USER INTERFACE AND METHODS FOR RECOMMENDING ITEMS TO USERS

• US 20100191582A1
• Filed: 04/02/2010
• Published: 07/29/2010
• Est. Priority Date: 10/07/2002
• Status: Active Grant

• Current Assignee: Eric A. Benson, Gregory D. Linden, Jeffrey T. Bownell, Jennifer A. Jacobi, Russell A. Dicker
• Original Assignee: Eric A. Benson, Gregory D. Linden, Jeffrey T. Bownell, Jennifer A. Jacobi, Russell A. Dicker
• Inventors: Linden, Gregory D., Bownell, Jeffrey T., Jacobi, Jennifer A., Benson, Eric A., Dicker, Russell A.
• Granted Patent: US 8,370,203 B2
• Time in Patent Office: Days
• US Class Current: 705/14.51
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0253 During e-commerce, i.e. online transactions
• CPC Class Codes: G06Q 30/0601 Electronic shopping [e-shopping]
• CPC Class Codes: G06Q 30/0603 Catalogue ordering
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: G06Q 30/0633 Lists, e.g. purchase orders, compilation or processing

Abstract

An improved user interfaces and methods are provided for presenting item recommendations to a user when the user selects an item to add to a shopping cart. In response to the user'"'"'s selection, a page generation process generates and returns a page that includes a plurality of recommendations sections, each of which displays item recommendations generated using a different respective recommendation or selection algorithm (e.g., recommendations based on shopping cart contents, recommendations based on purchase history, etc.). These recommendation algorithms may be selected based on collected information regarding the user. The page may also include a shopping cart section which displays contents of the shopping cart.

Claims

1. A method of recommending items to users of an electronic catalog system, the method comprising:

receiving a request that identifies a catalog item selected by a user for performing a transaction;

selecting a first plurality of additional catalog items to recommend to the user, said first plurality of additional catalog items selected according to a first item selection method;

selecting a second plurality of additional catalog items to recommend to the user, said second plurality of additional catalog items selected according to a second item selection method; and

generating a page to present to present to the user in response to the request, wherein generating the page comprises;

populating a first section of the page with representations of each of the first plurality of additional catalog items;

populating a second section of the page with representations of each of the second plurality of additional catalog items, said second section being distinct from the first section; and

populating a third section of the page with at least a representation of the catalog item selected by the user, said third section identifying said catalog item as being selected, and being distinct from the first and second sections.

said method performed by a server system that comprises one or more physical servers.

2. The method of claim 1, wherein the first section of the page identifies a basis for recommending the first plurality of additional items, and the second section of the page identifies a basis for recommending the second plurality of additional items.

3. The method of claim 1, wherein the request is a request to add the catalog item to an electronic shopping cart.

4. The method of claim 3, wherein the first item selection method selects the first plurality of additional items based on contents of the electronic shopping cart, and the second item selection method selects the second plurality of additional items without regard to contents of the electronic shopping cart.

5. The method of claim 3, wherein the second item selection method selects the second plurality of additional items based at least partly on past item purchases of the user.

6. The method of claim 3, wherein the third section of the page is a condensed shopping cart section that indicates contents of the electronic shopping cart, said condensed shopping cart section including a link to a shopping cart page, said shopping cart page including shopping cart editing functionality that is omitted from said page that includes the condensed shopping cart section.

7. The method of claim 1, wherein the first item selection method selects the first plurality of additional items based at least partly on said catalog item selected by the user, and the second item selection method selects the second plurality of additional items without regard to said catalog item selected by the user.

8. The method of claim 1, further comprising, prior to generating said page, selecting the first and second item selection methods from a set of candidate item selection methods, wherein the server system selects the first and second item selection methods based at least partly on user profile data associated with the user.

9. The method of claim 8, wherein the server system selects the first and second item selection methods according to a hierarchy that gives some candidate item selection methods priority over others.

10. The method of claim 8, wherein the server system selects the first and second item selection methods according to an adaptive process that uses information regarding actions of past users, in combination with collected data associated with said user, to predict which candidate item selection methods will be the most effective for said user.

11. The method of claim 8, wherein selecting the first and second item selection methods comprises determining, for at least one candidate item selection method, whether sufficient user profile data is a available for said user to generate recommendations using said candidate item selection method.

12. The method of claim 1, further comprising:

selecting a third plurality of additional catalog items to recommend to the user, said third plurality of additional catalog items selected according to a third item selection method; and

populating a fourth section of the page with representations of each of the third plurality of additional catalog items.

13. A system, comprising:

a server system that provides interactive access to an electronic catalog, and provides functionality for users to conduct transactions in connection with specific catalog items selected from the electronic catalog, said server system programmed to respond to a selection by a user of a catalog item for performing a transaction by at least;

selecting, according to a first item selection method, a first plurality of additional catalog items to recommend to the user;

selecting, according to a second item selection method, a second plurality of additional catalog items to recommend to the user; and

generating and outputting a page to present to present to the user in response to said selection by the user, said page comprising at least;

a first section containing representations of each of the first plurality of additional catalog items, a second section containing representations of each of the second plurality of additional catalog items, and a third section that identifies the catalog item selected by the user, said first, second and third sections each being distinct.

14. The system of claim 13, wherein the first section of the page identifies a basis for recommending the first plurality of additional items, and the second section of the page identifies a basis for recommending the second plurality of additional items.

15. The system of claim 13, wherein the selection by the user is a selection of the catalog item to add to an electronic shopping cart.

16. The system of claim 15, wherein the first item selection method selects the first plurality of additional items based on contents of the electronic shopping cart, and the second item selection method selects the second plurality of additional items without regard to contents of the electronic shopping cart.

17. The system of claim 16, wherein the second item selection method selects the second plurality of additional items based at least partly on past item purchases of the user.

18. The system of claim 15, wherein the third section of the page is a condensed shopping cart section that indicates contents of the electronic shopping cart, said condensed shopping cart section including a link to a shopping cart page, said shopping cart page including shopping cart editing functionality that is omitted from said page that includes the condensed shopping cart section.

19. The system of claim 13, wherein the first item selection method selects the first plurality of additional items based at least partly on said catalog item selected by the user, and the second item selection method selects the second plurality of additional items without regard to said catalog item selected by the user.

20. The system of claim 13, wherein the server system is programmed to select the first and second item selection methods from a set of candidate item selection methods based at least partly on user profile data associated with the user.

21. The system of claim 20, wherein the server system is programmed to select the first and second item selection methods according to a hierarchy that gives some candidate item selection methods priority over others.

22. The system of claim 20, wherein the server system is programmed to select the first and second item selection methods according to an adaptive process that uses information regarding actions of past users, in combination with collected data associated with said user, to predict which candidate item selection methods will be effective for said user.

23. The system of claim 20, wherein the server system is programmed to determine, for at least one of the candidate item selection methods, whether available user profile data for said user is sufficient to generate recommendations using said candidate item selection method.

24. The system of claim 13, wherein the server system is additionally programmed to respond to the selection of the catalog item by the user by selecting a third plurality of additional catalog items to recommend, and by incorporating representations of the third plurality of additional catalog items onto said page.

25. A method performed by a server system in response to a selection by a user of an item represented in an electronic catalog, the method comprising:

selecting, from a plurality of candidate item selection methods, a subset of item selection methods to use to generate item recommendations for the user, said subset comprising at least two, and less than all, of the candidate item selection methods, wherein the server system selects the subset of item selection methods based at least partly on collected data regarding the user;

using each selected item selection method to select a respective plurality of items to recommend to the user; and

generating a page to present to the user in response to the selection by the user of the item, said page comprising a plurality of distinct recommendations sections, each of which corresponds to, and identifies the corresponding plurality of items selected using, a respective one of the selected item selection methods, said page additionally including a non-recommendations section that identifies the item selected by the user.

26. The method of claim 25, wherein generating the page comprises including, in each recommendation section, an indication of a basis for recommending the respective plurality of items.

27. The method of claim 25, wherein the method is performed in response to selection by the user of the item to add to an electronic shopping cart, and wherein the non-recommendations section is a shopping cart section that identifies contents of the electronic shopping cart.

28. The method of claim 25, wherein the method comprises selecting said subset according to a hierarchy that gives some candidate item selection methods priority over others.

29. The method of claim 25, wherein the method comprises selecting said subset according to an adaptive process that uses information regarding actions of past users, in combination with collected data associated with said user, to predict which candidate item selection methods will be effective for said user.