Saved in:
| Main Author: | Commerce Search Relevance Team |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.05991 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
KuaiSearch: A Large-Scale E-Commerce Search Dataset for Recall, Ranking, and Relevance
by: Li, Yupeng, et al.
Published: (2026)
by: Li, Yupeng, et al.
Published: (2026)
A Data-Centric Approach to Multilingual E-Commerce Product Search: Case Study on Query-Category and Query-Item Relevance
by: Yin, Yabo, et al.
Published: (2025)
by: Yin, Yabo, et al.
Published: (2025)
Joint Optimization of Relevance and Engagement in Multi-Task Ranking for E-Commerce with Efficient LLM Supervision
by: Chen, Luming, et al.
Published: (2026)
by: Chen, Luming, et al.
Published: (2026)
Robust Interaction-Based Relevance Modeling for Online e-Commerce Search
by: Chen, Ben, et al.
Published: (2024)
by: Chen, Ben, et al.
Published: (2024)
Towards Sustainable Growth: A Multi-Value-Aware Retrieval Framework for E-Commerce Search
by: Wang, Yifan, et al.
Published: (2026)
by: Wang, Yifan, et al.
Published: (2026)
Behavior Modeling Space Reconstruction for E-Commerce Search
by: Wang, Yejing, et al.
Published: (2025)
by: Wang, Yejing, et al.
Published: (2025)
Unified Learning-to-Rank for Multi-Channel Retrieval in Large-Scale E-Commerce Search
by: Gaydhani, Aditya, et al.
Published: (2026)
by: Gaydhani, Aditya, et al.
Published: (2026)
Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning
by: Zhao, Gang, et al.
Published: (2024)
by: Zhao, Gang, et al.
Published: (2024)
MODRL-TA:A Multi-Objective Deep Reinforcement Learning Framework for Traffic Allocation in E-Commerce Search
by: Cheng, Peng, et al.
Published: (2024)
by: Cheng, Peng, et al.
Published: (2024)
Semantic Retrieval for Product Search in E-Commerce
by: Kothari, Nikhil, et al.
Published: (2026)
by: Kothari, Nikhil, et al.
Published: (2026)
PRISM: Refracting the Entangled User Behavior Space for E-Commerce Search
by: Zhang, Haoqian, et al.
Published: (2026)
by: Zhang, Haoqian, et al.
Published: (2026)
GenFacet: End-to-End Generative Faceted Search via Multi-Task Preference Alignment in E-Commerce
by: Zhai, Zhouwei, et al.
Published: (2026)
by: Zhai, Zhouwei, et al.
Published: (2026)
UniECS: Unified Multimodal E-Commerce Search Framework with Gated Cross-modal Fusion
by: Liang, Zihan, et al.
Published: (2025)
by: Liang, Zihan, et al.
Published: (2025)
E-CARE: An Efficient LLM-based Commonsense-Augmented Framework for E-Commerce
by: Zhang, Ge, et al.
Published: (2025)
by: Zhang, Ge, et al.
Published: (2025)
LLMGreenRec: LLM-Based Multi-Agent Recommender System for Sustainable E-Commerce
by: Nguyen, Hao N., et al.
Published: (2026)
by: Nguyen, Hao N., et al.
Published: (2026)
An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce
by: Choudhary, Nurendra, et al.
Published: (2024)
by: Choudhary, Nurendra, et al.
Published: (2024)
Search Intenion Network for Personalized Query Auto-Completion in E-Commerce
by: Bao, Wei, et al.
Published: (2024)
by: Bao, Wei, et al.
Published: (2024)
Identifying High Consideration E-Commerce Search Queries
by: Chen, Zhiyu, et al.
Published: (2024)
by: Chen, Zhiyu, et al.
Published: (2024)
Query Brand Entity Linking in E-Commerce Search
by: Liu, Dong, et al.
Published: (2025)
by: Liu, Dong, et al.
Published: (2025)
TRUE: A Reproducible Framework for LLM-Driven Relevance Judgment in Information Retrieval
by: Dewan, Mouly, et al.
Published: (2025)
by: Dewan, Mouly, et al.
Published: (2025)
Deep Bag-of-Words Model: An Efficient and Interpretable Relevance Architecture for Chinese E-Commerce
by: Lin, Zhe, et al.
Published: (2024)
by: Lin, Zhe, et al.
Published: (2024)
E-GEO: A Testbed for Generative Engine Optimization in E-Commerce
by: Bagga, Puneet S., et al.
Published: (2025)
by: Bagga, Puneet S., et al.
