ENHANCED ADVERTISEMENT TARGETING

• US 20100268600A1
• Filed: 04/12/2010
• Published: 10/21/2010
• Est. Priority Date: 04/16/2009
• Status: Abandoned Application

• Current Assignee: VCVC III LLC (Vulcan, Inc.)
• Original Assignee: EVRI Incorporated
• Inventors: Gadre, Aniruddha, Barrows, Christopher J., Banko, Michele L., Liang, Jisheng, Koperski, Krzysztof
• Application Number:
  US12/758,690
• Publication Number:
  US 20100268600A1
• Time in Patent Office: Days
• US Class Current: 705/14.520
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0254 based on statistics

Abstract

Methods, techniques, and systems for advertisement targeting are provided. Example embodiments provide an enhanced ad targeting system (“EATS”), which given one or more products, determines keywords to associate with those products and which, given one or more entities, determines related products for which ads can be targeted. In some embodiments, the EATS uses semantic analysis and relationship searching to aid in the selection of ads more relevant to a context or search query.

Claims

1. A computer-implemented method for targeting advertisements to online content, comprising:

determining a particular entity whose popularity has changed in a designated amount of time;

when the particular entity is not a product, determining one or more products that relate to the particular entity and causing advertisements relating to the one or more of the determined one or more products that relate to the particular entity to be presented on a display screen in conjunction with online content that relates to the particular entity; and

when the particular entity is a product, determining one or more keywords that relate to the particular entity and causing advertisements to be associated with the one or more keywords such that one or more of the advertisements are presented on the display screen in conjunction with online content that relates to the determined one or more keywords.

2. The method of claim 1 wherein the keywords are used to implement an advertising bidding system for generating online ad revenue.

3. The method of claim 1 wherein the determining the particular entity whose popularity has changed in a designated amount of time is determined by tracking a first derivative of frequency of online mentions of the particular entity.

4. The method of claim 1 wherein the determining the one or more products that relate to the particular entity is performed by semantically analyzing content where the particular entity is mentioned.

5. The method of claim 1 wherein the determining the one of more keywords that relate to the particular entity is performed by semantically analyzing content where the particular entity is mentioned.

6. The method of claim 5 wherein the content is online content from an article or a document.

7. The method of claim 5 wherein the content is a search engine query.

8. The method of claim 4 wherein the content is on line content from an article or a document.

9. The method of claim 4 wherein the content is a search engine query.

10. A computer-readable medium containing content for controlling a computer processor to perform a method comprising:

determining a particular entity whose popularity has changed in a designated amount of time;

when the particular entity is not a product, automatically determining one or more products that relate to the particular entity and causing advertisements relating to the one or more of the determined one or more products that relate to the particular entity to be presented in conjunction with online content that relates to the particular entity; and

when the particular entity is a product, automatically determining one or more keywords that relate to the particular entity using related entities, related facets, and/or related terms, and causing advertisements to be associated with the one or more keywords such that one or more of the advertisements are presented in conjunction with online content that relates to the determined one or more keywords.

11. The computer-readable medium of claim 10, wherein the medium is a computer memory and the content are computer instructions.

12. An online computing environment, comprising:

a semantic keyword recommender, stored in one or more computer memories, and configured when executed to;

receive one or more indications of products;

determine one or more entities related to the received product indications and one or more categories related to the received product indications;

determine zero or more related terms related to the received product indications; and

generate one or more keywords for associating with online advertisements and return indications of the generated keywords; and

an electronic advertisement payment system that utilizes the generated keywords to make available one or more online advertisements.

13. The computing environment of claim 12, further comprising an advertisement matching selection system that determines an advertisement to present online based upon available advertisements that are associated with one of the one or more determined keywords.

14. The computing environment of claim 12 wherein the determined categories related to the received product indications are facets related to two or more of the determined entities.

15. The computing environment of claim 12 wherein the determined one or more entities related to the received product are determined based upon semantically analyzing content.

16. The computing environment of claim 12 wherein the generate one or more keywords for associating with online advertisements are generated by scoring a list of entities and/or related terms and/or related categories.

17. The computing environment of claim 12 wherein the electronic advertisement payment system is an online keyword bidding system.

19. The computer-readable medium of claim 12, wherein the medium is a computer memory and the content are computer instructions.

18. A computer-readable medium containing content that controls a computer processor to perform a method comprising:

receiving one or more indications of products;

determining one or more entities related to the received product indications and one or more facets related to the received product indications by semantic analysis of online content;

determining zero or more related terms related to the received product indications;

automatically generating one or more keywords for associating with online advertisements and return indications of the generated keywords; and

providing the generated keywords to an electronic advertisement payment system that utilizes the generated keywords to make available one or more online advertisements.

20. An online computing environment, comprising:

a semantic product recognizer, stored in a computer memory and configured, when executed to;

receive one or more indications of entities; and

determine one or more corresponding related products; and

an advertisement matching selection engine, stored in a computer memory and configured, when executed to;

determine one or more advertisements that correspond to the determined one or more related products; and

present the determined one or more advertisements in conjunction with content regarding the received one or more indications of entities.

21. The online computing environment of claim 20 wherein the advertisement matching selection engine is further configured to communicate with an ad server to determine the one or more advertisements that correspond to the determined one or more related products.

22. The online computing environment of claim 20 wherein the advertisement matching selection engine is further configured to access an advertisement data repository to determine the one or more advertisements that correspond to the determined one or more related products.

23. The online computing environment of claim 20 wherein the semantic product recognizer is further configured, when executed to:

determine the one or more corresponding related products by tagging and/or recognizing entities in underlying content and determine categories related to the tagged and/or recognized entities.

24. The online computing environment of claim 23 wherein the categories are facets related to two or more of the tagged and/or recognized entities.

25. The online computing environment of claim 23 wherein the semantic product recognizer is further configured, when executed to:

determine the one or more corresponding related products by determining products related to the determined categories.

26. The online computing environment of claim 20 wherein the one or more indications of entities are received from semantically analyzing content.

27. The online computing environment of claim 26 wherein the content is a search engine query.

29. The computer-readable medium of claim 20, wherein the medium is a computer memory and the content are computer instructions.

28. A computer-readable medium containing content that controls a computer processor to perform a method comprising:

receiving one or more indications of entities;

determining one or more corresponding related products; and

providing the determined related products to an advertisement matching selection engine that is configured to determine one or more advertisements that correspond to the determined one or more related products, such that the advertisements can be presented in conjunction with content regarding the received one or more indications of entities.