System and process for selecting personalized non-competitive electronic advertising for electronic display

• US 20090198551A1
• Filed: 02/01/2008
• Published: 08/06/2009
• Est. Priority Date: 02/01/2008
• Status: Abandoned Application

• Current Assignee: RichRelevance Incorporated
• Original Assignee: RichRelevance Incorporated
• Inventors: Ahuja, Sundeep, Selinger, David, Sunwoo, Albert, Osial, James, Kohn, Tyler, DeCourcey, Michael
• Application Number:
  US12/012,280
• Publication Number:
  US 20090198551A1
• Time in Patent Office: Days
• US Class Current: 705/14.53
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0255 based on user history
• CPC Class Codes: G06Q 30/0273 Determination of fees for advertising
• CPC Class Codes: G06Q 30/0275 Auctions

Abstract

A process of selecting personalized non-competitive electronic advertising from a plurality of competitive and non-competitive advertisements for electronic display including the steps of generating a selection model, generating a user model, selecting personalized non-competitive electronic advertising from the plurality of advertisements using the selection model and user model to identify relevant advertisements and using a rule set for identifying non-competitive advertisements and providing in an electronic format identified relevant and non-competitive advertisements. An arrangement for the same includes memory for storing a selection model and a user and a controller that selects personalized non-competitive electronic advertising from the plurality of advertisements using the selection model and user model to identify relevant advertisements and using a rule set for identifying non-competitive advertisements. The process and arrangement provide the advertisements in an electronic format affiliated with an originating retailer, where such originating retailer is not among the one or more retailers.

Claims

1. A process of selecting personalized non-competitive electronic advertising from a plurality of competitive and non-competitive advertisements for electronic display comprising the steps of:

generating a selection model, wherein the selection model includes a plurality of data sets identifying similar and popular products and a rule set for identifying non-competitive advertisements;

generating a user model including user specific identification data and user specific activity data;

selecting personalized non-competitive electronic advertising from the plurality of advertisements using the selection model and user model to identify relevant advertisements and using the rule set for identifying non-competitive advertisements; and

providing in an electronic format one or more identified relevant and non-competitive advertisements relating to products offered by one or more retailers, wherein the provided electronic format is affiliated with an originating retailer, where such originating retailer is not among the one or more retailers.

2. The process of claim 1 wherein providing in an electronic format includes providing on a website.

3. The process of claim 1 wherein providing in an electronic format includes providing via electronic mail.

4. The process of claim 1 wherein providing in an electronic format includes providing to a portable electronic device.

5. The process of claim 1 wherein providing in an electronic format includes providing in an application.

6. The process of claim 1 wherein generating a selection model may be based, at least in part, on product data and transactional data.

7. The process of claim 1 wherein generating a selection model may be based, at least in part, on a feedback model relying on retailers bidding for placement.

8. The process of claim 1 wherein user specific activity data is user behavior for a specific user and includes data regarding purchases, product views, searches and user lists.

9. The process of claim 1 wherein relevant advertisements are identified by a weighted scoring system identifying correlations between user behavior data as provided by the user models.

10. The process of claim 1 wherein the step of selecting non-competitive personalized electronic advertising occurs in real time.

11. An for arrangement selecting personalized non-competitive electronic advertising from a plurality of competitive and non-competitive advertisements for electronic display comprising:

memory for storing at least one selection model including a plurality of data sets identifying similar and popular products and a rule set for identifying non-competitive advertisements and at least one user model including user specific identification data and user specific activity data; and

a controller that selects personalized non-competitive electronic advertising from the plurality of advertisements using the selection model and user model to identify relevant advertisements and using the rule set for identifying non-competitive advertisements and provides, in an electronic format, one or more identified relevant and non-competitive advertisements relating to products offered by one or more retailers, wherein the provided electronic format is affiliated with an originating retailer, where such originating retailer is not among the one or more retailers.

12. The arrangement of claim 11 wherein the selection model may be based, at least in part, on product data and transactional data.

13. The arrangement of claim 11 wherein the selection model may be based, at least in part, on a feedback model relying on retailers bidding for placement.

14. The arrangement of claim 11 wherein user specific activity data is user behavior for a specific user and includes data regarding purchases, product views, searches and user lists

15. The arrangement of claim 11 wherein relevant advertisements are identified by a weighted scoring system identifying correlations between user behavior data as provided by the user models.

16. A computer-readable medium having computer-executable instructions for selecting personalized non-competitive electronic advertising from a plurality of competitive and non-competitive advertisements for electronic display, the computer-executable instructions causing the arrangement to perform the steps of:

generating a selection model, wherein the selection model includes a plurality of data sets identifying similar and popular products and a rule set for identifying non-competitive advertisements;

generating a user model including user specific identification data and user specific activity data;

selecting personalized non-competitive electronic advertising from the plurality of advertisements using the selection model and user model to identify relevant advertisements and using the rule set for identifying non-competitive advertisements; and

providing in an electronic format one or more identified relevant and non-competitive advertisements relating to products offered by one or more retailers, wherein the provided electronic format is affiliated with an originating retailer, where such originating retailer is not among the one or more retailers.

17. The computer readable medium of claim 16 wherein providing in an electronic format includes providing on a website.

18. The computer readable medium of claim 16 wherein generating a selection model may be based, at least in part, on product data and transactional data.

19. The computer readable medium of claim 16 wherein user specific activity data is user behavior for a specific user and includes data regarding purchases, product views, searches and user lists.

20. The computer readable medium of claim 16 wherein the step of selecting non-competitive personalized electronic advertising occurs in real time.