Dynamic Graph Learning for Session-Based Recommendation

Dynamic Graph Learning for Session-Based Recommendation

Session-based recommendation (SBRS) aims to make recommendations for users merely based on the ongoing session. Existing GNN-based methods achieve satisfactory performance by exploiting the pair-wise item transition pattern; however, they ignore the temporal evolution of the session graphs over diff...

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Bibliographic Details
Main Authors: Zhiqiang Pan, Wanyu Chen, Honghui Chen
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Mathematics
Subjects:
recommender systems
session-based recommendation
dynamic graph learning
graph neural networks
corrective margin softmax
Online Access:https://www.mdpi.com/2227-7390/9/12/1420

Internet

https://www.mdpi.com/2227-7390/9/12/1420

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