Disaggregation to isolate users for ad targeting

• US 9,646,327 B2
• Filed: 08/09/2011
• Issued: 05/09/2017
• Est. Priority Date: 08/09/2011
• Status: Expired due to Fees

• Current Assignee: R2 Solutions LLC (Acacia Research Corporation)
• Original Assignee: Yahoo! Inc. (Apollo Global Management, Inc.)
• Inventors: Kilroy, Jonathan, Nussel, Dale, Seth, Anupam, Watfa, Allie K.
• Primary Examiner(s): Sittner, Matthew T
• Application Number:
  US13/206,302
• Publication Number:
  US 20130041757A1
• Time in Patent Office: 2,100 Days
• Field of Search: 705 1452, 705 1453
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute

Abstract

Targeting advertisements to a specific user includes steps or acts of: identifying an area of interest that includes a plurality of users using the Internet; logging each Internet request from the plurality of users; aggregating data regarding each Internet request to reveal use patterns; and disaggregating the data according to the use patterns to match the Internet use pattern with the specific user, thus identifying the specific user with each Internet request.

Claims

1. A method for disaggregating to isolate users for targeting advertisements to a specific user, the method comprising:

using a processor device configured to perform;

identifying a location comprising a plurality of users using the Internet;

isolating a cluster of Internet users within the identified location;

tracking web activity over time among the cluster of Internet users at the identified location by logging each Internet request from the cluster in a first log;

aggregating data regarding each Internet request to reveal use patterns, wherein the data comprises a plurality of Internet use parameters recorded for each Internet request;

disaggregating the data by grouping the data according to the use patterns;

generating a second log comprising the disaggregated, grouped data;

using the second log to match a first Internet use pattern with a first Internet user and a second Internet use pattern with a second Internet user different than the first Internet user to;

identify the first Internet user without a logging in to a site by the first Internet user to specify an identity of the first Internet user; and

identify the second Internet user without a logging in to the site by the second Internet user to specify an identity of the second Internet user different than the identity of the first Internet user,

wherein the matching is performed based upon at least one of;

websites accessed by the first Internet user;

websites accessed by the second Internet user;

a first activity trend of the first Internet user;

a second activity trend of the second Internet user;

a first time of use of the first Internet user;

a second time of use of the second Internet user;

a first device of the first Internet user;

or

a second device of the second Internet user,

wherein the first Internet user and the second Internet user access the Internet through a same IP address or gateway;

using geolocation of a mobile device of the first Internet user or the second Internet user to confirm at least one of the match of the first Internet use pattern with the first Internet user or the match of the second Internet use pattern with the second Internet user;

generating a first profile for the first Internet user and a second profile for the second Internet user using the second log;

responsive to determining that a first Internet request corresponds to the first Internet user based upon the first Internet use pattern, providing one or more advertisements targeted to the first Internet user based upon the first profile; and

responsive to determining that a second Internet request corresponds to the second Internet user based upon the second Internet use pattern, providing one or more advertisements targeted to the second Internet user based upon the second profile.

2. The method of claim 1 wherein the web activity comprises one or more Internet requests received from two or more devices.

3. The method of claim 1, wherein the site performs the matching.

4. The method of claim 1 further comprising updating the second log with Internet activity, wherein the Internet activity comprises a user login.

5. The method of claim 1 wherein the web activity comprises one or more Internet requests received from three or more devices.

6. The method of claim 1 wherein the first profile is different than the second profile.

7. The method of claim 1 wherein the one or more advertisements targeted to the first Internet user are different than the one or more advertisements targeted to the second Internet user.

8. An information processing system for disaggregating to isolate users for targeting advertisements to a specific user, the system comprising:

a memory; and

a processor device operably coupled to the memory and executing instructions to;

identify a location comprising a plurality of users using the Internet;

isolate a cluster of Internet users within the identified location;

track web activity over time among the cluster of Internet users at the identified location by logging each Internet request from the cluster in a first log;

aggregate data regarding each Internet request to reveal use patterns, wherein the data comprises a plurality of Internet use parameters recorded for each Internet request;

disaggregate the data by grouping the data according to the use patterns;

generate a second log comprising the disaggregated, grouped data;

use the second log to match a first Internet use pattern with a first Internet user and a second Internet use pattern with a second Internet user different than the first Internet user;

without a logging in to a site by the first Internet user; and

without a logging in to the site by the second Internet user,

wherein the matching is performed based upon at least one of;

websites accessed by the first Internet user;

websites accessed by the second Internet user;

a first activity trend of the first Internet user;

a second activity trend of the second Internet user;

a first time of use of the first Internet user;

a second time of use of the second Internet user;

a first device of the first Internet user;

or

a second device of the second Internet user,

wherein the first Internet user and the second Internet user access the Internet through a same IP address or gateway;

generate a first profile for the first Internet user and a second profile for the second Internet user using the second log;

responsive to determining that a first Internet request corresponds to the first Internet user based upon the first Internet use pattern, provide one or more advertisements targeted to the first Internet user based upon the first profile; and

responsive to determining that a second Internet request corresponds to the second Internet user based upon the second Internet use pattern, provide one or more advertisements targeted to the second Internet user based upon the second profile.

9. The information processing system of claim 8 wherein the first profile corresponds to likes and dislikes of the first Internet user and the second profile corresponds to likes and dislikes of the second Internet user.

10. The information processing system of claim 8 wherein the processor device further updates the second log with Internet activity, wherein the Internet activity comprises an advertisement conversion.

11. The information processing system of claim 8 wherein the processor device further updates the second log with Internet activity, wherein the Internet activity comprises a user login.

12. The information processing system of claim 8 wherein the web activity comprises one or more Internet requests received from two or more devices.

13. The information processing system of claim 8 wherein the first profile is different than the second profile.

14. The information processing system of claim 8 wherein the one or more advertisements targeted to the first Internet user are different than the one or more advertisements targeted to the second Internet user.

15. A computer program product comprising a non-transitory computer readable storage medium comprising instructions that, when executed by a processor device, cause a computer to:

track web activity among a cluster of Internet users by logging one or more Internet requests from the cluster;

use the web activity to match a first Internet use pattern with a first Internet user and a second Internet use pattern with a second Internet user different than the first Internet user at least one of;

without a logging in to a site by the first Internet user to specify an identity of the first Internet user;

or

without a logging in to the site by the second Internet user to specify an identity of the second Internet user different than the identity of the first Internet user,

wherein the matching is performed based upon at least one of;

websites accessed by the first Internet user;

websites accessed by the second Internet user;

a first activity trend of the first Internet user;

a second activity trend of the second Internet user;

a first time of use of the first Internet user;

a second time of use of the second Internet user;

a first device of the first Internet user;

or

a second device of the second Internet user;

generate a first profile for the first Internet user and a second profile for the second Internet user;

responsive to determining that a first Internet request corresponds to the first Internet user based upon the first Internet use pattern, provide content targeted to the first Internet user based upon the first profile; and

responsive to determining that a second Internet request corresponds to the second Internet user based upon the second Internet use pattern, provide content targeted to the second Internet user based upon the second profile.

16. The computer program product of claim 15 wherein the one or more Internet requests are received from two or more devices.

17. The computer program product of claim 15 wherein the cluster of internet users comprises three or more Internet users.

18. The computer program product of claim 15 wherein the cluster of internet users comprises four or more Internet users.

19. The computer program product of claim 15 wherein the first profile is different than the second profile.

20. The computer program product of claim 15 wherein the content targeted to the first Internet user is different than the content targeted to the second Internet user.