Solving the stability-accuracy-diversity dilemma of recommender systems

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• 作者：Lei Hou^a ; ^{lhou4397@gmail.com} ; Kecheng Liu^a ; ^b ; ^{k.liu@henley.ac.uk} ; Jianguo Liu^b ; ^{liujg004@ustc.edu.cn} ; Runtong Zhang^c ; ^{rtzhang@bjtu.edu.cn}
• 关键词：Recommender system ; Recommendation stability ; Stability&ndash ; accuracy&ndash ; diversity dilemma ; Heat Conduction algorithm
• 刊名：Physica A: Statistical Mechanics and its Applications
• 出版年：2017
• 出版时间：15 February 2017
• 年：2017
• 卷：468
• 期：Complete
• 页码：415-424
• 全文大小：559 K
• 卷排序：468

文摘

The stability–accuracy–diversity dilemma of recommender systems is addressed. By considering only the stable similarities, a top-nn-stability method is proposed. The proposed algorithm is proved to be efficient for solving the dilemma.