模式识别与人工智能
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  2020, Vol. 33 Issue (4): 295-302    DOI: 10.16451/j.cnki.issn1003-6059.202004002
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Personalized Recommendation Algorithm Based on Deep Neural Network and Weighted Implicit Feedback
XUE Feng1, LIU Kai1, WANG Dong1, ZHANG Haobo1
1.School of Computer Science and Information Engineering, Hefei University of Technology, Hefei 230009

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Abstract  

In singular value decomposition++(SVD++), inner product of user and item feature vector is regarded as user's rating of items. However, inner product cannot capture the high-order nonlinear relationship between the user and the item. In addition, the contribution of different interactive items cannot be distinguished when user's implicit feedback is incorporated in SVD++. A recommendation algorithm based on deep neural network and weighted implicit feedback is proposed to solve the two problems. Deep neural network is adopted to model the relationship between the user and the object and attention mechanism is utilized to calculate the weight of historical interactive items in modeling user's implicit feedback. Experiments on public datasets verify the effectiveness of the proposed algorithm.

Key wordsRecommendation System      Collaborative Filtering      Weighted Implicit Feedback      Matrix Factorization     
Received: 29 September 2019     
ZTFLH: TP 391.3  
Fund:

Supported by National Key Research and Development Program of China(No.2017YFB0803301), National Natural Science Foundation of China(No.61772170)

Corresponding Authors: XUE Feng, Ph.D., professor. His research interests include information retrieval and multimedia analysis.   
About author:: XUE FengCorresponding author, Ph.D., professor. His research interests include information retrieval and multimedia analysis.
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XUE Feng,LIU Kai,WANG Dong等. Personalized Recommendation Algorithm Based on Deep Neural Network and Weighted Implicit Feedback[J]. , 2020, 33(4): 295-302.
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http://manu46.magtech.com.cn/Jweb_prai/EN/10.16451/j.cnki.issn1003-6059.202004002      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2020/V33/I4/295
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