Recommendation System Based on Users Preference Mining Generative Adversarial Networks

Recommendation System Based on Users Preference Mining Generative Adversarial Networks

Users preference mining is one of the key issues in the research field of recommendation system, and it plays a very important role in improving the recommendation performance. Users preference mining generative adversarial networks (UPM-GAN) is proposed to better analyze the implicit users prefe...

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Bibliographic Details
Main Author: LI Guangli, HUA Jin, YUAN Tian, ZHU Tao, WU Renzhong, JI Donghong, ZHANG Hongbin
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2020-05-01
Series:Jisuanji kexue yu tansuo
Subjects:
recommendation systems
generative adversarial networks (gan)
users preference mining
singular value decomposition (svd++)
triplet loss
hard negative samples
Online Access:http://fcst.ceaj.org/CN/abstract/abstract2193.shtml

Internet

http://fcst.ceaj.org/CN/abstract/abstract2193.shtml

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