Diversified interactive recommendation with implicit feedback

Interactive recommender systems that enable the interactions between users and the recommender system have attracted increasing research attention. Previous methods mainly focus on optimizing recommendation accuracy. However, they usually ignore the diversity of the recommendation results, thus usua...

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Bibliographic Details
Main Authors: Liu, Yong, Xiao, Yingtai, Wu, Qiong, Miao, Chunyan, Zhang, Juyong, Zhao, Binqiang, Tang, Haihong
Other Authors: School of Computer Science and Engineering
Format: Conference Paper
Language:English
Published: 2020
Subjects:
Online Access:https://hdl.handle.net/10356/144288