AUTOMATIC EXPANSION OF AN ADVERTISEMENT OFFER INVENTORY

• US 20130132365A1
• Filed: 06/03/2011
• Published: 05/23/2013
• Est. Priority Date: 06/03/2011
• Status: Active Grant

• Current Assignee: Adobe Inc.
• Original Assignee: Adobe Systems Incorporated (Adobe Inc.)
• Inventors: CHANG, WALTER, Baum, Geoff
• Granted Patent: US 8,635,107 B2
• Time in Patent Office: Days
• US Class Current: 707/710
• CPC Class Codes: G06F 16/3344 using natural language analysis
• CPC Class Codes: G06F 16/335 Filtering based on additional data, e.g. user or group profiles filtering in web context G06F16/9535, G06F16/9536
• CPC Class Codes: G06F 16/367 Ontology
• CPC Class Codes: G06Q 30/0241 Advertisements
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute

Abstract

An extensible offer inventory database of offers in a domain is established. Further, an offer ontology is generated based on the extensible offer inventory database. The offer ontology provides an extensible vocabulary that correlates to categories in the offer inventory database. In addition, offers are automatically located. The offers are also semantically analyzed to generate semantic analysis data. Further, user data is obtained. In addition, an optimal offer match is automatically determined based upon the semantic analysis data and the user data.

Claims

1. A hardware computer storage medium comprising a computer readable program stored thereon that, responsive to execution on a computer, causes the computer to perform operations comprising:

establishing an extensible offer inventory database in a domain;

generating an offer ontology based on the extensible offer inventory database, the offer ontology providing an extensible vocabulary that correlates offers to categories in the offer inventory database;

automatically locating the offers;

semantically analyzing text of the offers to generate semantic analysis data;

obtaining user data of a user from a user data source, the user data source comprising at least one of a user purchase history or a user product wishlist;

automatically determining an offer based upon the semantic analysis data and the user data;

providing the offer to the user; and

recording whether the user views, discards, or views and accepts the offer.

2. The hardware computer storage medium of claim 1, wherein the computer readable program responsive to execution by the computer causes the computer to perform operations further comprising performing a web crawl of a plurality of websites to find an offer for the extensible offer inventory database.

3. The hardware computer storage medium of claim 1, wherein the computer readable program responsive to execution by the computer causes the computer to perform operations further comprising indexing offers from a plurality of e-catalogs.

4. The hardware computer storage medium of claim 1, wherein the computer readable program responsive to execution by the computer causes the computer to perform operations further comprising indexing a partner offer.

5. The hardware computer storage medium of claim 1, wherein the computer readable program responsive to execution by the computer causes the computer to perform operations further comprising directly importing a search engine offer from a third-party website.

6. The hardware computer storage medium of claim 1, wherein the offer is for a product.

7. The hardware computer storage medium of claim 1, wherein the offer is for a service.

8. The hardware computer storage medium of claim 1, wherein the offer is for content.

9. A method comprising:

establishing an extensible offer inventory database in a domain;

generating an offer ontology based on the extensible offer inventory database, the offer ontology providing an extensible vocabulary that correlates offers to categories in the offer inventory database;

automatically locating the offers;

semantically analyzing text of the offers to generate semantic analysis data;

obtaining user data of a user from a user data source, the user data source comprising at least one of a user purchase history or a user product wishlist;

automatically determining an offer based upon the semantic analysis data and the user data;

providing the offer to the user; and

recording whether the user views, discards, or views and accepts the offer.

10. The method of claim 9, further comprising performing a web crawl of a plurality of websites to find an offer for the extensible offer inventory database.

11. The method of claim 9, further comprising indexing offers from a plurality of e-catalogs.

12. The method of claim 9, further comprising indexing a partner offer.

13. The method of claim 9, further comprising directly importing a search engine offer from a third-party website.

14. The method of claim 9, wherein the offer is for a product.

15. The method of claim 9, wherein the offer is for a service.

16. The method of claim 9, wherein the offer is for content.

17. A system comprising:

an extensible offer inventory database in a domain;

an offer ontology engine that generates an offer ontology based on the extensible offer inventory database, the offer ontology providing an extensible vocabulary that correlates to categories in the offer inventory database;

an advertisement location module that automatically locates the offers;

a semantic analysis module that semantically analyzes text of the offers to generate semantic analysis data;

a reception module that receives user data of a user from a user data source, the user data source comprising at least one of a user purchase history or a user product wishlist;

a processor that automatically;

determines an offer based upon the semantic analysis data and the user data;

provides the offer to the user; and

initiates recording of whether the user views, discards, or views and accepts the offer.

18. The system of claim 17, wherein the offer is for a product.

19. The system of claim 17, wherein the offer is for a service.

20. The system of claim 17, wherein the offer is for content.