Disentangled Sequential Variational Autoencoder for Collaborative Filtering

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 behavio...

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Bibliographic Details
Main Author:	WU Mei-lin, HUANG Jia-jin, QIN Jin
Format:	Article
Language:	zho
Published:	Editorial office of Computer Science 2022-12-01
Series:	Jisuanji kexue
Subjects:	variational autoencoder\|deep learning\|sequence modeling\|disentangled learning\|collaborative filtering
Online Access:	https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2022-49-12-163.pdf

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