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 each of the users in the user set to assess similarity of the target user profile to each of the other users' profiles as a proxy for compatibility of the corresponding users; and generating a recommended set of compatible users for the target user responsive to the comparing step, 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 the corresponding user's media item set as input to a computer-implemented recommender system, wherein the computer-implemented recommender system generates the recommended media item set based on a predetermined knowledge base stored in memory that contains concurrency metrics among collections of mediasets, the concurrency metrics associating each media item in the user's media item set with at least one media item in the recommended media item set.