Cross-View Sample-Enriched Graph Contrastive Learning Network for Personalized Micro-video Recommendation-Reference-Cited by-同舟云学术

Cross-View Sample-Enriched Graph Contrastive Learning Network for Personalized Micro-video Recommendation

Published:2023-06-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 ACM International Conference on Multimedia Retrieval
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Author:

He Ying¹^ORCID,Wu Gongqing¹^ORCID,Cai Desheng²^ORCID,Hu Xuegang¹^ORCID

Affiliation:

1. Key Laboratory of Knowledge Engineering with Big Data (the Ministry of Education of China), Hefei University of Technology, China and School of Computer Science and Information Engineering, Hefei University of Technology, China

2. School of Computer Science and Information Engineering, Hefei University of Technology, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Program for Innovative Research Team in University of the Ministry of Education

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3591106.3592220

Reference34 articles.

1. Heterogeneous Graph Contrastive Learning Network for Personalized Micro-video Recommendation

2. Desheng Cai , Shengsheng Qian , Quan Fang , and Changsheng Xu. 2021. Heterogeneous Hierarchical Feature Aggregation Network for Personalized Micro-video Recommendation . IEEE Transactions on Multimedia ( 2021 ), 805–818. Desheng Cai, Shengsheng Qian, Quan Fang, and Changsheng Xu. 2021. Heterogeneous Hierarchical Feature Aggregation Network for Personalized Micro-video Recommendation. IEEE Transactions on Multimedia (2021), 805–818.

3. Ting Chen , Simon Kornblith , Mohammad Norouzi , and Geoffrey E. Hinton . 2020 . A Simple Framework for Contrastive Learning of Visual Representations . In Proceedings of the 37th International Conference on Machine Learning, ICML 2020 , 13-18 July 2020, Virtual Event(Proceedings of Machine Learning Research, Vol. 119). PMLR, 1597–1607. Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey E. Hinton. 2020. A Simple Framework for Contrastive Learning of Visual Representations. In Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event(Proceedings of Machine Learning Research, Vol. 119). PMLR, 1597–1607.

4. Leveraging Two Types of Global Graph for Sequential Fashion Recommendation

5. DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

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