Think Harder Where It Matters: Item-Level Adaptive Recursion for Sequential Recommendation.

arXiv:2610.30128v1 Announce Type: cross Abstract: Existing sequential recommenders usually allocate a fixed computational budget to every item in a user's interaction history, regardless of the item's contribution to the final prediction. We challenge this de