Similar User Clustering based on MovieLens Data Set
Haesung Lee, Joonhee Kwon · Advanced science and technology letters · 2014
General recommender algorithms compose persomalized recommendrations based on similar users. In this paper, we present new social clustering method. Based on this method we cluster similar users belonging to the social recommender network. The social recommender network is generated from the data set of MovieLens. Through the presented similar user clustering method, we effectively compose similar user clusters. Consequentially, the proposed method help recommender systems efficiently compose personalized recommendations.