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Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models
State space models offer an efficient solution for sequential recommendation, addressing the effectiveness-efficiency dilemma.
Mamba4Rec: Efficient Sequential Recommendation with Selective State Space Models
The author introduces Mamba4Rec, leveraging selective state space models to address the effectiveness-efficiency dilemma in sequential recommendation. By incorporating a series of techniques, Mamba4Rec outperforms RNN- and attention-based baselines in both effectiveness and efficiency.
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