%A Li Linna, Li Jianchun, Zhang Zhiping %T Research on Collaborative Filtering of Heuristic Transitive Similarity Between Items %0 Journal Article %D 2013 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.1003-3513.2013.01.05 %P 30-35 %V 29 %N 1 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_3676.shtml} %8 2013-01-25 %X 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.