Online collaborative filtering with implicit feedback

Studying recommender systems with implicit feedback has become increasingly important. However, most existing works are designed in an offline setting while online recommendation is quite challenging due to the one-class nature of implicit feedback. In this paper, we propose an online collaborative...

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Bibliographic Details
Main Authors: YIN, Jianwen, LIU, Chenghao, LI, Jundong, DAI, Bing Tian, CHEN, Yun-Chen, WU, Min, SUN, Jianling
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2019
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Online Access:https://ink.library.smu.edu.sg/sis_research/4420
https://ink.library.smu.edu.sg/context/sis_research/article/5423/viewcontent/Yin2019_Chapter_OnlineCollaborativeFilteringWi.pdf
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Institution: Singapore Management University
Language: English