Socially-aware Dual Contrastive Learning for Cold-Start Recommendation-Reference-Cited by-同舟云学术

Socially-aware Dual Contrastive Learning for Cold-Start Recommendation

Published:2022-07-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
language:
Short-container-title:

Author:

Du Jing¹,Ye Zesheng¹,Yao Lina¹,Guo Bin²,Yu Zhiwen²

Affiliation:

1. The University of New South Wales, Sydney, NSW, Australia

2. Northwestern Polytechnical University, Xi'an, Shaanxi, China

Funder

Chinese Scholarship Council

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3477495.3531780

Reference24 articles.

1. Himan Abdollahpouri Robin Burke and Bamshad Mobasher. 2019. Managing popularity bias in recommender systems with personalized re-ranking. In The thirty-second international flairs conference. Himan Abdollahpouri Robin Burke and Bamshad Mobasher. 2019. Managing popularity bias in recommender systems with personalized re-ranking. In The thirty-second international flairs conference.

2. Rianne van den Berg , Thomas N Kipf , and Max Welling . 2017. Graph convolutional matrix completion. arXiv preprint arXiv:1706.02263 ( 2017 ). Rianne van den Berg, Thomas N Kipf, and Max Welling. 2017. Graph convolutional matrix completion. arXiv preprint arXiv:1706.02263 (2017).

3. Ting Chen , Simon Kornblith , Mohammad Norouzi , and Geoffrey Hinton . 2020 . A simple framework for contrastive learning of visual representations . In International conference on machine learning. PMLR, 1597--1607 . Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton. 2020. A simple framework for contrastive learning of visual representations. In International conference on machine learning. PMLR, 1597--1607.

4. Xinlei Chen , Haoqi Fan , Ross Girshick , and Kaiming He. 2020. Improved baselines with momentum contrastive learning. arXiv preprint arXiv:2003.04297 ( 2020 ). Xinlei Chen, Haoqi Fan, Ross Girshick, and Kaiming He. 2020. Improved baselines with momentum contrastive learning. arXiv preprint arXiv:2003.04297 (2020).

5. Wenqi Fan , Yao Ma , Qing Li , Yuan He , Eric Zhao , Jiliang Tang , and Dawei Yin . 2019 . Graph Neural Networks for Social Recommendation. In TheWorld WideWeb Conference ( San Francisco, CA, USA) (WWW'19). Association for Computing Machinery, New York, NY, USA, 417--426. https://doi.org/10.1145/3308558.3313488 Wenqi Fan, Yao Ma, Qing Li, Yuan He, Eric Zhao, Jiliang Tang, and Dawei Yin. 2019. Graph Neural Networks for Social Recommendation. In TheWorld WideWeb Conference (San Francisco, CA, USA) (WWW'19). Association for Computing Machinery, New York, NY, USA, 417--426. https://doi.org/10.1145/3308558.3313488

Cited by 20 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. Multi-level cross-modal contrastive learning for review-aware recommendation;Expert Systems with Applications;2024-08

2. CMCLRec: Cross-modal Contrastive Learning for User Cold-start Sequential Recommendation;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

3. Integrating learners’ knowledge background to improve course recommendation fairness: A multi-graph recommendation method based on contrastive learning;Information Processing & Management;2024-07

4. Inhomogeneous Interest Modeling via Hypergraph Convolutional Networks for Social Recommendation;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

5. A Survey of Graph Neural Networks for Social Recommender Systems;ACM Computing Surveys;2024-06-22