Pairwise Intent Graph Embedding Learning for Context-Aware Recommendation-Reference-Cited by-同舟云学术

Pairwise Intent Graph Embedding Learning for Context-Aware Recommendation

Published:2023-09-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 17th ACM Conference on Recommender Systems
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Author:

Liu Dugang¹^ORCID,Wu Yuhao²^ORCID,Li Weixin²^ORCID,Zhang Xiaolian³^ORCID,Wang Hao³^ORCID,Yang Qinjuan³^ORCID,Ming Zhong¹^ORCID

Affiliation:

1. Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, China

2. College of Computer Science and Software Engineering, Shenzhen University, China

3. Huawei 2012 Lab, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3604915.3608815

Reference38 articles.

1. Gediminas Adomavicius Konstantin Bauman Alexander Tuzhilin and Moshe Unger. 2022. Context-aware recommender systems: From foundations to recent developments. In Recommender Systems Handbook. 211–250. Gediminas Adomavicius Konstantin Bauman Alexander Tuzhilin and Moshe Unger. 2022. Context-aware recommender systems: From foundations to recent developments. In Recommender Systems Handbook. 211–250.

2. Matrix factorization techniques for context aware recommendation

3. Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences

4. Efficient Non-Sampling Factorization Machines for Optimal Context-Aware Recommendation

5. Zhang Chuanyan and Hong Xiaoguang . 2021 . Neural graph filtering for context-aware recommendation . In Proceedings of the 13th Asian Conference on Machine Learning. 969–984 . Zhang Chuanyan and Hong Xiaoguang. 2021. Neural graph filtering for context-aware recommendation. In Proceedings of the 13th Asian Conference on Machine Learning. 969–984.

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