Multi-temporal Sequential Recommendation Model Based on the Fused Learning Preferences

Abstract Since sequential recommendation can effectively capture the user’s dynamic interaction pattern according to the user’s historical interaction, it plays one of the important roles in the field of recommendation systems. Nowadays, the sequential recommendation models based on deep learning ap...

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Bibliographic Details

Published in:	International Journal of Computational Intelligence Systems
Main Authors:	Jianxia Chen, Liwei Pan, Shi Dong, Tianci Yu, Liang Xiao, Meihan Yao, Shijie Luo
Format:	Article
Language:	English
Published:	Springer 2023-09-01
Subjects:	Sequential recommendation Deep learning Time series embedding Global representation learning Local representation learning
Online Access:	https://doi.org/10.1007/s44196-023-00310-w