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.
金亚亚, 牟援朝. 基于改进信任度的协同过滤推荐算法[J]. 现代图书情报技术, 2010, 26(10): 49-53.
Jin Yaya, Mou Yuanchao. Collaborative Filtering Recommendation Algorithm Based on Improved Trustworthiness. New Technology of Library and Information Service, 2010, 26(10): 49-53.
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