Solving the stability-accuracy-diversity dilemma of recommender systems

DOI10.1016/J.PHYSA.2016.10.083zbMath1400.68212OpenAlexW2547634439MaRDI QIDQ1620313

Kecheng Liu, Runtong Zhang, Lei Hou, Jian-guo Liu

Publication date: 13 November 2018

Published in: Physica A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physa.2016.10.083

zbMATH Keywords

recommender systemheat conduction algorithmrecommendation stabilitystability-accuracy-diversity dilemma

Mathematics Subject Classification ID

Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35) Computing methodologies for information systems (hypertext navigation, interfaces, decision support, etc.) (68U35)

Related Items (1)

Measuring transferring similarity via local information

Cites Work

• Unnamed Item
• E-commerce recommendation applications
• Emergence of Scaling in Random Networks
• Effect of the social influence on topological properties of user-object bipartite networks

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