Retrieve-then-Adapt: Retrieval-Augmented Test-Time Adaptation for Sequential Recommendation

ArXi:2604.05379v1 Announce Type: cross The sequential recommendation (SR) task aims to predict the next item based on users' historical interaction sequences. Typically trained on historical data, SR models often struggle to adapt to real-time preference shifts during inference due to challenges posed by distributional divergence and parameterized constraints. Existing approaches to address this issue include test-time