BEHAVIOR-BASED GENERATION OF SITE-TO-SITE REFERRALS

• US 20090171755A1
• Filed: 12/28/2007
• Published: 07/02/2009
• Est. Priority Date: 12/28/2007
• Status: Abandoned Application

• Current Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Original Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Inventors: Kane, Francis J., Hicks, Cory
• Application Number:
  US11/966,782
• Publication Number:
  US 20090171755A1
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06Q 20/10 specially adapted for electronic funds transfer [EFT] systems; specially adapted for home banking systems
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0214 Referral reward systems
• CPC Class Codes: G06Q 30/0601 Electronic shopping [e-shopping]
• CPC Class Codes: G06Q 40/12 Accounting

Abstract

A content provider system interacts with a network of web sites to provide behavior-based content to users. Operators of the web sites add widgets to selected web pages of their sites. The widgets, when executed on the computing devices of users who view the selected web pages, report user-generated events to the content provider system. The content provider system analyses the reported events to detect behavioral associations between particular web sites, web pages, products, and/or other types of items. The widgets may also retrieve and display behavior-based content that is based on these item-to-item behavioral associations. For example, when a user views a particular web page, a widget on that page may request and display descriptions of, and links to, other sites or pages that are (a) behaviorally related to the page being viewed or an item represented thereon, and/or (b) behaviorally related to the past browsing activities of the particular user.

Claims

1. A computer-implemented method, comprising:

detecting a behavioral association between a first web site and a second web site, said behavioral association detected, at least in part, by programmatically analyzing web site browsing behaviors of a plurality of users;

using the detecting behavioral association to cause a web page of the first web site to display a user-selectable link to the second web site; and

in response to user selection of said user-selectable link, automatically deducting a monetary amount from an account associated with the second web site, and crediting at least a portion of the monetary amount to an account associated with the first web site.

2. The method of claim 1, further comprising collecting event data descriptive of said browsing behaviors, at least in part, by recording widget-reported events resulting from execution of widget code including in web pages of the first and second web sites.

3. The method of claim 1, wherein the user-selectable link is not part of, and is not displayed in conjunction with, an advertisement for the second web site.

4. The method of claim 1, wherein the user-selectable link comprises, or is displayed in conjunction with, an image of a home page of the second web site, said image generated automatically.

5. The method of claim 1, wherein programmatically analyzing the web site browsing behaviors of a plurality of users comprises analyzing event data reported by user computing devices that access the first and second web sites, said event data reported via execution of widget code included in web page coding of the first and second web sites.

6. The method of claim 1, wherein the step of causing a web page of the first web site to display a user-selectable link comprises interacting over a network with widget code of said web page to cause the user-selectable link to be displayed thereon.

7. A content provider system programmed and configured to perform the method of claim 1.

8. A content provider system, comprising:

a system that collects and stores event data that identifies items selected by users across a plurality of web sites, the event data including data descriptive of events reported by computing devices of said users via execution of widget code included in web pages of said web sites;

an association mining system configured to detect behavioral associations between said items at least partly by analyzing the event data on an aggregated basis, said behavioral associations including cross-site associations;

a content generation system configured to use the cross-site associations to cause a first web page of a first web site to display a link to a second web page of a second web site; and

an accounting system that is capable of causing an operator of the first web site to be compensated for enabling said link to be displayed on said first web page.

9. The content provider system of claim 8, wherein the content generation system is additionally configured to cause said first web page to display a thumbnail image of an item associated with said link.

10. The content provider system of claim 8, wherein the accounting system is configured to cause said operator to be compensated in response to user selection of the link.

11. The content provider system of claim 8, wherein the accounting system is configured to cause said operator to be compensated in response to a user performing a transaction on the second web site after selecting said link.

12. The content provider system of claim 8, wherein the accounting system is responsive to user selection of said link by deducting a monetary amount from an account associated with the second web site, and crediting at least a portion of the monetary amount to an account associated with the first web site

13. The content provider system of claim 8, wherein the content generation system is configured to cause the first web page to display said link by interacting with widget code included in the first web page.

14. The content provider system of claim 8, wherein the items include web pages of said web sites.

15. The content provider system of claim 8, wherein the items include catalog items included in electronic catalogs hosted by the web sites.

16. The content provider system of claim 8, wherein the content generation system is capable of using a prior event history of a target user, in combination with the behavioral associations, to select a personalized set of items to present to the target user.

17. A computer-implemented method, comprising:

detecting a behavioral association between a first item on a first web site and a second item on a second web site, said behavioral association detected, at least in part, by programmatically analyzing event histories of a plurality of users;

using the detected behavioral association to cause a first web page of the first web site to display a user-selectable link to a second web page of the second web site, said first web page being associated with the first item, said second web page being associated with the second item; and

in response to user selection of said user-selectable link, automatically deducting a monetary amount from an account associated with the second web site, and crediting at least a portion of the monetary amount to an account associated with the first web site.

18. The method of claim 17, further comprising maintaining said event histories, at least in part, by recording widget-reported events resulting from execution of widget code included in web pages of the first and second web sites.

19. The method of claim 17, wherein the second item is a product included in an electronic catalog of the second web site.

20. The method of claim 17, wherein the second item is a URL of the second web site.

21. The method of claim 17, wherein the second item is a content item included in the second web page.

22. The method of claim 17, wherein the method is performed by a content provider system that is separate from the first and second web sites.

23. A content provider system programmed and configured to perform the method of claim 17.