TaoSR-AGRL: Adaptive Guided Reinforcement Learning Framework for E-commerce Search Relevance
Fuente:
arXiv
Guardado en:
| Autores principales: | Yang, Jianhui, Jin, Yiming, Jiao, Pengkun, Dong, Chenhe, Huang, Zerui, Yao, Shaowei, Zhou, Xiaojiang, Ou, Dan, Tang, Haihong |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
TaoSR1: The Thinking Model for E-commerce Relevance Search
por: Dong, Chenhe, et al.
Publicado: (2025)
por: Dong, Chenhe, et al.
Publicado: (2025)
SHE: Stepwise Hybrid Examination Reinforcement Learning Framework for E-commerce Search Relevance
por: Jiao, Pengkun, et al.
Publicado: (2025)
por: Jiao, Pengkun, et al.
Publicado: (2025)
Learning to Trust: Dynamic Utilization of Retrieval-Augmented Generation for E-commerce Search Relevance
por: Xu, Tingqiao, et al.
Publicado: (2025)
por: Xu, Tingqiao, et al.
Publicado: (2025)
Joint Model Parameter Scaling and Universal-Domain Data Integration for E-commerce Search Ranking
por: Yu, Liren, et al.
Publicado: (2026)
por: Yu, Liren, et al.
Publicado: (2026)
Synthetic Data Powers Product Retrieval for Long-tail Knowledge-Intensive Queries in E-commerce Search
por: Ling, Gui, et al.
Publicado: (2026)
por: Ling, Gui, et al.
Publicado: (2026)
Retrieval-GRPO: A Multi-Objective Reinforcement Learning Framework for Dense Retrieval in Taobao Search
por: Liu, Xingxian, et al.
Publicado: (2025)
por: Liu, Xingxian, et al.
Publicado: (2025)
Deep Bag-of-Words Model: An Efficient and Interpretable Relevance Architecture for Chinese E-Commerce
por: Lin, Zhe, et al.
Publicado: (2024)
por: Lin, Zhe, et al.
Publicado: (2024)
Mine and Refine: Optimizing Graded Relevance in E-commerce Search Retrieval
por: Xi, Jiaqi, et al.
Publicado: (2026)
por: Xi, Jiaqi, et al.
Publicado: (2026)
Generative Retrieval with Preference Optimization for E-commerce Search
por: Li, Mingming, et al.
Publicado: (2024)
por: Li, Mingming, et al.
Publicado: (2024)
KARMA: Knowledge-Action Regularized Multimodal Alignment for Personalized Search at Taobao
por: Sun, Zhi, et al.
Publicado: (2026)
por: Sun, Zhi, et al.
Publicado: (2026)
AIGQ: An End-to-End Hybrid Generative Architecture for E-commerce Query Recommendation
por: Xu, Jingcao, et al.
Publicado: (2026)
por: Xu, Jingcao, et al.
Publicado: (2026)
LREF: A Novel LLM-based Relevance Framework for E-commerce
por: Tang, Tian, et al.
Publicado: (2025)
por: Tang, Tian, et al.
Publicado: (2025)
Towards Context-aware Reasoning-enhanced Generative Searching in E-commerce
por: Liu, Zhiding, et al.
Publicado: (2025)
por: Liu, Zhiding, et al.
Publicado: (2025)
IntSR: An Integrated Generative Framework for Search and Recommendation
por: Yan, Huimin, et al.
Publicado: (2025)
por: Yan, Huimin, et al.
Publicado: (2025)
Knowledge Distillation for Enhancing Walmart E-commerce Search Relevance Using Large Language Models
por: Shang, Hongwei, et al.
Publicado: (2025)
por: Shang, Hongwei, et al.
Publicado: (2025)
Semantic-enhanced Modality-asymmetric Retrieval for Online E-commerce Search
por: Zhou, Zhigong, et al.
Publicado: (2025)
por: Zhou, Zhigong, et al.
Publicado: (2025)
KuaiSearch: A Large-Scale E-Commerce Search Dataset for Recall, Ranking, and Relevance
por: Li, Yupeng, et al.
Publicado: (2026)
por: Li, Yupeng, et al.
Publicado: (2026)
Behavioral Feature Boosting via Substitute Relationships for E-commerce Search
por: Dong, Chaosheng, et al.
Publicado: (2026)
por: Dong, Chaosheng, et al.
Publicado: (2026)
Beyond Relevance: Improving User Engagement by Personalization for Short-Video Search
por: Bao, Wentian, et al.
Publicado: (2024)
por: Bao, Wentian, et al.
Publicado: (2024)
Optimizing Generative Ranking Relevance via Reinforcement Learning in Xiaohongshu Search
por: Zeng, Ziyang, et al.
Publicado: (2025)
por: Zeng, Ziyang, et al.
Publicado: (2025)
Relevance Matters: A Multi-Task and Multi-Stage Large Language Model Approach for E-commerce Query Rewriting
por: Dai, Aijun, et al.
Publicado: (2026)
por: Dai, Aijun, et al.
