Predicting demographic attributes based on online behavior

• US 20070208728A1
• Filed: 03/03/2006
• Published: 09/06/2007
• Est. Priority Date: 03/03/2006
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Chen, Zheng, Najm, Tarek, Zhang, Benyu, Li, Ying, Zeng, Hua-Jun, Mah, Teresa, Dai, Honghua, Shipunov, Vladimir, Qi, Li
• Application Number:
  US11/366,526
• Publication Number:
  US 20070208728A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/337 Profile generation, learning or modification
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques

Abstract

This invention provides a system and method for predicting user demographic attributes for non-registered users and users with incomplete profiles. The invention uses demographic information from registered users and user search history logs to create a database of information that associates the users'"'"' search history habits with their demographic attributes. The invention creates a first database that associates users'"'"' search query history with their demographic attributes, and also creates a second database that associates web pages that users have visited frequently along with the users'"'"' demographic attributes. The invention can compare the searching and browsing habits of non-registered users and users with incomplete profiles to the searching and browsing habits of registered users. Through the comparison, the invention can use the corresponding demographic attributes of the registered users to predict the demographic attributes of the non-registered users and the registered users with incomplete profiles.

Claims

1. A method for predicting user demographic attributes, comprising:

receiving a search query;

extracting at least one feature associated with the search query;

correlating each extracted feature with one or more attributes; and

determining a demographic profile based on the correlated attributes.

2. The method according to claim 1, wherein the at least one feature is extracted from a snippet associated with the search query.

3. The method according to claim 1, further comprising providing a confidence level that is represented by a confidence identifier.

4. The method according to claim 3, further comprising charging an advertiser a price for the at least one search query based on the confidence identifier.

5. The method according to claim 4, wherein the confidence identifier is a percentage and the price is an original price multiplied by the percentage.

6. The method according to claim 2, wherein the snippet is associated with a document.

7. The method according to claim 6, further comprising extracting at least one feature associated with the document.

8. The method according to claim 7, further comprising correlating each extracted feature with one or more attributes.

9. The method according to claim 8, further comprising determining a demographic profile based on the correlated attributes.

10. A method for predicting user demographic attributes, comprising:

identifying a document;

extracting at least one feature associated with the identified document;

correlating the at least one feature with one or more attributes; and

determining a first demographic profile based on the one or more attributes.

11. The method according to claim 10, wherein a confidence level is provided that is represented by a confidence identifier.

12. The method according to claim 11, further comprising charging an advertiser a price for the at least one web page based on the confidence identifier.

13. The method according to claim 12, wherein the confidence identifier is a percentage and the price is an original price multiplied by the percentage.

14. The method according to claim 10, wherein the identified document is associated with a search query.

15. The method according to claim 14, further comprising extracting one or more features associated with the search query.

16. The method according to claim 15, wherein the one or more features are extracted from a snippet associated with the query.

17. The method according to claim 15, further comprising correlating the one or more features with at least one attribute.

18. The method according to claim 16, further comprising determining a second demographic profile based on the at least one attribute.

19. A method for predicting user demographic attributes, comprising:

receiving at least one search query;

identifying at least one web page;

determining a first demographic profile associated with the at least one search query;

determining a second demographic profile associated with the at least one web page; and

determining a third demographic profile based on the first and second demographic profiles.

20. The method according to claim 19, wherein determining the third demographic profile further comprises voting for demographic attributes within the first and second demographic profiles that have a higher corresponding confidence identifier.