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Author

Tao Zhang

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Preprint Aug 2026

DCEO: Direct Causal Effect Optimization for Long-Term User Value Modeling in E-commerce Search

Industrial e-commerce search systems ultimately aim to optimize the user-level long-term objective, such as n-day cumulative purchases or gross merchandise value (GMV) per user. However, such objectives are defined at the user level, whereas search ranking is based on item-level scores within each request. Existing met...

Jun-Zhao Zhang, Tao Zhang, Liron Yu et al. · 0 citations
Book Open access Jul 2026

STAR: Staged Training with Aligned Reinforcement Learning and Multi-Faceted Distillation for Interpretable E-commerce Relevance

STAR—Staged Training with Aligned Reinforcement Learning and Multi-Faceted Distillation is proposed, a progressive framework that follows a reasoning, ranking, and transfer pipeline to imbue dense models with both high performance and interpretability.

Chenxu Wang, Jianzhi Shao, Chi Zhang et al. · 0 citations
Book Open access Jul 2026

TRACE: Term-level Reasoning And Chain-of-thought Enhanced distillation for E-commerce Multi-modal Relevance Learning

The proposed TRACE (Term-level Reasoning And Chain-of-thought Enhanced distillation), a framework designed for deploying advanced reasoning capabilities at scale, enhances an LLM's multi-modal reasoning by employing Group Relative Policy Optimization (GRPO) guided by a term-level Chain-of-Thought (CoT) reward function,...

Chenxu Wang, Chi Zhang, Fang liang et al. · 0 citations

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