A user clustering algorithm considering user's interest-offset

Zhou Guoqiang, Zhang Weifeng, Ding Hao, Zhou Guofu · 2013

This paper proposes a user-clustering algorithm against user interest-offset which may lead to inaccuracy of cluster. At first, we builds an item characteristic network diagram. Then we classify more-interested users and interest-offset users with improved Markov algorithm and cluster users with k-means algorithm. The experiment shows that we can get a higher recommender accuracy using this algorithm which is proposed in this paper.

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