Patent ID: 8473369
Filing Date: 2013-06-25
Classification: G06Q

Abstract:
1. One or more non-transitory physical computer storage devices comprising a recommendations system configured to generate personalized recommendations, the recommendations system comprising computer-executable instructions that cause a computing system to at least: access user activity data of a target user to identify an item purchased by the target user, the purchased item being represented by item data in an electronic catalog, the user activity data comprising data representing item selection activity of the user with respect to the electronic catalog; identify purchase-related activity of the target user from the user activity data, the purchase-related activity being related to the purchase and activity occurring prior to a purchase of the purchased item by the target user; identify non-purchase-related activity of the target user from the user activity data, the non-purchase-related activity occurring subsequent to the purchase and therefore being unrelated to the purchase; apply first weights to the non-purchase-related activity; apply second weights to the purchase-related activity, the second weights being lower than the first weights; generate recommendations for the target user based at least in part on the user activity data of the target user, wherein said generation of the recommendations comprises ranking the recommendations based on the first weights applied to the non-purchase-related activity and the second weights applied to the purchase-related activity, such that at least some of the recommendations derived from the non-purchase-related activity are ranked higher than at least some of the recommendations derived from the purchase-related activity; and selecting a subset of the recommendations based on the rankings to present to the target user.