Review-based Multi-intention Contrastive Learning for Recommendation

Author:

Yang Wei1ORCID,Huo Tengfei2ORCID,Liu Zhiqiang3ORCID,Lu Chi3ORCID

Affiliation:

1. Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China

2. Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China

3. Kuaishou Technology, Beijing, China

Publisher

ACM

Reference38 articles.

1. Yijin Cai , Yilei Wang , Weijin Wang , and Wenting Chen . 2022 . RI-GCN: Reviewaware Interactive Graph Convolutional Network for Review-based Item Recommendation. In 2022 IEEE International Conference on Big Data (Big Data). IEEE, 475--484 . Yijin Cai, Yilei Wang, Weijin Wang, and Wenting Chen. 2022. RI-GCN: Reviewaware Interactive Graph Convolutional Network for Review-based Item Recommendation. In 2022 IEEE International Conference on Big Data (Big Data). IEEE, 475--484.

2. Neural Attentional Rating Regression with Review-level Explanations

3. Intent Contrastive Learning for Sequential Recommendation

4. Review-Based Domain Disentanglement without Duplicate Users or Contexts for Cross-Domain Recommendation

5. Deep Neural Networks for YouTube Recommendations

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1. Graph Diffusive Self-Supervised Learning for Social Recommendation;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

2. Modal-aware Bias Constrained Contrastive Learning for Multimodal Recommendation;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

3. Multimodal Optimal Transport Knowledge Distillation for Cross-domain Recommendation;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21

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