PRODUCT RECOMMENDATIONS BASED ON COLLABORATIVE FILTERING OF USER DATA

• US 20090299880A1
• Filed: 08/05/2009
• Published: 12/03/2009
• Est. Priority Date: 06/29/2005
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: STOPPELMAN, Michael
• Granted Patent: US 7,860,759 B2
• Time in Patent Office: Days
• US Class Current: 705/26.1
• CPC Class Codes: G06F 16/904 Browsing; Visualisation therefor for navigating the web G06F16/954; browsing optimisation for the web G06F16/957
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0255 based on user history
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 30/0601 Electronic shopping [e-shopping]
• 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

Abstract

A system gathers user behavior data from a group of web retailers and/or non-web retailers, analyzes the user behavior data to identify product recommendations for products offered by the web retailers, and provides one of the identified product recommendations in connection with a product page associated with one of the web retailers.

Claims

1. A method, comprising:

gathering user behavior data from a plurality of web retailers;

analyzing the user behavior data to identify product recommendations for products offered by the web retailers; and

providing one of the identified product recommendations in connection with a product page associated with one of the web retailers.

2-31. -31. (canceled)