启发式的物品相似度传播的协同过滤算法研究

Research on Collaborative Filtering of Heuristic Transitive Similarity Between Items

针对基于物品的协同过滤推荐方法只能发现具有共同用户打分的项目之间的相似关系的问题,受到社会网络中人与人之间的信任关系具有传递性质的思想的启发,认为物品之间的相似关系也具有相应的传递性并提出基于启发式的物品相似度传播的协同过滤推荐方法。最后通过实验验证该方法可以提高基于物品的协同过滤推荐方法的推荐质量。

Aiming at the problem of only finding similar relationship between items rated by common users and enlightened by the transitivity between peoples among social network, this paper figures that the similarity between items also have transitivity. A collaborative filtering algorithm based on heuristic similarity propagation between items is proposed. The experiments indicate that the proposed method can provide better recommendation accuracy by comparing with classic collaborative filtering algorithms.