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基于项目和信任的协同过滤推荐算法

Release Time:2019-03-10  Hits:

Indexed by: Journal Article

Date of Publication: 2013-01-15

Journal: 计算机工程

Included Journals: CSCD、ISTIC

Volume: 39

Issue: 1

Page Number: 58-62,66

ISSN: 1000-3428

Key Words: 推荐系统;协同过滤;基于信任网络推荐;冷启动推荐;混合推荐;云模型

Abstract: 为解决冷启动用户的推荐问题,对TrustWalker算法在相似度计算、可能性项目选择和预测评分等方面进行改进,提出一种基于项目和信任的协同过滤推荐算法CoTustWalker.采用云模型相似度方法计算项目间的相似度,通过选择最相似的若干个项目的聚合结果作为随机游走的返回结果,从而提高推荐结果的稳定性.实验结果表明,CoTrustWalker算法在小规模数据集上与TrustWalker算法相比,其推荐质量和推荐速度均有较大提高.

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