Patent ID: 8676736
Filing Date: 2014-03-18
Classification: G06F,G06N,G06Q

Abstract:
1. A method of providing personalized item recommendations in a communication system comprising a server and a plurality of client devices, the method comprising at the server, receiving a plurality of user rating vectors r at the server, aggregating the user rating vectors r at the server, factorizing said rating matrix R into a user feature matrix P and an item feature matrix Q, wherein the product {circumflex over (R)} of said user feature matrix P and said item feature matrix Q approximates the user rating matrix R, said factorization comprising the steps of either the ALS1 or the IALS1 algorithm presented in this patent application, namely: transmitting, from the server, said item feature matrix Q to at least one client device, generating a predictive rating vector {circumflex over (r)} by using a predefined selection scheme, selecting at least one item for recommendation to user from the items associated with the predictive rating vector {circumflex over (r)}