Patent ID: 8996540
Filing Date: 2015-03-31
Classification: G06F,G06Q

Abstract:
1. A method for recommending users in a user community to a target user, the method comprising: selecting a target user within the user community; selecting a user set within the user community excluding the target user; comparing a user profile for the target user with user profiles for one or more of the users in the user set to assess similarity of the target user profile to each of the other one or more users' profiles as a proxy for compatibility of the corresponding users; classifying a relationship type between the target user and each of the one or more of the users in the user set as one of a predetermined number of relevant relationship types; and generating a recommended set of compatible users for the target user responsive to the comparing and classifying steps, wherein the recommended set of compatible users comprises at least one user within the selected user set; and further wherein the target user's profile comprises a target user media item set [IS] and a target user recommended media item set [RS]; the user profiles for each of the users in the user set comprises a corresponding user media item set and a corresponding user recommended media item set; and each recommended media item set is generated by providing at least the corresponding user's media item set or recommended media item set as input to a computer-implemented recommender system, wherein the computer-implemented recommender system that generates the recommended media item set is driven by a predetermined knowledge base stored in a memory that contains correlation metrics among a collection of media data items.