COMPUTER PROCESSES FOR IDENTIFYING RELATED ITEMS AND GENERATING PERSONALIZED ITEM RECOMMENDATIONS

• US 20080033746A1
• Filed: 08/20/2007
• Published: 02/07/2008
• Est. Priority Date: 09/18/1998
• Status: Active Grant

• Current Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Original Assignee: Eric Benson, Gregory Linden, Jennifer Jacobi
• Inventors: Benson, Eric, Jacobi, Jennifer, Linden, Gregory
• Granted Patent: US 8,024,222 B2
• Time in Patent Office: Days
• US Class Current: 705/1
• 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 30/0254 based on statistics
• CPC Class Codes: G06Q 30/0255 based on user history
• CPC Class Codes: G06Q 30/0256 User search
• CPC Class Codes: G06Q 30/0271 Personalized advertisement
• CPC Class Codes: G06Q 30/0277 Online advertisement
• CPC Class Codes: G06Q 30/0282 Rating or review of business operators or products
• 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
• CPC Class Codes: G06Q 30/0641 Shopping interfaces
• CPC Class Codes: H04L 51/02 using automatic reactions or user delegation, e.g. automatic replies or chatbot-generated messages
• CPC Class Codes: Y10S 707/99943 Generating database or data structure, e.g. via user interface

Abstract

A computer-implemented service analyzes purchase histories and/or other types of behavioral data of users on an aggregated basis to detect and quantify associations between particular items represented in an electronic catalog. The detected associations are stored in a mapping structure that maps items to related items, and is used to recommend items to users of the electronic catalog.

Claims

1. A computer system, comprising:

a data repository that stores transaction histories of each of a plurality of users, said transaction histories identifying particular items for which transaction were conducted by corresponding users;

an analysis component configured to analyze the transaction histories in an off-line processing mode to assess degrees to which particular items are related to each other, and to generate a mapping that maps particular items to related items, said mapping including data values that represent degrees to which particular items are related to each other; and

a recommendation engine configured to use the mapping, including said data values, to generate personalized item recommendations for users.

2. The computer system of claim 1, wherein the transaction histories are purchase histories.