Learning Sequential General Pattern and Dependency via Hybrid Neural Model for Session-Based Recommendation

Learning Sequential General Pattern and Dependency via Hybrid Neural Model for Session-Based Recommendation

Recent study shows that recommendation system not only relys on user’s static preference, but also dynamic preference. Consequently, it leads to the emergence of session-based recommendation. With the development of recurrent neural network, this kind of method can capture representations...

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Bibliographic Details
Main Authors:	Quan Li, Xinhua Xu, Jinjun Liu, Guangmin Li
Format:	Article
Language:	English
Published:	IEEE 2022-01-01
Series:	IEEE Access
Subjects:	Session-based recommendation recurrent residual convolution bidirectional recurrent neural network cross entropy
Online Access:	https://ieeexplore.ieee.org/document/9866059/

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