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arXiv 2610.30128 · cs.IR · 2026-10-21

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

Zhanshuo Cao, Jiakai Tang, Yuqi Zhou, Sunhao Dai, Jun Xu

Affiliation unverified

In latest · #337 Added on 2026-10-25

One-line takeaway

LoopRec makes sequential recommenders allocate depth per item, after showing most history items converge shallowly while a few need full depth, so fixed-depth computation both wastes compute and hurts accuracy.

LoopRec 让序列推荐模型按物品分配计算深度:发现多数历史物品浅层就收敛、少数要算到底,固定深度既浪费又拖累效果,于是改为逐物品自适应递归。

41HF upvotes
0GitHub stars
0Citations (Semantic Scholar)
39.0Buzz score

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Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-26.

The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.

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