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Title:
a reinforcement learning based tag recommendation
Author: Ge Feng ; He Yi ; Liu Jin ; Lv Xiaoming ; Zhang Wensheng ; Li Yiqun
Source: Advances in Intelligent and Soft Computing
Issued Date: 2011
Keyword: Intelligent systems ; Knowledge engineering ; Reinforcement ; Reinforcement learning ; Signal filtering and prediction
Indexed Type: EI
ISSN: 1867-5662
ISBN: 9783642256578
Department: (1) State Key Laboratory of Software Engineering Computer School Wuhan University 430072 China; (2) Logistics Group Wuhan University 430072 China; (3) State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China; (4) Baidu Inc. 100085 China
Abstract: This paper proposes a reinforcement learning based tag recommendation algorithm to deal with the data sparseness that affects the performance stability of collaborative filtering algorithms. Our algorithm integrates user tags into traditional collaborative filtering algorithms and attaching importance to user interest shift in the process of user interest learning process. Empirical Cases of comparing with traditional collaborative filtering algorithms indicate that our recommend algorithm exhibits better performance competition. © 2011 Springer-Verlag Berlin Heidelberg.
English Abstract: This paper proposes a reinforcement learning based tag recommendation algorithm to deal with the data sparseness that affects the performance stability of collaborative filtering algorithms. Our algorithm integrates user tags into traditional collaborative filtering algorithms and attaching importance to user interest shift in the process of user interest learning process. Empirical Cases of comparing with traditional collaborative filtering algorithms indicate that our recommend algorithm exhibits better performance competition. © 2011 Springer-Verlag Berlin Heidelberg.
Language: 英语
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/16295
Appears in Collections:软件所图书馆_会议论文

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Ge Feng,He Yi,Liu Jin,et al. a reinforcement learning based tag recommendation[C]. 见:.
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