Recommender systems
- Lü, Linyuan Institute of Information Economy, Alibaba Business School, Hangzhou Normal University, China - Department of Physics, University of Fribourg, Switzerland - Web Sciences Center, University of Electronic Science and Technology of China, Chengdu, China
- Medo, Matúš Department of Physics, University of Fribourg, Switzerland
- Yeung, Chi Ho Department of Physics, University of Fribourg, Switzerland - The Nonlinearity and Complexity Research Group, Aston University, United Kingdom
- Zhang, Yi-Cheng Department of Physics, University of Fribourg, Switzerland
- Zhang, Zi-Ke Institute of Information Economy, Alibaba Business School, Hangzhou Normal University, China - Department of Physics, University of Fribourg, Switzerland - Web Sciences Center, University of Electronic Science and Technology of China, Chengdu, China
- Zhou, Tao Institute of Information Economy, Alibaba Business School, Hangzhou Normal University, China - Department of Physics, University of Fribourg, Switzerland - Web Sciences Center, University of Electronic Science and Technology of China, Chengdu, China
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06.03.2012
Published in:
- Physics Reports. - 2012, vol. 519, no. 1, p. 1–49
English
The ongoing rapid expansion of the Internet greatly increases the necessity of effective recommender systems for filtering the abundant information. Extensive research for recommender systems is conducted by a broad range of communities including social and computer scientists, physicists, and interdisciplinary researchers. Despite substantial theoretical and practical achievements, unification and comparison of different approaches are lacking, which impedes further advances. In this article, we review recent developments in recommender systems and discuss the major challenges. We compare and evaluate available algorithms and examine their roles in the future developments. In addition to algorithms, physical aspects are described to illustrate macroscopic behavior of recommender systems. Potential impacts and future directions are discussed. We emphasize that recommendation has great scientific depth and combines diverse research fields which makes it interesting for physicists as well as interdisciplinary researchers.
- Faculty
- Faculté des sciences et de médecine
- Department
- Département de Physique
- Language
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- English
- Classification
- Physics
- License
- License undefined
- Identifiers
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- RERO DOC 30535
- DOI 10.1016/j.physrep.2012.02.006
- Persistent URL
- https://folia.unifr.ch/unifr/documents/302671
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