Published: (2025)
LESER: Learning to Expand via Search Engine-feedback Reinforcement in e-Commerce
by: Zhang, Yipeng, et al.
Published: (2025)
by: Zhang, Yipeng, et al.
Published: (2025)
Migrating a Job Search Relevance Function
by: Mountain, Bennett, et al.
Published: (2025)
by: Mountain, Bennett, et al.
Published: (2025)
Learning to Trust: Dynamic Utilization of Retrieval-Augmented Generation for E-commerce Search Relevance
by: Xu, Tingqiao, et al.
Published: (2025)
by: Xu, Tingqiao, et al.
Published: (2025)
Towards Robustness Analysis of E-Commerce Ranking System
by: Wang, Ningfei, et al.
Published: (2024)
by: Wang, Ningfei, et al.
Published: (2024)
STAIR: Manipulating Collaborative and Multimodal Information for E-Commerce Recommendation
by: Xu, Cong, et al.
Published: (2024)
by: Xu, Cong, et al.
Published: (2024)
HCMRM: A High-Consistency Multimodal Relevance Model for Search Ads
by: Gan, Guobing, et al.
Published: (2025)
by: Gan, Guobing, et al.
Published: (2025)
From Reasoning LLMs to BERT: A Two-Stage Distillation Framework for Search Relevance
by: Xia, Runze, et al.
Published: (2025)
by: Xia, Runze, et al.
Published: (2025)
PRECTR: A Synergistic Framework for Integrating Personalized Search Relevance Matching and CTR Prediction
by: Chen, Rong, et al.
Published: (2025)
by: Chen, Rong, et al.
Published: (2025)
Click A, Buy B: Rethinking Conversion Attribution in E- Commerce Recommendations
by: Zeng, Xiangyu, et al.
Published: (2025)
by: Zeng, Xiangyu, et al.
Published: (2025)
Mine and Refine: Optimizing Graded Relevance in E-commerce Search Retrieval
by: Xi, Jiaqi, et al.
Published: (2026)
by: Xi, Jiaqi, et al.
Published: (2026)
Middleman Bias in Advertising: Aligning Relevance of Keyphrase Recommendations with Search
by: Dey, Soumik, et al.
Published: (2025)
by: Dey, Soumik, et al.
Published: (2025)
Validating LLM-Generated Relevance Labels for Educational Resource Search
by: Sebastian, Ratan J., et al.
Published: (2025)
by: Sebastian, Ratan J., et al.
Published: (2025)
Beyond Text: Aligning Vision and Language for Multimodal E-Commerce Retrieval
by: Zhang, Qujiaheng, et al.
Published: (2026)
by: Zhang, Qujiaheng, et al.
Published: (2026)
A Unified Search and Recommendation Framework Based on Multi-Scenario Learning for Ranking in E-commerce
by: Liu, Jinhan, et al.
Published: (2024)
by: Liu, Jinhan, et al.
Published: (2024)
JungleGPT: Designing and Optimizing Compound AI Systems for E-Commerce
by: Ruan, Sherry, et al.
Published: (2024)
by: Ruan, Sherry, et al.
Published: (2024)
AR-Med: Automated Relevance Enhancement in Medical Search via LLM-Driven Information Augmentation
by: Wang, Chuyue, et al.
Published: (2025)
by: Wang, Chuyue, et al.
Published: (2025)
Thinking Broad, Acting Fast: Latent Reasoning Distillation from Multi-Perspective Chain-of-Thought for E-Commerce Relevance
by: Qiu, Baopu, et al.
Published: (2026)
by: Qiu, Baopu, et al.
Published: (2026)
TaoSR-AGRL: Adaptive Guided Reinforcement Learning Framework for E-commerce Search Relevance
by: Yang, Jianhui, et al.
Published: (2025)
by: Yang, Jianhui, et al.
Published: (2025)
Similar Items
-
KuaiSearch: A Large-Scale E-Commerce Search Dataset for Recall, Ranking, and Relevance
by: Li, Yupeng, et al.
Published: (2026) -
A Data-Centric Approach to Multilingual E-Commerce Product Search: Case Study on Query-Category and Query-Item Relevance
by: Yin, Yabo, et al.
Published: (2025) -
Joint Optimization of Relevance and Engagement in Multi-Task Ranking for E-Commerce with Efficient LLM Supervision
by: Chen, Luming, et al.
Published: (2026) -
Robust Interaction-Based Relevance Modeling for Online e-Commerce Search
by: Chen, Ben, et al.
Published: (2024) -
Towards Sustainable Growth: A Multi-Value-Aware Retrieval Framework for E-Commerce Search
by: Wang, Yifan, et al.
Published: (2026)