Bi-channel Multiple Sparse Graph Attention Networks for Session-based Recommendation-Reference-Cited by-同舟云学术

Bi-channel Multiple Sparse Graph Attention Networks for Session-based Recommendation

Published:2023-10-21 Issue: Volume: Page:
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Container-title:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
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Author:

Qiao Shutong¹^ORCID,Zhou Wei¹^ORCID,Wen Junhao¹^ORCID,Zhang Hongyu¹^ORCID,Gao Min¹^ORCID

Affiliation:

1. Chongqing University, Chongqing, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583780.3614791

Reference45 articles.

1. Gediminas Adomavicius and Alexander Tuzhilin . 2005. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions . IEEE transactions on knowledge and data engineering, 17, 6, 734--749. Gediminas Adomavicius and Alexander Tuzhilin. 2005. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE transactions on knowledge and data engineering, 17, 6, 734--749.

2. Dual Attention Transfer in Session-based Recommendation with Multi-dimensional Integration

3. AutoGSR

4. Handling Information Loss of Graph Neural Networks for Session-based Recommendation

5. Adversarial Distillation for Efficient Recommendation with External Knowledge

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