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结合用户行为信息和信任传递的推荐算法 被引量：1

A recommendation algorithm based on user behavior information and trust transferring
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摘要 通过用户行为信息并结合信任传递推断用户隐式信任关系,提出了基于矩阵分解的PTtrustSVD算法,并在Filmtrust数据集上进行了实验.结果表明,加入隐式信任关系优于仅使用显式信任关系的推荐方法,证明了隐式信任关系对于改进推荐系统性能的有效性. Based on the similarity of user behavior information and trust transferring to infer the implicit trust relationship, this paper proposes a novel algorithm that integrated with matrix composition technique, namely, PTtrustSVD. The experimental results show that the purposed method using the implicit trust relation outperforms that only using explicit trust relation in the Filmtrust dataset, and prove that the implicit trust relation is effective for the recommender system.
作者 张邦佐 王佳同 孙玮 乔书玉 冯国忠 孙小新
机构地区 东北师范大学信息科学与技术学院
出处 《东北师大学报（自然科学版）》 CAS CSCD 北大核心 2017年第4期71-75,共5页 Journal of Northeast Normal University(Natural Science Edition)
基金 国家自然科学基金资助项目(71473035 11501095) 吉林省科技发展计划项目(20150204040GX 20170520051JH) 吉林省发改委项目(2015Y055) 东北师范大学自然科学基金资助项目(2014015KJ004)
关键词 推荐系统 隐式信任 信任传递 recommender system implicit trust trust transferring
分类号 TP391.3 [自动化与计算机技术—计算机应用技术]
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东北师大学报（自然科学版）
2017年 第4期

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