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Recommendation algorithm based on collaborative filtering under social network environment

Author(s): Caixia Lu

A collaborative recommendation algorithm based on community found is proposed in this paper. The idea of community is introduced in collaborative recommendation, at the same time the scoring pre-treatment is joined, in order to solve some problems in the traditional collaborative filtering recommendation. Results demonstrate that algorithm proposed in this paper is better than the algorithms based on the Pearson similarity and Cosine similarity.

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