Patent ID: 8103675
Filing Date: 2012-01-24
Classification: G06N

Abstract:
1. A method of predicting user-item ratings comprising: providing with at least one processor a first matrix of hidden variables associated with individual items, a second matrix of hidden variables associated with individual users, a third matrix of predicted user-item ratings derived from an inner product of vectors in said first and second matrices, and a fourth matrix of actual user-item ratings; and with said at least one processor, alternately fixing one of said first and second matrices and solving the other of said first and second matrices repeatedly until a stopping criterion is satisfied; wherein said solving comprises adjusting values of said hidden variables in said matrix being solved by employing a weighted-λ regularization of at least one of said first and said second matrices to minimize a sum of squared errors between actual user-item ratings in said fourth matrix and corresponding predicted user-item ratings in said third matrix.