Apparatus, system and method for a brand affinity engine using positive and negative mentions and indexing

• US 20100076838A1
• Filed: 10/14/2009
• Published: 03/25/2010
• Est. Priority Date: 09/07/2007
• Status: Active Grant

• Current Assignee: Veritone Media
• Original Assignee: Brand Affinity Technologies, Inc.
• Inventors: Steelberg, Ryan, Steelberg, Chad
• Granted Patent: US 8,548,844 B2
• Time in Patent Office: Days
• US Class Current: 705/14.440
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0245 Surveys
• CPC Class Codes: G06Q 30/0282 Rating or review of business operators or products

Abstract

An apparatus, system and method of implementing a computerized brand affinity engine. The apparatus, system and method include at least a plurality of computerized access points having accessible thereto a plurality of sites mentioning at least one sponsor, a categorized, hierarchical database of keywords, wherein at least the keywords falling in at least one category of the hierarchy correspond to a sponsor category of the at least one sponsor, and a tracker, wherein the tracker tracks positive ones of the mentions of the at least one sponsor on ones of the plurality of sites and negative ones of the mentions of the at least one sponsor on ones of the plurality of sites, in accordance with positive and negative keywords of the categorized, hierarchical database in the sponsor category, and wherein the tracker issues an rating with regard to the at least one sponsor in accordance with the positive ones and the negative ones of the mentions. An assessment of optimal sponsors for particular markets and/or in particular geographies that additionally increases sponsorship opportunities in particular markets and/or in particular geographies is thereby provided.

Claims

1. A data mining engine for use in a brand affinity application, comprising:

at least one search engine that searches a plurality of RSS feeds for mention of at least one key word;

a ratings engine that provides for a rating of the mention of the at least one key word in each of the plurality of RSS feeds;

an information engine that accesses information regarding a number of viewings of each of the plurality of RSS feeds;

a repository that stores each of the plurality of RSS feeds in accordance with a categorical hierarchy;

a data miner that is communicatively connected to each of the search engine and the repository, wherein the data miner provides a consumer opinion index of the at least one keyword indicated by a correlation of the rating of the mentions and the number of viewings, and wherein the RSS feed, the mention of the keyword, and the consumer opinion index are searchable in conjunction according to the categorical hierarchy, and wherein the mentions of the at least one key word are permanently available from the repository responsive to the search.

2. The data mining engine of claim 1, wherein said at least one search engine searches at least daily.

3. The data mining engine of claim 1, wherein said at least one search engine searches at least weekly.

4. The data mining engine of claim 1, wherein the at least one key word includes a surname.

5. The data mining engine of claim 1, wherein the at least one key word includes a brand name.

6. The data mining engine of claim 1, wherein the at least one key word includes an adjective.

7. The data mining engine of claim 1, wherein the at least one key word includes an noun.

8. The data mining engine of claim 1, wherein the at least one key word includes a phrase.

9. The data mining engine of claim 1, wherein the consumer opinion index is displayed in relation to a location of the mention.

10. The data mining engine of claim 1, wherein the RRS feeds include any web assessable content.

11. The data mining engine of claim 1, wherein the RRS feeds are limited to a predefined geographic scope.

12. The data mining engine of claim 1, wherein the RRS feeds are limited to a predefined event.

13. The data mining engine of claim 1, wherein said ratings engine comprises a manual one of the ratings.

14. The data mining engine of claim 1, wherein said ratings engine comprises an automatically issued one of the ratings.

15. The data mining engine of claim 1, wherein said at least one search engine comprises a web crawler.

16. The data mining engine of claim 1, wherein the information regarding the number of viewings comprises information provided by a provider of the RSS feed.

17. The data mining engine of claim 1, wherein said repository comprises at least one relational database.

18. The data mining of claim 1, wherein the mention comprises an endorsed advertisement.

19. The data mining of claim 1, wherein the mention comprises a press release.

20. The data mining of claim 1, wherein the mention comprises a news release.