The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Aug. 14, 2012
Filed:
Mar. 31, 2009
David Lee Selinger, Castro Valley, CA (US);
Michael James Decourcey, Belmont, CA (US);
Randall Stuart Fish, Castro Valley, CA (US);
Bradley Ross Cerenzia, Seattle, WA (US);
Tyler David Kohn, San Francisco, CA (US);
Darren Erik Vengroff, Seattle, WA (US);
David Lee Selinger, Castro Valley, CA (US);
Michael James DeCourcey, Belmont, CA (US);
Randall Stuart Fish, Castro Valley, CA (US);
Bradley Ross Cerenzia, Seattle, WA (US);
Tyler David Kohn, San Francisco, CA (US);
Darren Erik Vengroff, Seattle, WA (US);
RichRelevance, Inc., San Francisco, CA (US);
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).