Patent ID: 8396760

Claim:
A method of generating personalized recommendations, the method comprising: accessing 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; identifying, from the user activity data, seed behavior comprising: first browsing activity of the user with respect to the electronic catalog, the first browsing activity having occurred subsequent to a purchase of the purchased item by the target user, wherein the first browsing activity is not related to the purchase, and second, purchase-related browsing activity of the target user, the second, purchase-related browsing activity being related to the purchase of the purchased item and occurring prior to the purchase; filtering the second, purchase-related browsing activity out of the seed behavior to produce filtered seed behavior; generating recommendations for the target user using the filtered seed behavior comprising the first browsing activity of the user instead of the second, purchase-related browsing activity, thereby generating recommendations for the target user that are not based on the purchase-related browsing activity of the target user; and outputting the recommendations for presentation to the target user; wherein at least said generating is implemented by computer hardware.