SYSTEMS AND METHODS FOR CREATING USER INTEREST PROFILES

• US 20110016206A1
• Filed: 07/15/2009
• Published: 01/20/2011
• Est. Priority Date: 07/15/2009
• Status: Abandoned Application

• Current Assignee: Alcatel-Lucent USA, Inc. (Nokia Corporation)
• Original Assignee: Alcatel-Lucent USA, Inc. (Nokia Corporation)
• Inventors: Kodialam, Muralidharan Sampath, Lakshman, Tirunell V., Wang, Limin, Mukherjee, Sarit
• Application Number:
  US12/503,265
• Publication Number:
  US 20110016206A1
• Time in Patent Office: Days
• US Class Current: 709/224
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

Example methods include monitoring Internet traffic for a user, analyzing content of the Internet traffic, correlating the analyzed content with a simplified classifier set, ranking each correlated simplified classifier in the simplified classifier set, and storing the ranked simplified classifiers in a user interest profile for the user. Customer premise equipment may include a residential gateway, such as a wireless router, and user equipment such as a personal computer. Example systems may be configured from customer premise equipment or Internet service providers to generate user interest profiles in accordance with example methods.

Claims

1. A method of generating a user interest profile with at least one piece of customer premise equipment (CPE), the method comprising:

monitoring, by the CPE, internet traffic for a user;

analyzing, by the CPE, content of the Internet traffic;

correlating, by the CPE, the analyzed content with a simplified classifier set;

ranking, by the CPE, each correlated simplified classifier in the simplified classifier set; and

storing, on the CPE, the ranked simplified classifiers in a user interest profile for the user.

2. The method of claim 1, further comprising:

combining, by the CPE, the ranked simplified classifiers with preexisting ranked simplified classifiers.

3. The method of claim 2, wherein the combining includes decreasing a weight of the preexisting ranked simplified classifiers if the preexisting ranked simplified classifiers exceed an age threshold.

4. The method of claim 1, wherein the ranking includes assigning a weight to each simplified classifier based at least on a frequency of appearance of the simplified classifier.

5. The method of claim 1, wherein the analyzing includes at least one of parsing the Internet traffic for user input, parsing the internet traffic for meta-data, comparing the Internet traffic to external knowledge databases in order to define terms of the internet traffic, searching for terms of the Internet traffic in a search engine, and ignoring content of the internet traffic that is not user requested.

6. The method of claim 5, wherein the ranking includes assigning a weight to each simplified classifier based at least on a frequency of appearance of the simplified classifier and the analysis.

7. The method of claim 1, further comprising:

repeating the monitoring, analyzing, correlating, ranking, and storing on a desired basis.

8. The method of claim 7, wherein the desired basis is one of a time basis and a browsing event basis.

9. A method of generating a user interest profile with at least one piece of network equipment, the method comprising:

monitoring internet traffic for a user;

analyzing content of the internet traffic;

correlating the analyzed content with a simplified classifier set;

ranking each correlated simplified classifier in the simplified classifier set; and

storing, on the network equipment, the ranked simplified classifiers in a user interest profile for the user.

10. The method of claim 9, further comprising:

combining the ranked simplified classifiers with preexisting ranked simplified classifiers, the combining including decreasing a weight of the preexisting ranked simplified classifiers if the preexisting ranked simplified classifiers exceed an age threshold.

11. A system for generating user interest profiles on customer premise equipment (CPE), the system comprising:

a plurality of pieces of CPE, including at least one piece of user equipment and at least one network hub,

the plurality of pieces of CPE being communicatively connected to each other and to the Internet,

at least one of the plurality of pieces of CPE being configured to,

monitor Internet traffic for a user,

analyzing content of the Internet traffic,

correlate the analyzed content with a simplified classifier set,

rank each correlated simplified classifier in the simplified classifier set, and

store the ranked simplified classifiers in a user interest profile for the user.

12. The system of claim 11, wherein the at least one network hub is a wireless router and the at least one piece of user equipment is a personal computer.

13. The system of claim 11, wherein the at least one piece of CPE is further configured to combine the ranked simplified classifiers with preexisting ranked simplified classifiers.

14. The system of claim 13, wherein the at least one piece of CPE is further configured to decrease a weight of the preexisting ranked simplified classifiers in the combining if the preexisting ranked simplified classifiers exceed an age threshold.

15. The system of claim 11, wherein the at least one piece of CPE is further configured to assign a weight to each simplified classifier based at least on a frequency of appearance of the simplified classifier.

16. The system of claim 11, wherein the at least one piece of CPE is further configured to parse the Internet traffic for user input, parse the Internet traffic for meta-data, compare the Internet traffic to external knowledge databases in order to define terms of the Internet traffic, search for terms of the internet traffic in a search engine, and ignore content of the Internet traffic that is not user requested.

17. The system of claim 16, wherein the at least one piece of CPE is further configured to assign a weight to each simplified classifier based at least on a frequency of appearance of the simplified classifier.

18. The system of claim 11, wherein the at least one piece of CPE is further configured to repeatedly monitor, analyze, correlate, and rank the Internet traffic and store the user interest profile on a desired basis.

19. The system of claim 18, wherein the desired basis is one of a time basis and a browsing event basis.