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Collaborative Filtering Recommendation Algorithm Based on Improved Trustworthiness |
Jin Yaya, Mou Yuanchao |
School of Business,East China University of Science and Technology,Shanghai 200237,China |
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Abstract This paper suggests that trust is another important factor effecting recommendation result and introduces trust- worthiness into traditional collaborative filtering algorithm. It proposes a collaborative filtering recommendation algorithm based on improved trustworthiness,which combines similarity and trustworthiness to substitute traditional similarity weight. The experiment results can prove the validity and superiority of the proposed algorithm.
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Received: 19 July 2010
Published: 04 January 2011
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