PERSONALIZED ADVERTISING AND RECOMMENDATION

• US 20110066497A1
• Filed: 08/30/2010
• Published: 03/17/2011
• Est. Priority Date: 09/14/2009
• Status: Abandoned Application

• Current Assignee: Choicestream Incorporated
• Original Assignee: Choicestream Incorporated
• Inventors: Strickman, Michael, Gopinath, Dinesh
• Application Number:
  US12/871,416
• Publication Number:
  US 20110066497A1
• 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

Abstract

Systems and methods for recommending items to users include maintaining a database of user-related information including user profiles, each including at least a history of user activities associated with a first entity that has a relationship with an inventory of recommendable items; obtaining information about an identity of a user interacting with a second entity different from the first entity and different from the service provider; associating the identity of the user interacting with the second entity with a corresponding user profile; selecting a first set of items from the inventory for presentation to the user based at least on an analysis of a history of user activities associated with the first entity; and forming a specification of the selected first set items for presentation to the user during the user'"'"'s interaction with the second entity.

Claims

1. A computer-implemented method for recommending items to users comprising:

maintaining, by a service provider, a database of user-related information including storing a plurality of user profiles, each user profile including at least a history of user activities associated with a first entity that has a relationship with an inventory of recommendable items, wherein the history of user activities includes data representing events indicative of user'"'"'s item-specific interest in each of a subset of one or more recommendable items, and the first entity is different from the service provider;

obtaining information about an identity of a user interacting with a second entity different from the first entity and different from the service provider;

associating the identity of the user interacting with the second entity with a corresponding user profile in the database;

selecting a first set of one or more items from the inventory of recommendable items for presentation to the user based at least on an analysis of the history of user activities associated with the first entity, including;

selecting at least one item from the subset of recommendable items based on data representing events indicative of user'"'"'s item-specific interest; and

forming a specification of the selected first set of one or more items for presentation to the user during the user'"'"'s interaction with the second entity.

2. The computer-implemented method of claim 1, wherein selecting at least one item of user interest includes:

computing, for each item in the subset of recommendable items, a degree of user interest based at least on data representing events indicative of user'"'"'s item-specific interest.

3. The computer-implemented method of claim 1 wherein selecting the set of one or more items includes:

computing, for each item in the inventory, a degree of user relevance based on the analysis of the history of user activities associated with the first entity.

4. The computer-implemented method of claim 3 wherein the degree of user relevance is further computed based on an analysis of a context of the user'"'"'s interaction with the second entity.

5. The computer-implemented method of claim 1 further comprising:

in response to a user reaction to the presentation of the selected first set of one or more items, selecting a second set of one or more items from the inventory of recommendable items for subsequent presentation to the user based on at least on the corresponding user profile.

6. The computer-implemented method of claim 5 wherein the second set of one or more items is at least partially different from the set of one or more items selected based at least on an analysis of the history of user activities associated with the first entity.

7. The computer-implemented method of claim 5 further comprising:

forming a specification of the second set of one or more items for subsequent presentation to the user.

8. The computer-implemented method of claim 7 wherein the subsequent presentation of the second set of one or more items is provided in the form of a dynamic landing page.

9. The computer-implemented method of claim 7 further comprising:

upon user selection of an item from the second set of one or more items to the user, determining a third set of one or more items to be recommended to the user during a presentation of the selected item to the user.

10. The computer-implemented method of claim 9 further comprising:

forming a specification of the third set of one or more items to be recommended to the user; and

providing the formed specification of the third set of one or more items to the first entity.

11. The computer-implemented method of claim 10 further comprising:

updating the corresponding user profile according to user activities associated with the presentations of the first, the second, and the third set of one or more items.

12. The computer-implemented method of claim 1 wherein the first entity has a business relationship with the inventory of recommendable items.

13. The computer-implemented method of claim 6 wherein the first entity includes a supplier of the inventory of recommendable items.

14. The computer-implemented method of claim 1 wherein the first entity has a non-business relationship with the inventory of recommendable items.

15. The computer-implemented method of claim 1 wherein the events indicative of user'"'"'s item-specific interest in a recommendable item includes user interaction with the item.

16. The computer-implemented method of claim 1, wherein obtaining information about an identity of a user interacting with the second entity includes obtaining information about the identity of the user from the second entity.

17. The computer-implemented method of claim 1, wherein the first entity includes an advertiser.

18. The computer-implemented method of claim 1, wherein the first entity includes a plurality of advertisers each having a relationship with a respective inventory of recommendable items, and maintaining the database of user-related information includes updating each user profile according to user activities associated with one or more of the plurality of advertisers.

19. The computer-implemented method of claim 1, wherein the second entity includes a publisher.

20. The computer-implemented method of claim 1, wherein the user'"'"'s item-specific interest in each of a subset of one or more recommendable items includes the user'"'"'s explicit interest, implicit interest, or a combination of both.

21. The computer-implemented method of claim 1, further comprising presenting the first set of one or more items to the user during the user'"'"'s interaction with the second entity.

22. The computer-implemented method of claim 1, wherein the specification of the selected first set of one or more items includes data representing an identification of the selected items in the inventory.

23. The computer-implemented method of claim 22, wherein the specification of the selected first set of one or more items further includes data representing a URL of an image associated with the selected item.

24. A system for servicing clients comprising:

a data manager for managing a database of user-related information, the database including a plurality of user profiles, each user profile including at least a history of user activities associated with one or more of a set of clients each client having a relationship with a corresponding inventory of recommendable items, wherein the history of user activities includes data representing events indicative of user'"'"'s item-specific interest; and

a server for recommending items to users based on the information in the database, the server including;

an interface for accepting, from a data network, a service request associated with a client for recommending items to a user of said client, the service request including data representing an identity of the user;

a service engine coupled to the interface for selecting a set of one or more items from the inventory of recommendable items corresponding to said client to be recommended to the user, the service engine being configured for;

associating the user with a corresponding user profile in the database according to the data representing the identity of the user;

selecting the set of one or more items to be recommended to the user based at least on an analysis of data representing events indicative of the user'"'"'s item-specific interest;

forming a specification of the selected set of one or more items for presentation to the user during the user'"'"'s interaction with the second entity; and

instructing the interface to send, via the data network, a response to said client forwarding the specification of the selected set of one or more items.

25. The system of claim 24, wherein the service request is initiated by said client.

26. The system of claim 25, wherein said client includes an advertiser.

27. The system of claim 24, wherein the service request is initiated by an entity hosting an advertising resource designated for said client.

28. The system of claim 27, wherein the entity hosting the advertising resource includes a publisher.

29. The system of claim 24, wherein the database includes public data commonly accessible by each of the set of clients.

30. The system of claim 24, wherein the database includes a collection of one or more sets of proprietary data each set being accessibly only by a corresponding authorized client.

31. The system of claim 24, wherein the service engine is further configured for selecting the set of one or more items based on the user'"'"'s history of activities that occurred with a second client different from said client with which the service request is associated.

32. The system of claim 24, wherein the data manager is further configured for updating the plurality of user profiles using data provided by one or more of the clients over the data network.