Global-Local GraphFormer: Towards Better Understanding of User Intentions in Sequential Recommendation

Author:

Chen Hong1ORCID,Huang Bin1ORCID,Wang Xin1ORCID,Zhou Yuwei1ORCID,Zhu Wenwu1ORCID

Affiliation:

1. Tsinghua University, China

Funder

Beijing National Research Center for Information Science and Technology under Grant

National Natural Science Foundation of China

the National Key Research and Development Program of China

Publisher

ACM

Reference31 articles.

1. Hong Chen , Yudong Chen , Xin Wang , Ruobing Xie , Rui Wang , Feng Xia , and Wenwu Zhu . 2021 . Curriculum Disentangled Recommendation with Noisy Multi-feedback. In Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021 , NeurIPS 2021, December 6-14, 2021, virtual. 26924–26936. Hong Chen, Yudong Chen, Xin Wang, Ruobing Xie, Rui Wang, Feng Xia, and Wenwu Zhu. 2021. Curriculum Disentangled Recommendation with Noisy Multi-feedback. In Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. 26924–26936.

2. Lei Chen , Le Wu , Richang Hong , Kun Zhang , and Meng Wang . 2020 . Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach. In The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020. AAAI Press, 27–34. Lei Chen, Le Wu, Richang Hong, Kun Zhang, and Meng Wang. 2020. Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach. In The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020. AAAI Press, 27–34.

3. Item-based top- N recommendation algorithms

4. The MovieLens Datasets;Harper Maxwell;History and Context. ACM Trans. Interact. Intell. Syst.,2016

5. Ups and Downs

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