Collaborative filtering recommendation algorithm based on variational inference

Collaborative filtering recommendation algorithm based on variational inference

PurposeThe purpose of this paper is to alleviate the problem of poor robustness and over-fitting caused by large-scale data in collaborative filtering recommendation algorithms.Design/methodology/approachInterpreting user behavior from the probabilistic perspective of hidden variables is helpful to...

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Bibliographic Details
Main Authors: Kai Zheng, Xianjun Yang, Yilei Wang, Yingjie Wu, Xianghan Zheng
Format: Article
Language:English
Published: Tsinghua University Press 2020-03-01
Series:International Journal of Crowd Science
Subjects:
collaborative filtering
probabilistic perspective
variational inference
variational auto-encoder
kl-vanishing problem
Online Access:https://www.sciopen.com/article/10.1108/IJCS-10-2019-0030

Internet

https://www.sciopen.com/article/10.1108/IJCS-10-2019-0030

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