Disentangled Sequential Variational Autoencoder for Collaborative Filtering

Recommendation models typically use user's historical behaviors to obtain user preference representations for recommendations.Most of the methods of learning user representations always entangle different preference factors, while the disentangled learning method can be used to decompose user b...

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Bibliographic Details

Published in:	Ji suan ji ke xue Vol. 49; no. 12; pp. 163 - 169
Main Authors:	Wu, Mei-lin, Huang, Jia-jin, Qin, Jin
Format:	Journal Article
Language:	Chinese
Published:	Chongqing Guojia Kexue Jishu Bu 01.12.2022 Editorial office of Computer Science
Subjects:	Coders Decoders Learning Multilayer perceptrons Multilayers Recurrent neural networks Representations User behavior variational autoencoder|deep learning|sequence modeling|disentangled learning|collaborative filtering
ISSN:	1002-137X
Online Access:	Get full text
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