Vertical search expansion, disambiguation, and optimization of search queries

• US 8,832,097 B2
• Filed: 03/06/2006
• Issued: 09/09/2014
• Est. Priority Date: 03/06/2006
• Status: Expired due to Fees

• Current Assignee: R2 Solutions LLC (Acacia Research Corporation)
• Original Assignee: Yahoo! Inc. (Apollo Global Management, Inc.)
• Inventors: Madhavan, Anand, Carinio, Matthew, Kantak, Darshan
• Primary Examiner(s): Trujillo, James
• Assistant Examiner(s): CONYERS, DAWAUNE A
• Application Number:
  US11/370,246
• Publication Number:
  US 20070208706A1
• Time in Patent Office: 3,109 Days
• Field of Search: 707 1- 10, 707100-1041, 707/728
• US Class Current: 707/728
• CPC Class Codes: G06F 16/903 Querying for retrieval from the web G06F16/953
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

A system and method to facilitate expansion, disambiguation, and optimization of search queries over a network wherein an original query received from a user is parsed to obtain at least one query term. One or more filtered queries are retrieved from a database, each of the filtered queries corresponding to one or more advertising offers related contextually to the at least one query term. Selection of advertising content associated with the advertising offers is optimized based on one or more predetermined parameters, the advertising content to be displayed for the user in conjunction with query results of the original query and the one or more filtered queries.

Claims

1. A method to select advertising content for display on a web page, the method comprising:

parsing, in a computer, an original search query received from a user over a network through a query web page to obtain at least one parsed search query term;

retrieving a plurality of keywords from a database, wherein said keywords relate contextually to a category of said query web page;

generating, in a computer, a set of modified queries, each modified query comprising said at least one query term and at least one keyword;

retrieving, from a database, a plurality of advertising offers related to said modified queries;

removing, in a computer, any advertising offer that is not related contextually to said category of said query web page;

storing, in a database, as filtered modified queries, said modified queries corresponding to advertising offers not removed;

thereafter, receiving, in a computer, a subsequent search query received from a user over a network through a corresponding query web page;

retrieving a plurality of filtered modified queries from a database related to said subsequent search query and said corresponding query web page;

retrieving advertising offers related to said filtered modified queries retrieved; and

retrieving advertising content from a database related to an advertising offer retrieved.

2. The method according to claim 1, further comprising generating said modified queries, comprising:

identifying a category based on said query web page;

retrieving at least one keyword based on said category of said query web page; and

generating at least one modified query comprising a combination of said parsed search query term and said keyword.

3. The method according to claim 2, wherein generating said filtered modified queries further comprises:

retrieving a plurality of advertising offers for each modified query and each original query;

selecting advertising offers related contextually to said modified query and each original query; and

filtering said set of modified queries and said original query based on whether said modified queries and said original queries are contextually related to said category of said query web page to generate at least one filtered query.

4. The method according to claim 1, wherein said retrieving a plurality of filtered modified queries from a database related to said subsequent search query and said corresponding query web page further comprises:

accessing said database; and

matching said at least one query term to said at least one filtered modified query previously stored in said database.

5. The method according to claim 1, further comprising:

optimizing said at least one advertising offer according to at least one predetermined parameter.

6. The method according to claim 1, further comprising:

optimizing said at least one filtered modified query according to said at least one predetermined parameter.

7. The method according to claim 5, wherein:

the at least one predetermined parameter used to rank the advertising offers includes at least one of a pay per click (PPC) categorization parameter and a click through rate (CTR) categorization parameter.

8. The method according to claim 1, further comprising:

transmitting said advertising content, said original search query, and a search result relevant to the original search query to the user for display on a web page.

9. A computer readable medium containing executable instructions, which, when executed in a processing system, cause the processing system to perform a method comprising:

parsing, in a computer, an original search query received from a user over a network through a query web page to obtain at least one parsed search query term;

retrieving a plurality of keywords from a database, wherein said keywords relate contextually to a category of said query web page;

generating, in a computer, a set of modified queries, each modified query comprising said at least one query term and at least one keyword;

retrieving, from a database, a plurality of advertising offers related to said modified queries;

removing, in a computer, any advertising offer that is not related contextually to said category of said query web page;

storing, in a database, as filtered modified queries, said modified queries corresponding to advertising offers not removed;

thereafter, receiving, in a computer, a subsequent search query received from a user over a network through a corresponding query web page;

retrieving a plurality of filtered modified queries from a database related to said subsequent search query and said corresponding query web page;

retrieving advertising offers related to said filtered modified queries retrieved; and

retrieving advertising content from a database related to an advertising offer retrieved.

10. The computer readable medium according to claim 9, further comprising generating said modified queries, comprising:

identifying a category based on said query web page;

retrieving at least one keyword based on said category of said query web page; and

generating at least one modified query comprising a combination of said parsed search query term and said keyword.

11. The computer readable medium according to claim 10, wherein generating said filtered modified queries further comprises:

retrieving a plurality of advertising offers for each modified query and each original query;

selecting advertising offers related contextually to said modified query and each original query; and

filtering said set of modified queries and said original query based on whether said modified queries and said original queries are contextually related to said category of said query web page to generate at least one filtered query.

12. The computer readable medium according to claim 9, wherein said retrieving a plurality of filtered modified queries from a database related to said subsequent search query and said corresponding query web page further comprises:

accessing said database; and

matching said at least one query term to said at least one filtered query previously stored in said database.

13. The computer readable medium according to claim 9, comprising:

optimizing said at least one advertising offer according to said at least one predetermined parameter.

14. The computer readable medium according to claim 13, wherein:

the at least one predetermined parameter used to rank the advertising offers includes at least one of a pay per click (PPC) categorization parameter and a click through rate (CTR) categorization parameter.

15. The computer readable medium according to claim 9, further comprising:

optimizing said at least one filtered modified query according to said at least one predetermined parameter.

16. The computer readable medium according to claim 9, further comprising:

transmitting said advertising content, said original search query, and a search result relevant to the original search query to the user for display on a web page.

17. A system to select advertising content for display on a web page, the system comprising:

a server, comprising a processor and memory, for;

parsing an original search query received from a user over a network through a query web page to obtain at least one parsed search query term;

retrieving a plurality of keywords from a database, wherein said keywords relate contextually to a category of said query web page;

generating, in a computer, a set of modified queries, each modified query comprising said at least one query term and at least one keyword;

retrieving, from a database, a plurality of advertising offers related to said modified queries;

removing, in a computer, any advertising offer that is not related contextually to said category of said query web page;

storing, in a database, as filtered modified queries, said modified queries corresponding to advertising offers not removed;

thereafter, receiving, in a computer, a subsequent search query received from a user over a network through a corresponding query web page;

retrieving a plurality of filtered modified queries from a database related to said subsequent search query and said corresponding query web page;

retrieving advertising offers related to said filtered modified queries retrieved; and

retrieving advertising content from a database related to an advertising offer retrieved.

18. The system according to claim 17, said server for further generating said filtered queries, comprising:

identifying a category based on said query web page;

retrieving at least one keyword based on said category of said query web page; and

generating at least one modified query comprising a combination of said parsed search query term and said keyword.

19. The system according to claim 18, said server for further generating said filtered modified queries, comprising:

retrieving a plurality of advertising offers for each modified query and each original query;

selecting advertising offers related contextually to said modified query and each original query; and

filtering said set of modified queries and said original query based on whether said modified queries and said original queries are contextually related to said category of said query web page to generate at least one filtered query.

20. The system according to claim 17, said server for further:

optimizing said at least one advertising offer according to at least one predetermined parameter.