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Sequential recommendation aims to model dynamic user behavior from historical interactions.
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BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension. In Annual Meeting of the Association for Computational Linguistics
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S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization
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SimCSE: Simple Contrastive Learning of Sentence Embeddings. In Empirical Methods in Natural Language Processing (EMNLP)
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Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 2019
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Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects. In Conference on Empirical Methods in Natural Language Processing
Jianmo Ni, Jiacheng Li, and Julian McAuley. 2019 · 2019
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Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel, Noam M. Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2019 · 2019
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BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
Fei Sun, Jun Liu, Jian Wu, Changhua Pei, Xiao Lin, Wenwu Ou, and Peng Jiang. 2019 · 2019
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Feature-level Deeper Self-Attention Network for Sequential Recommendation. In International Joint Conference on Artificial Intelligence
Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Deqing Wang, Guanfeng Liu, and Xiaofang Zhou. 2019 · 2019
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DTCDR: A Framework for Dual-Target Cross-Domain Recommendation
Feng Zhu, Chaochao Chen, Yan Wang, Guanfeng Liu, and Xiaolin Zheng. 2019 · 2019
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Longformer: The Long-Document Transformer
Iz Beltagy, Matthew E. Peters, and Arman Cohan. 2020 · 2020
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Time Interval Aware Self-Attention for Sequential Recommendation
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Tianyu Gao, Xingcheng Yao, and Danqi Chen. 2021 · 2021
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RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation
Chenglin Li, Mingjun Zhao, Huanming Zhang, Chenyun Yu, Lei Cheng, Guoqiang Shu, Beibei Kong, and Di Niu. 2021 · 2021
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UPRec: User-Aware Pre-training for Recommender Systems
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Contrastive Cross-domain Recommendation in Matching
Ruobing Xie, Qi Liu, Liangdong Wang, Shukai Liu, Bo Zhang, and Leyu Lin. 2021 · 2021
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Cross-Domain Recommendation: Challenges, Progress, and Prospects
Feng Zhu, Yan Wang, Chaochao Chen, Jun Zhou, Longfei Li, and Guanfeng Liu. 2021 · 2021
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Intent Contrastive Learning for Sequential Recommendation
Yong-Guang Chen, Zhiwei Liu, Jia Li, Julian McAuley, and Caiming Xiong. 2022 · 2022
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Towards Universal Sequence Representation Learning for Recommender Systems
Yupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, and Ji rong Wen. 2022 · 2022
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UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . Association for Computational Linguistics, Dublin, Ireland, 6159–6169
Jiacheng Li, Jingbo Shang, and Julian McAuley. 2022a · 2022
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Coarse-to-Fine Sparse Sequential Recommendation
Jiacheng Li, Tong Zhao, Jin Li, Jim Chan, Christos Faloutsos, George Karypis, Soo-Min Pantel, and Julian McAuley. 2022b · 2022
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