GENERATING RECOMMENDATIONS FOR UNFAMILIAR USERS BY UTILIZING SOCIAL SIDE INFORMATION

摘要

System and method for identifying commodities for recommendation to a target user based on side information that is pertinent to a specific target user and extrinsic to the commodities. Training data is exploited to derive a statistical correlation between users' side information of a plurality of attributes with a plurality of commodities. The training data includes side information of a set of training users and a plurality of commodities towards which the training users have manifested preference. Based on the derived statistical correlation and the target user's side information, a probability distribution representing the target user's tendency to purchase the plurality of commodities can be determined. As a result, a list of commodities can be automatically selected from the plurality of commodities and recommended to the target user.

主权项

1. A computer implemented method of automatically generating a recommendation list of commodities to a target user, said method comprising:
accessing a first correlation that correlates a plurality of training users and a plurality of attributes pertinent thereto; accessing a second correlation that correlates said plurality of training users and a plurality of commodities; accessing information on said plurality of attributes with respect to said target user; and determining said recommendation list of commodities for said target user based on said first correlation, said second correlation and said information, wherein said recommendation list of commodities are selected from said plurality of commodities.