Providing product recommendations in an electronic commerce system

摘要

The present invention derives product characterizations for products offered at an e-commerce site based on the text descriptions of the products provided at the site. A customer characterization is generated, 410, for any customer browsing the e-commerce site. The characterizations include an aggregation of derived product characterizations associated with products bought and/or browsed by that customer. A peer group is formed, 420, by clustering customers having similar customer characterizations. Recommendations are then made to a customer based on the processed characterization and peer group data.