bias mitigation 1click-through rate prediction 1cross-attention 1e-commerce search 1feature tokenization 1post-purchase redundancy 1satiation-aware mechanisms 1self-supervised learning 1sequential recommendation 1transformer ranking models 1user intent modeling 1
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cs.IR2026
TMallGS: Scaling Unified Feature and Sequence Modeling for Generative E-commerce Search
Zhentao Song, Yufeng Gao, Xing Fang +5
The paper introduces TMallGS, a transformer-based ranking architecture for e‑commerce search that combines specialized tokenization, field‑adaptive transformers, and bias‑aware tra…
cs.IR2026
Learning to Forget: Satiation-Aware Long-Sequence Transducers for Mitigating Post-Purchase Redundancy
Yipin Dai, Ruocong Tang, Xing Fang +4
The paper introduces a satiation-aware framework for sequential recommendation that detects when a purchase satisfies a user’s intent and temporarily suppresses related items, then…