MAE4Rec

Author:

Zhao Kesen1,Zhao Xiangyu1,Zhang Zijian2,Li Muyang3

Affiliation:

1. City University of Hong Kong, Hong Kong, Hong Kong

2. City University of Hong Kong, Jilin University, Changchun, China

3. University of Sydney, Sydney, Australia

Funder

the HKIDS Early Career Research Grant

CCF-Tencent Open Fund

APRC - CityU New Research Initiatives

SIRG - CityU Strategic Interdisciplinary Research Grant

Publisher

ACM

Reference54 articles.

1. Ricardo Baeza-Yates Berthier Ribeiro-Neto etal 1999. Modern information retrieval. Vol. 463. ACM press New York. Ricardo Baeza-Yates Berthier Ribeiro-Neto et al. 1999. Modern information retrieval. Vol. 463. ACM press New York.

2. Hangbo Bao , Li Dong , Songhao Piao , and Furu Wei . 2021 . BEiT: BERT Pre-Training of Image Transformers. In International Conference on Learning Representations. Hangbo Bao, Li Dong, Songhao Piao, and Furu Wei. 2021. BEiT: BERT Pre-Training of Image Transformers. In International Conference on Learning Representations.

3. Iz Beltagy , Matthew E Peters , and Arman Cohan . 2020 . Longformer: The longdocument transformer. arXiv preprint arXiv:2004.05150 (2020). Iz Beltagy, Matthew E Peters, and Arman Cohan. 2020. Longformer: The longdocument transformer. arXiv preprint arXiv:2004.05150 (2020).

4. Robin Burke . 2002. Hybrid recommender systems: Survey and experiments. User modeling and user-adapted interaction 12, 4 ( 2002 ), 331--370. Robin Burke. 2002. Hybrid recommender systems: Survey and experiments. User modeling and user-adapted interaction 12, 4 (2002), 331--370.

5. Rewon Child , Scott Gray , Alec Radford , and Ilya Sutskever . 2019. Generating long sequences with sparse transformers. arXiv preprint arXiv:1904.10509 ( 2019 ). Rewon Child, Scott Gray, Alec Radford, and Ilya Sutskever. 2019. Generating long sequences with sparse transformers. arXiv preprint arXiv:1904.10509 (2019).

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5. LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems;Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval;2023-07-18

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