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Sequential recommendation tasks, which aim to predict the next item a user will interact with, typically rely on models trained solely on historical data.
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Recbole: Towards a unified, comprehensive and efficient framework for recommendation algorithms. In proceedings of the 30th acm international conference on information & knowledge management . 4653–4664
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Mamba4rec: Towards efficient sequential recommendation with selective state space models
Chengkai Liu, Jianghao Lin, Jianling Wang, Hanzhou Liu, and James Caverlee. 2024 · 2024
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Roformer: Enhanced transformer with rotary position embedding
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Learning to (learn at test time): Rnns with expressive hidden states
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Albert Gu, Karan Goel, and Christopher Ré. 2021 · 2021
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Yu Sun, Xinhao Li, Karan Dalal, Jiarui Xu, Arjun Vikram, Genghan Zhang, Yann Dubois, Xinlei Chen, Xiaolong Wang, Sanmi Koyejo, et al · 2024
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