Tag-Aware Recommender Systems：A State-of-the-Art Survey

In the past decade,Social Tagging Systems have attracted increasing attention from both physical and computer science communities.Besides the underlying structure and dynamics of tagging systems,many efforts have been addressed to unify tagging information to reveal user behaviors and preferences,ex...

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Bibliographic Details
Published inJournal of computer science and technology Vol. 26; no. 5; pp. 767 - 777
Main Author 张子柯 周涛 张翼成
Format Journal Article
LanguageEnglish
Published Boston Springer US 01.09.2011
Springer Nature B.V
Institute of Information Economy, Hangzhou Normal University, Hangzhou 310036, China
Web Sciences Center, University of Electronic Science and Technology, Chengdu 610054, China
Department of Physics, University of Fribourg, Chemin du Musée 1700 Fribourg, Switzerland%Web Sciences Center, University of Electronic Science and Technology, Chengdu 610054, China
Subjects
Algorithms
Analysis
Artificial Intelligence
Collaboration
Computer Science
Data Structures and Information Theory
Information management
Information Systems Applications (incl.Internet)
Internet
Recommender systems
Search engines
Semantic relations
Semantics
Social networks
Software Engineering
Studies
Tagging
Tags
Tensors
Theory of Computation
User behavior
Vocabularies & taxonomies
Zipf's Law
感知
推荐算法
推荐系统
标签系统
用户行为
艺术
计算机科学
语义关系
tag-aware recommendation
social tagging systems
network-based/tensor-based/topic-based methods
Online AccessGet full text
ISSN1000-9000
1860-4749
DOI10.1007/s11390-011-0176-1

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Summary:In the past decade,Social Tagging Systems have attracted increasing attention from both physical and computer science communities.Besides the underlying structure and dynamics of tagging systems,many efforts have been addressed to unify tagging information to reveal user behaviors and preferences,extract the latent semantic relations among items,make recommendations,and so on.Specifically,this article summarizes recent progress about tag-aware recommender systems,emphasizing on the contributions from three mainstream perspectives and approaches：network-based methods,tensor-based methods,and the topic-based methods.Finally,we outline some other tag-related studies and future challenges of tag-aware recommendation algorithms.
Bibliography:11-2296/TP
In the past decade,Social Tagging Systems have attracted increasing attention from both physical and computer science communities.Besides the underlying structure and dynamics of tagging systems,many efforts have been addressed to unify tagging information to reveal user behaviors and preferences,extract the latent semantic relations among items,make recommendations,and so on.Specifically,this article summarizes recent progress about tag-aware recommender systems,emphasizing on the contributions from three mainstream perspectives and approaches：network-based methods,tensor-based methods,and the topic-based methods.Finally,we outline some other tag-related studies and future challenges of tag-aware recommendation algorithms.
social tagging systems; tag-aware recommendation; network-based/tensor-based/topic-based methods
Zi-Ke Zhang ,Tao Zhou , Yi-Cheng Zhang 1 Institute of Information Economy,Hangzhou Normal University,Hangzhou 310036,China 2 Web Sciences Center,University of Electronic Science and Technology,Chengdu 610054,China 3 Department of Physics,University of Fribourg,Chemin du Mus＇ee 1700 Fribourg,Switzerland
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ISSN:1000-9000
1860-4749
DOI:10.1007/s11390-011-0176-1