计算机应用与软件Issue(11)：42-44,105,4.DOI:10.3969/j.issn.1000-386x.2013.11.012
一种基于自适应信任计算的推荐系统算法
A RECOMMENDER SYSTEM ALGORITHM BASED ON ADAPTIVE TRUST CALCULATION
摘要
Abstract
Collaborative filtering algorithm based on k-nearest neighbour ( KNN) is one of the most core technologies in recommender sys-tem, and is the most widely applied technology at present .Trust-based recommender system can effectively solve the problems such as “cold start” and“vulnerability” encountered by the traditional collaborative filtering technology in its application .In this paper we present an adap-tive trust algorithm combining the above two recommender system algorithms .This algorithm has the characteristic that it can adaptively select the trusted calculation algorithm and the number of trusted nearest neighbours .关键词
推荐系统/信任/自适应Key words
Recommender system/Trust/Adaptive分类
信息技术与安全科学引用本文复制引用
黄文亮,韩立新,曾晓勤,王敏..一种基于自适应信任计算的推荐系统算法[J].计算机应用与软件,2013,(11):42-44,105,4.基金项目
国家自然科学基金项目（60971088）；江苏省高校“青蓝工程”中青年学术带头人培养对象项目；教育部新世纪优秀人才支持计划项目（ NCET -10-0327）。 （）
