Variational Continuous Bayesian Meta-learning Based Algorithm for Recommendation

Meta-learning methods have been introduced into recommendation algorithms in recent years to alleviate the problem of cold start.The existing meta-learning algorithms can only improve the ability of the algorithm to deal with a set of statically distributed data sets（tasks）.When faced with multiple...

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Bibliographic Details

Published in:	Ji suan ji ke xue Vol. 50; no. 7; pp. 66 - 71
Main Authors:	Zhu, Wentao, Liu, Wei, Liang, Shangsong, Zhu, Huaijie, Yin, Jian
Format:	Journal Article
Language:	Chinese
Published:	Chongqing Guojia Kexue Jishu Bu 01.07.2023 Editorial office of Computer Science
Subjects:	Algorithms Bayesian analysis Datasets Knowledge management Machine learning Mathematical models Parameter robustness recommendation algorithm|cold-start problem|meta-learning|dynamic gaussian mixture model Recommender systems
ISSN:	1002-137X
Online Access:	Get full text
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