Hidden Markov model fused with staying time for personalized recommendation

Static model in the recommendation system often regards the user's interest as changeless,which is inconsis-tent with the actual to a certain extent.With regards to this,a hidden Markov model fused with staying time for personal-ized recommendation (ctqHMM) based on the HMM dynamic model is pro...

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Bibliographic Details
Main Authors:	Sheng-zong LIU, Xiao-ping FAN, Zhi-fang LIAO, Jia HU
Format:	Article
Language:	zho
Published:	Editorial Department of Journal on Communications 2014-09-01
Series:	Tongxin xuebao
Subjects:	Web mining classified time homogeneous hidden Markov model stationary distribution user clustering personalized recommendation HMM
Online Access:	http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.09.011/
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Hidden Markov model fused with staying time for personalized recommendation

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