Clustering approach to collaborative filtering using social networks


This paper presents results of using clustering to improve results of collaborative filtering. Clusters of users are created using friendship links within a social network using Markov Chain Algorithm (MCL). Clusters are then used to make prediction of user choices using item based collaborative filtering with cosine similarity. Using the results from… (More)


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