings.

6. The search system of claim 5, wherein ones of the second ratings comprise expert ratings.

7. The search system of claim 1, wherein the normalization comprises an averaging.

8. The search system of claim 1, wherein the normalization comprises an assessment of regularity of the mentions of ones of the endorsers in proximity to ones of the plurality of keywords.

9. The search system of claim 1, wherein the normalization comprises an assessment of regularity of the mentions of ones of the plurality of keywords.

10. The search system of claim 1, wherein the normalization comprises an assessment of regularity of the mentions of the respective ones of the plurality of endorsers.

11. The search system of claim 1, wherein the normalization comprises a prioritization of the keywords.

12. The search system of claim 1, wherein the normalization comprises a prioritization of the respective ones of the plurality of endorsers.

13. The search system of claim 1, wherein the normalization comprises a statistical analysis.

14. The search system of claim 1, wherein the normalization comprises an accounting of extenuating circumstances affecting the rating.

15. The search system of claim 1, wherein the correlation comprises a convergence.

16. The search system of claim 1, wherein the content reviewer comprises a graphical user interface.

17. A computer-implemented search system for locating and rating a plurality of electronic mentions of respective ones of a plurality of endorsers, comprising:

a server computer having a tangible computer processor, the processor in data communication with a non-transitory computer memory that stores instructions which, when executed on the processor, cause the computer to implement;

a web crawl engine that finds mentions of ones of the plurality of endorsers in proximity to respective ones of a plurality of keywords;

a content reviewer that electronically presents to live reviewer the found mentions, wherein the live reviewer assigns a respective rating to respective ones of the found mentions;

a scoring input for receiving a first rating of a particular one of the found mentions from the live reviewer;

at least one electronic rating input for receiving second ratings of the same particular one of the found mentions;

a correlator that normalizes the ratings of the particular one of the found mentions at least in part by comparing the first rating to the second ratings, and that correlates ones of the plurality of endorsers to a desired purchaser profile based at least in part on the normalized rating; and

a management engine that manages the first and second ones of the ratings,

wherein said management engine provides for modifications of at least one of the first rating and the second ratings.

18. The search system of claim 17, wherein ones of the second ratings comprise automated ratings in accordance with a plurality of electronic scoring rules.

19. The search system of claim 17, wherein said correlator improves a transaction rate.

20. The search system of claim 17, further comprising a management engine that manages the first and second ones of the ratings.

21. The search system of claim 17, wherein the normalization comprises a minimization of variability between the first and second ratings.

22. The search system of claim 21, wherein ones of the second ratings comprise expert ratings.

23. The search system of claim 17, wherein the normalization comprises an averaging.

24. The search system of claim 17, wherein the normalization comprises an assessment of regularity of the mentions of ones of the endorsers in proximity to ones of the plurality of keywords.

25. The search system of claim 17, wherein the normalization comprises an assessment of regularity of the mentions of ones of the plurality of keywords.

26. The search system of claim 17, wherein the normalization comprises an assessment of regularity of the mentions of the respective ones of the plurality of endorsers.

27. The search system of claim 17, wherein the normalization comprises a prioritization of the keywords.

28. The search system of claim 17, wherein the normalization comprises a prioritization of the respective ones of the plurality of endorsers.

29. The search system of claim 17, wherein the normalization comprises a statistical analysis.

30. The search system of claim 17, wherein the normalization comprises an accounting of extenuating circumstances affecting the rating.

31. The search system of claim 17, wherein the correlation comprises a convergence.

32. The search system of claim 17, wherein the content reviewer comprises a graphical user interface.

33. A computer-implemented search system for locating and rating a plurality of electronic mentions of respective ones of a plurality of endorsers, comprising:

a server computer having a tangible computer processor, the processor in data communication with a non-transitory computer memory that stores instructions which, when executed on the processor, cause the computer to implement;

a web crawl engine that finds mentions of ones of the plurality of endorsers in proximity to respective ones of a plurality of keywords;

a content reviewer that electronically presents to live reviewer the found mentions, wherein the live reviewer assigns a respective rating to respective ones of the found mentions;

a scoring input for receiving a first rating of a particular one of the found mentions from the live reviewer;

at least one electronic rating input for receiving second ratings of the same particular one of the found mentions;

a correlator that normalizes the ratings of the particular one of the found mentions at least in part by comparing the first rating to the second ratings, and that correlates ones of the plurality of endorsers to a desired purchaser profile based at least in part on the normalized rating; and

a management engine that manages the first and second ones of the ratings;

wherein said management engine trains the live reviewer.