Publicado: (2026)
Graph-GRPO: Dependency-Aware Credit Assignment for Generative E-commerce Search Relevance
por: Che, Jiarui, et al.
Publicado: (2026)
por: Che, Jiarui, et al.
Publicado: (2026)
OneSearch: A Preliminary Exploration of the Unified End-to-End Generative Framework for E-commerce Search
por: Chen, Ben, et al.
Publicado: (2025)
por: Chen, Ben, et al.
Publicado: (2025)
RAD-DPO: Robust Adaptive Denoising Direct Preference Optimization for Generative Retrieval in E-commerce
por: Chen, Zhiguo, et al.
Publicado: (2026)
por: Chen, Zhiguo, et al.
Publicado: (2026)
Middleman Bias in Advertising: Aligning Relevance of Keyphrase Recommendations with Search
por: Dey, Soumik, et al.
Publicado: (2025)
por: Dey, Soumik, et al.
Publicado: (2025)
Automated Query-Product Relevance Labeling using Large Language Models for E-commerce Search
por: Sachdev, Jayant, et al.
Publicado: (2025)
por: Sachdev, Jayant, et al.
Publicado: (2025)
Efficient Generative Retrieval for E-commerce Search with Semantic Cluster IDs and Expert-Guided RL
por: Zhu, Jianbo, et al.
Publicado: (2026)
por: Zhu, Jianbo, et al.
Publicado: (2026)
LLM-based Semantic Search for Conversational Queries in E-commerce
por: Siddiqui, Emad, et al.
Publicado: (2026)
por: Siddiqui, Emad, et al.
Publicado: (2026)
Optimizing E-commerce Search: Toward a Generalizable and Rank-Consistent Pre-Ranking Model
por: Xu, Enqiang, et al.
Publicado: (2024)
por: Xu, Enqiang, et al.
Publicado: (2024)
K-CARE: Knowledge-driven Symmetrical Contextual Anchoring and Analogical Prototype Reasoning for E-commerce Relevance
por: Yifei, Chen, et al.
Publicado: (2026)
por: Yifei, Chen, et al.
Publicado: (2026)
ADORE: Autonomous Domain-Oriented Relevance Engine for E-commerce
por: Fang, Zheng, et al.
Publicado: (2025)
por: Fang, Zheng, et al.
Publicado: (2025)
Hierarchical Query Classification in E-commerce Search
por: He, Bing, et al.
Publicado: (2024)
por: He, Bing, et al.
Publicado: (2024)
Towards Scalability and Extensibility of Query Reformulation Modeling in E-commerce Search
por: Zhang, Ziqi, et al.
Publicado: (2024)
por: Zhang, Ziqi, et al.
Publicado: (2024)
Taxonomy-based Negative Sampling In Personalized Semantic Search for E-commerce
por: Jinadu, Uthman, et al.
Publicado: (2025)
por: Jinadu, Uthman, et al.
Publicado: (2025)
TIGER-FG: Text-Guided Implicit Fine-Grained Grounding for E-commerce Retrieval
por: Sun, Xinyu, et al.
Publicado: (2026)
por: Sun, Xinyu, et al.
Publicado: (2026)
Hi-Gen: Generative Retrieval For Large-Scale Personalized E-commerce Search
por: Wu, Yanjing, et al.
Publicado: (2024)
por: Wu, Yanjing, et al.
Publicado: (2024)
Migrating a Job Search Relevance Function
por: Mountain, Bennett, et al.
Publicado: (2025)
por: Mountain, Bennett, et al.
Publicado: (2025)
Improving E-commerce Search with Category-Aligned Retrieval
por: Aliev, Rauf
Publicado: (2025)
por: Aliev, Rauf
Publicado: (2025)
SHERLOCK: Towards Dynamic Knowledge Adaptation in LLM-enhanced E-commerce Risk Management
por: Lu, Nan, et al.
Publicado: (2025)
por: Lu, Nan, et al.
Publicado: (2025)
CSRM-LLM: Embracing Multilingual LLMs for Cold-Start Relevance Matching in Emerging E-commerce Markets
por: Wang, Yujing, et al.
Publicado: (2025)
por: Wang, Yujing, et al.
Publicado: (2025)
Ejemplares similares
-
TaoSR1: The Thinking Model for E-commerce Relevance Search
por: Dong, Chenhe, et al.
Publicado: (2025) -
SHE: Stepwise Hybrid Examination Reinforcement Learning Framework for E-commerce Search Relevance
por: Jiao, Pengkun, et al.
Publicado: (2025) -
Learning to Trust: Dynamic Utilization of Retrieval-Augmented Generation for E-commerce Search Relevance
por: Xu, Tingqiao, et al.
Publicado: (2025) -
Joint Model Parameter Scaling and Universal-Domain Data Integration for E-commerce Search Ranking
por: Yu, Liren, et al.
Publicado: (2026) -
Synthetic Data Powers Product Retrieval for Long-tail Knowledge-Intensive Queries in E-commerce Search
por: Ling, Gui, et al.
Publicado: (2026)