Method and device for publishing cross-network user behavioral data

Patent metadata

Field	Value
Publication number	US-12155639-B2
Application number	US-202318149631-A
Country	US
Kind code	B2
Filing date	Jan 3, 2023
Priority date	Dec 20, 2004
Publication date	Nov 26, 2024
Grant date	Nov 26, 2024

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.

First claim

We claim:

1. A computer-implemented method, implemented, at least in part, by a server computer, the method comprising:
receiving, by the server computer, one or more memory structures that include published summarized cross-network user behavior data from a client computer, wherein the published summarized cross-network user behavior data includes:
collected cross-network user behavior data on the client computer,
the collected cross-network user behavior data being summarized on the client computer, and
the summarized collected cross-network user behavior data published to the one or more memory structures on the client computer;

determining, by the server computer, content to send to a browser of the client computer based on the one or more memory structures; and
sending, by the server computer, the content to the browser of the client computer.

2. The method of claim 1 , wherein in response to a user accessing an authorized domain via the client computer via a network, the client computer provides 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.

3. The method of claim 1 , wherein the cross-network user behavior data includes data related to a user's interactions with a plurality of web sites and 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.

4. The method of claim 3 , wherein the collected cross-network user behavior data is summarized on the client computer by, 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, or
categorizing user category involvement from user selections of the at least one banner advertisement on the client computer.

5. The method of claim 4 , wherein the categorizing the user category involvement includes rolling up the indicators of visits into nonoverlapping categorical time segments of differing lengths.

6. The method of claim 4 , 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.

7. The method of claim 1 , further comprising:
prioritizing a plurality of subject categories, and
selecting at least one subject category of the plurality of subject categories.

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

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

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

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

12. The method of claim 11 , wherein the cross-network user behavioral data includes data relating to behavioral data corresponding to a plurality of visits to a plurality of web sites or selections of banner advertisements that are not all associated with a behavioral data collection network.

13. The method of claim 1 , wherein the summarized collected cross-network user behavior data is published to the one or more memory structures on the client computer on a periodic basis.

14. The method of claim 1 , wherein the summarized collected cross-network user behavior data is published to the one or more memory structures on the client computer in response to one or more web site visit or one or more banner advertisement selection.

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

16. A server computer configured to:
receive one or more memory structures that include published summarized cross-network user behavior data from a client computer, wherein the published summarized cross-network user behavior data includes:
collected cross-network user behavior data on the client computer,
the collected cross-network user behavior data being summarized on the client computer, and
the summarized collected cross-network user behavior data published to the one or more memory structures on the client computer;

determine content to send to a browser of the client computer based on the one or more memory structures; and
send the content to the browser of the client computer.

17. A non-transitory computer-readable medium storing executable instructions that, in response to execution, cause a server to perform operations comprising:
receiving, by the server, one or more memory structures that include published summarized cross-network user behavior data from a client computer, wherein the published summarized cross-network user behavior data includes:
collected cross-network user behavior data on the client computer,
the collected cross-network user behavior data being summarized on the client computer, and
the summarized collected cross-network user behavior data published to the one or more memory structures on the client computer;

determining, by the server, content to send to a browser of the client computer based on the one or more memory structures; and
sending, by the server, the content to the browser of the client computer.

Assignees

• Gula Consulting Llc

Inventors

• Martin Anthony
• Goulden David L
• Bennett Dominic V
• Petersen Roger
• Paczkowski Remigiusz K

Classifications

• G06Q30/0277

  Online advertisement · CPC title

• G06Q30/0256

  User search · CPC title

• H04L67/01

  Protocols · CPC title

• G06Q30/0255

  based on user history · CPC title

• G06Q10/06 Primary

  Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling · CPC title