Multi-strategy generation of product recommendations

US8244564B2 · kind B2 · utility

Assignee

• RichRelevance, Inc. · US

Inventors

• David Lee Selinger · Seattle, US
• Michael DeCourcey · Belmont, US
• Randall Stuart Fish · Castro Valley, US
• Bradley Ross Cerenzia · Seattle, US
• Tyler Kohn · San Francisco, US
• Darren E. Vengroff · Seattle, US

Key dates

• Filing date: Mar 31, 2009
• Grant date: Aug 14, 2012
• Expiry date: Jan 30, 2031

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q30/0643
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

Techniques are described for dynamically generating recommendations for users, such as for products and other items. In at least some situations, the techniques include using multiple recommendation strategies, such as by aggregating recommendation results from multiple different recommendation strategies. Such recommendation strategies may have various forms, and may be based at least in part on data regarding prior interactions of numerous users with numerous items. In addition, information about current selections of a particular user may be gathered based at least in part on providing a GUI (“graphical user interface”) for display to the user that includes selectable information about numerous recommended items, and dynamically updating the displayed GUI with newly generated recommendations of items as the user makes selections of particular displayed recommended items (e.g., newly generated recommendations that are similar to the selected items in one or more manners, or are otherwise related to the selected items).