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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Main Authors: | Sheng-zong LIU, Xiao-ping FAN, Zhi-fang LIAO, Jia HU |
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Format: | Article |
Language: | zho |
Published: |
Editorial Department of Journal on Communications
2014-09-01
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Series: | Tongxin xuebao |
Subjects: | |
Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.09.011/ |
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