Patent ID: 8326777
Filing Date: 2012-12-04
Classification: G06N

Abstract:
1. A method comprising: generating, using at least one processor, training data from data identifying user web page interactions for a plurality of users, the training data comprising information to identify each user of the plurality and a plurality of items associated with the web page interactions of the plurality of users; training, using the at least one processor and the generated training data, a model to be used in making item recommendations; receiving an item recommendation request, the request identifying a requesting user; making, using the at least one processor, a determination whether to use short-term user behavior to make a recommendation; responsive to making a determination not to use short-term user behavior, the at least one processor using item scoring in the trained model, the item scoring identifying a plurality of scored items and the corresponding scores; responsive to making a determination to use short-term user behavior, the at least one processor: selecting, by the at least one processor, items from the plurality of scored items based on the item scoring; and providing, by the at least one processor, the selected items as item recommendations for the requesting user.