Self-supervised hypergraph neural network for session-based recommendation supported by user continuous topic intent-Reference-Cited by-同舟云学术

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Self-supervised hypergraph neural network for session-based recommendation supported by user continuous topic intent

Published:2024-03 Issue: Volume:154 Page:111406
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Yang Fan,Peng Dunlu^ORCID,Zhang Shuo

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference38 articles.

1. A survey on session-based recommender systems;Wang;ACM Comput. Surv.,2022

2. GC-HGNN: a global-context supported hypergraph neural network for enhancing session-based recommendation;Peng;Electron. Commer. Res. Appl.,2022

3. Contrastive learning for session-based recommendation;Chen,2022

4. Recurrent neural networks with top-k gains for session-based recommendations;Hidasi,2018

5. Neural attentive session-based recommendation;Li,2017

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Spatio-Temporal Contrastive Heterogeneous Graph Attention Networks for Session-Based Recommendation;Mathematics;2024-04-16

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