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Collaborative Filtering Algorithm introduced factor of authority and trust

机译:协同过滤算法引入权威和信任因素

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The traditional collaborative filtering algorithm is too much emphasizing on the role of similarity of the predicted value that there have a higher Sparse Data and poor result of Recomm-endation. In addition to similarity, the user's trust and authority are also an important factor that will affect the result of recomm -endation in the algorithm by analyzing. Proposing a new filter - ing method by introducing factor of authority and trust, by which the users have a more reasonable and reasonable assessment of the resources. Experiments show the effectiveness of the algorithm.
机译:传统的协作过滤算法太大强调了预测值的相似性的作用,即具有较高的稀疏数据和推荐终止的差。除了相似之处之外,用户的信任和权限也是通过分析来影响算法的建议结果的重要因素。通过引入权威和信任因素提出新的过滤方法,用户对资源具有更合理和合理的评估。实验表明了算法的有效性。

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