SEARCH QUERY MONETIZATION-BASED RANKING AND FILTERING

• US 20080033797A1
• Filed: 08/01/2006
• Published: 02/07/2008
• Est. Priority Date: 08/01/2006
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Chellapilla, Kumar H., Chickering, David M., Meek, Christopher A.
• Application Number:
  US11/461,552
• Publication Number:
  US 20080033797A1
• Time in Patent Office: Days
• US Class Current: 705/14
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0256 User search
• CPC Class Codes: G06Q 30/0275 Auctions
• CPC Class Codes: G06Q 30/0277 Online advertisement

Abstract

Advertiser monetization information is utilized to determine a search query monetization value that can be employed in web-search ranking to facilitate in ranking search results and/or in email spam filtering to reduce unsolicited emails and the like. Various methods can be employed to filter and/or rank and the like based on the search query monetization value. This can include biasing based on high values and/or low values. The search query monetization value can be determined based on, for example, independent phrases and/or bids. In other instances, personal user advertising interactions can be employed as well to facilitate search result ranking and/or email spam filtering. Employment of search query monetization value techniques can substantially reduce various types of subversive/undesired information.

Claims

1. A system that values search queries, comprising:

a receiving component that obtains advertiser monetization information and at least one search query from a user; and

an advertiser-monetization value component that determines a value for the search query based on, at least in part, the advertiser monetization information.

2. The system of claim 1, the advertiser-monetization value component utilizes independent phrase values and/or independent bids to facilitate determination of the search query monetization value.

3. The system of claim 1, the receiving component obtains the advertiser monetization information from a search engine and/or an advertising system.

4. The system of claim 1 further comprising:

a web-search ranking component that ranks search results based on, at least in part, the search query monetization value.

5. The system of claim 4, the web-search ranking component employs a low and/or high monetization value-based technique to determine search result ranking.

6. The system of claim 4, the web-search ranking component employs specific user advertisement interactions to facilitate determination of search result ranking.

7. The system of claim 1 further comprising:

an email spam filtering component that filters emails based on, at least in part, the search query monetization value.

8. The system of claim 7, the email spam filtering component employs specific user advertisement interactions to facilitate filtering of the emails.

9. A method for filtering organic search results, comprising:

obtaining advertiser monetization information relating to search queries;

determining a monetization value for a search query utilizing, at least in part, the advertising monetization information and a monetization value map; and

employing at least one filtering process that filters search results for the search query based on, at least in part, the search query monetization value.

10. The method of claim 9 further comprising:

employing specific user advertisement interactions to facilitate search result filtering.

11. The method of claim 9 further comprising:

utilizing the filtering process to rank the search results based on, at least in part, the search query monetization value.

12. The method of claim 9 further comprising:

employing specific user advertisement interactions to facilitate determination of search result ranking.

13. The method of claim 12 further comprising:

utilizing the specific user advertisement interactions to determine spam associated topics that are desirable to a specific user; and

including search results related to the desirable spam associated topics in the search result ranking.

14. The method of claim 9 further comprising:

utilizing a monetization value map based on, at least in part, an independent phrase value map and/or a map based on, at least in part, an independent bids map.

15. The method of claim 9 further comprising:

employing a single monetization value query process and/or low and/or high monetization value query processes for the filtering process.

16. A method for reducing email spam, comprising:

obtaining advertiser monetization information relating to search queries;

determining a monetization value for a search query utilizing, at least in part, the advertising monetization information and a monetization value map; and

filtering email spam by employing, at least in part, search query monetization values.

17. The method of claim 16 further comprising:

employing specific user advertisement interactions to facilitate email spam filtering.

18. The method of claim 17 further comprising:

utilizing the specific user advertisement interactions to determine spam associated topics that are desirable to a specific user; and

providing spam emails related to the desirable spam associated topics to the specific user.

19. The method of claim 16 further comprising:

utilizing a monetization value map based on, at least in part, an independent phrase value map and/or a map based on, at least in part, an independent bids map.

20. The method of claim 16 further comprising:

employing a single monetization value query process and/or low and/or high monetization value query processes for the ranking process.