Patent ID: 8738467
Filing Date: 2014-05-27
Classification: G06F,G06Q

Abstract:
1. A computer-implemented method of providing a predictive recommendation for a first item to an active user based at least in part on ratings of the first item, the method comprising: selecting, by a computing device, from a set of N clusters comprising users, at least one cluster that is similar to the active user based at least in part on ratings of multiple items made by the users in the N clusters; from the at least one cluster, determining, by the computing device, based at least in part on ratings of the multiple items that have been rated by users in the at least one cluster, similarity values for users in the at least one cluster; identifying, by the computing device, based at least in part on the similarity values, K users that are similar to the active user, wherein each of the K users have provided a rating for the first item; and providing, by the computing device, the predictive recommendation for the first item to the active user based at least in part on determining: