Method and device for publishing cross-network user behavioral data

• US 9,495,446 B2
• Filed: 03/01/2010
• Issued: 11/15/2016
• Est. Priority Date: 12/20/2004
• Status: Active Grant

• Current Assignee: Gula Consulting Limited Liability Company (Intellectual Ventures LLC)
• Original Assignee: Gula Consulting Limited Liability Company (Intellectual Ventures LLC)
• Inventors: Martin, Anthony, Goulden, David L., Bennett, Dominic V., Petersen, Roger, Paczkowski, Remigiusz K.
• Primary Examiner(s): Bullock, Joshua
• Application Number:
  US12/715,311
• Publication Number:
  US 20100306053A1
• Time in Patent Office: 2,451 Days
• Field of Search: 707/628, 709/224, 715/745
• US Class Current: 1/1
• CPC Class Codes: G06F 16/337 Profile generation, learning or modification
• CPC Class Codes: G06F 16/345 Summarisation for human users
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 30/0255 based on user history
• CPC Class Codes: G06Q 30/0256 User search
• CPC Class Codes: G06Q 30/0277 Online advertisement
• CPC Class Codes: H04L 63/08 for authentication of entities cryptographic mechanisms or cryptographic arrangements for entity authentication H04L9/32
• CPC Class Codes: H04L 67/01 Protocols

Abstract

The present invention relates to summarizing cross-network user behavioral data. The summarizing cross-network user behavioral data may particularly include publishing the data to one or more data structures that become accessible to a server hosting an authorized domain when a user accesses the authorized domain.

Claims

1. A computer-implemented method, implemented, at least in part, by hardware in combination with software, the method comprising:

collecting, using hardware in combination with software on a client computer, cross-network user behavior data related to a user'"'"'s interactions on the client computer with a plurality of web sites, wherein not all of the plurality of web sites are associated with a content provider, and not all of the plurality of web sites are associated with a portal;

summarizing the cross-network user behavior data on the client computer, the summarizing including, for a plurality of subject categories, one or more of;

categorizing recency of the user visiting a web site on the client computer in at least some of the plurality of subject categories,

categorizing user category involvement from the user visiting the website on the client computer in at least some of the subject categories by rolling up indicators of visits into categorical time segments,

categorizing recency of selections of at least one banner advertisement on the client computer, and

categorizing user category involvement from user selections of the at least one banner advertisement on the client computer; and

publishing the summarized cross-network user behavior data on the client computer to one or more memory structures on the client computer; and

in response to the user accessing an authorized domain via the client computer via a network, providing at least some of the summarized cross-network user behavior data in the one or more memory structures on the client computer to a server at the authorized domain.

2. The method of claim 1, wherein the categorizing the user category involvement includes rolling up the indicators of visits into non-overlapping categorical time segments of differing lengths.

3. The method of claim 1, wherein the categorizing user category involvement includes representing granular time segments with flags to indicate user category involvement during the granular time segment and summarizing a portion of the granular time segments by aggregation into categorical time segments.

4. The method of claim 1, further comprising:

prioritizing a plurality of subject categories,

selecting at least one subject category of the plurality of subject categories, and

publishing the summarized cross-network behavior data for the plurality of subject categories to a single memory structure.

5. The method of claim 1, wherein the cross-network behavioral data include data relating to visits to the plurality of web sites or selections of banner advertisements that are not all associated with a behavioral data collection network.

6. The method of claim 1, wherein the cross-network behavioral data is further related to selections of banner advertisements that are not all associated with the portal.

7. The method of claim 1, wherein the cross-network behavioral data include data relating to visits to the plurality of web sites or selections of banner advertisements that are not all associated with a virtual storefront.

8. The method of claim 1, wherein the cross-network behavioral data is further related to selections of banner advertisements that are not all associated with the content provider.

9. The method of claim 1, wherein the cross-network behavioral data include data relating to behavioral data corresponding to a plurality of visits to the plurality of web sites or selections of banner advertisements that are not all associated with a behavioral data collection network.

10. The method of claim 1, wherein the publishing takes place on a periodic basis.

11. The method of claim 1, wherein the publishing takes place in response to one or more web site visit or one or more banner advertisements selection.

12. The method of claim 1, further including receiving at the client computer advertising targeted using the summarized cross-network user behavior data published to the one or more memory structures on the client computer.

13. The method of claim 1 wherein the summarizing the cross-network user behavior data on the client computer comprises two or more of:

the categorizing recency of the user visiting the web site on the client computer in the at least some of the plurality of subject categories,

the categorizing user category involvement from the user visiting the website on the client computer in the at least some of the subject categories by the rolling up the indicators of the visits into the categorical time segments,

the categorizing recency of the selections of the at least one banner advertisement on the client computer, and

the categorizing user category involvement from the user selections of the at least one banner advertisement on the client computer.

14. A computer-implemented method, implemented, at least in part, by hardware in combination with software, the method comprising:

observing, by hardware in combination with software on a client computer, cross-network user behavior of a user of the client computer, wherein the cross-network user behavior relates, at least in part, to

the client computer accessing a plurality of web sites that are not all associated with a user behavior data collection network, are not all associated with a content provider, and are not all associated with a portal, and

at least one keyword derived from context of a selection action by the user on the client computer;

selecting a subject category from a plurality of subject categories and deriving a summary metric of the user'"'"'s degree of involvement in the selected subject category for a particular cross-network user behavior of the user of the client computer;

publishing the summary metric to one or more memory structures on the client computer; and

in response to the user accessing an authorized domain via the client computer via a network, providing at least some of the information in the summary metric in the one or more memory structures from the client computer to a server at the authorized domain.

15. The method of claim 14, wherein data in the memory structure are periodically reported via a network to a server.

16. A computer-implemented method, implemented, at least in part, by hardware in combination with software, the method comprising:

summarizing observed cross-network user behavior data using a behavior summarizing module operating on a client computer, wherein the observed cross-network user behavior includes;

access to web sites that are not all associated with a content provider, a user behavior collection network, and a portal; and

at least one keyword derived from context of the access to the web sites; and

wherein the summarizing for the observed cross-network user behavior includes deriving a summary metric of the user'"'"'s degree of interest in subject categories from a plurality of subject categories; and

publishing the summary metric from the behavior summarizing module to one or more memory structures; and

providing information in the summary metric in the one or more memory structures from the client computer to a server at an authorized domain in response to the user accessing the authorized domain via the client computer via a network.

17. The method of claim 16, further including:

prioritizing the plurality of subject categories;

selecting at least one subject category of the plurality of subject categories; and

publishing the summarized cross-network behavior data for the plurality of subject categories to a single memory structure.

18. The method of claim 16, wherein the one or more memory structures are accessible via the network to the server at the authorized domain in response to the user accessing the authorized domain.

19. The method of claim 16, wherein the cross-network behavioral data include data relating to behavioral data corresponding to a plurality of visits to the web sites or selections of banner advertisements that are accessed using more than one browser on the client computer.

20. The method of claim 16, further including receiving at the client computer advertising targeted using the summarized cross-network user behavior data published to the one or more memory structures that became accessible in response to the user accessing the authorized domain.