计算机科学与探索2015，Vol.9Issue(11)：1391-1397,7.DOI:10.3778/j.issn.1673-9418.1507042
基于双信任机制的TrustSVD算法
TrustSVD Algorithm Based on Double Trust Mechanism
摘要
Abstract
To resolve the problems of data sparsity and cold-start of the collaborative filtering algorithms in recom-mender systems, the trust information has being introduced to recommender systems, it can effectively alleviate these problems above by adding the users'explicit trust information. But the explicit trust information is more diffi-cult to obtain or sparse, in order to better improve the efficiency of recommendation, in the basis of TrustSVD algo-rithm based on explicit trust, this paper introduces the implicit trust information, and proposes a singular value decom-position (SVD) algorithm based on double trust mechanism, named EITrustSVD. At the same time of getting a reli-able recommendation by using the explicit trust, the EITrustSVD algorithm gets a recommendation related to user performance through implicit trust. The experimental results show that the proposed algorithm is a better solution to the problem of cold-start, and has a better recommendation accuracy.关键词
信任推荐/协同过滤/奇异值分解(SVD)/推荐系统/隐式信任Key words
trust recommendation/collaborative filtering/singular value decomposition (SVD)/recommender sys-tems/implicit trust分类
信息技术与安全科学引用本文复制引用
田尧,秦永彬,许道云,张丽..基于双信任机制的TrustSVD算法[J].计算机科学与探索,2015,9(11):1391-1397,7.基金项目
The National Natural Science Foundation of China under Grant No. 61262006 (国家自然科学基金) （国家自然科学基金）
the Major Applied Basic Re-search Program of Guizhou Province under Grant No. JZ20142001 (贵州省重大应用基础研究项目) （贵州省重大应用基础研究项目）
the Science and Technology Foundation of Guizhou Province under Grant No. LH20147636 (贵州省科技厅联合基金). （贵州省科技厅联合基金）
