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Product recommendations based on collaborative filtering of user data

  • US 7,860,759 B2
  • Filed: 08/05/2009
  • Issued: 12/28/2010
  • Est. Priority Date: 06/29/2005
  • Status: Active Grant
First Claim
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1. A method performed by one or more server devices, the method comprising:

  • gathering, by one or more processors of the one or more server devices, user behavior data from a plurality of web retailers;

    analyzing, by one or more processors of the one or more server devices, the user behavior data to identify product recommendations for products offered by the plurality of web retailers;

    receiving, by one or more processors of the one or more server devices, a request associated with a web retailer, of the plurality of web retailers, and a product provided by the web retailer;

    identifying, by one or more processors of the one or more server devices and based on the request, one or more product recommendations, of the product recommendations, associated with the product, based on a plurality of products offered by the web retailer; and

    providing, by one or more processors of the one or more server devices, at least one of the one or more product recommendations in connection with a product page associated with the product.

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