System and method for searching media assets

• US 20100131336A1
• Filed: 11/06/2009
• Published: 05/27/2010
• Est. Priority Date: 09/07/2007
• Status: Active Grant

• Current Assignee: Veritone Media
• Original Assignee: Veritone Media
• Inventors: Steelberg, Ryan, Steelberg, Chad
• Granted Patent: US 8,725,563 B2
• Time in Patent Office: Days
• US Class Current: 705/10
• 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 search engine for locating and rating a plurality of electronic mentions of respective ones of a plurality of brands, comprising:

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.

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

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

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

5. The search engine of claim 4, wherein said management engine associates ones of the second ones of the ratings with expert ones of the manual reviewers, and converts ones of the manual reviewers providing the first ratings to experts in accordance with said correlator.

6. The search engine of claim 4, wherein said management engine grants privileges to ones of the manual reviewer.

7. The search engine of claim 4, wherein said management engine provides for modifications of at least one of the first rating and the second ones of the rating.

8. The search engine of claim 4, wherein said management engine trains ones of the manual reviewers.

9. The search engine of claim 1, wherein the normalization comprises a minimization of variability between the first and second ones of the ratings.

10. The search engine of claim 9, wherein ones of the second ones of the ratings comprise expert ratings.

11. The search engine of claim 1, wherein the normalization comprises an averaging.

12. The search engine of claim 1, wherein the normalization comprises an assessment of regularity of the mentions of ones of the plurality of keywords in proximity to ones of the electronic mentions of the respective ones of the plurality of brands.

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

14. The search engine of claim 1, wherein the normalization comprises an assessment of regularity of the mentions of the respective ones of the plurality of brands.

15. The search engine of claim 1, wherein the normalization comprises a prioritization of the keywords.

16. The search engine of claim 1, wherein the normalization comprises a prioritization of the respective ones of the plurality of brands.

17. The search engine of claim 1, wherein the normalization comprises a statistical analysis.

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

19. The search engine of claim 1, wherein the correlation comprises a convergence.

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