Cover Image

Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Gang, Zhang, Ximing, Lu, Chenji, Zhao, Hui, Wu, Tianshu, Wang, Pengjie, Xu, Jian, Zheng, Bo
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RAIR: A Rule-Aware Benchmark Uniting Challenging Long-Tail and Visual Salience Subset for E-commerce Relevance Assessment
by: Lu, Chenji, et al.
Published: (2025)

LORE: A Large Generative Model for Search Relevance
by: Lu, Chenji, 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)

A Case-Driven Multi-Agent Framework for E-Commerce Search Relevance
by: Commerce Search Relevance Team
Published: (2026)

RL-based Query Rewriting with Distilled LLM for online E-Commerce Systems
by: Nguyen, Duy A., 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)

E-CARE: An Efficient LLM-based Commonsense-Augmented Framework for E-Commerce
by: Zhang, Ge, 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)

JungleGPT: Designing and Optimizing Compound AI Systems for E-Commerce
by: Ruan, Sherry, 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)

KuaiSearch: A Large-Scale E-Commerce Search Dataset for Recall, Ranking, and Relevance
by: Li, Yupeng, et al.
Published: (2026)

Learning to Trust: Dynamic Utilization of Retrieval-Augmented Generation for E-commerce Search Relevance
by: Xu, Tingqiao, 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)

CADRL: Category-aware Dual-agent Reinforcement Learning for Explainable Recommendations over Knowledge Graphs
by: Zheng, Shangfei, et al.
Published: (2024)

Behavior Modeling Space Reconstruction for E-Commerce Search
by: Wang, Yejing, et al.
Published: (2025)

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)

Federated User Behavior Modeling for Privacy-Preserving LLM Recommendation
by: Guo, Lei, et al.
Published: (2026)

Learning Effective Representations for Retrieval Using Self-Distillation with Adaptive Relevance Margins
by: Gienapp, Lukas, et al.
Published: (2024)

LESER: Learning to Expand via Search Engine-feedback Reinforcement in e-Commerce
by: Zhang, Yipeng, et al.
Published: (2025)

LLM-Guided Multi-View Hypergraph Learning for Human-Centric Explainable Recommendation
by: Chu, Zhixuan, et al.
Published: (2024)

LLMGreenRec: LLM-Based Multi-Agent Recommender System for Sustainable E-Commerce
by: Nguyen, Hao N., et al.
Published: (2026)

Research on E-Commerce Long-Tail Product Recommendation Mechanism Based on Large-Scale Language Models
by: Lu, Qingyi, et al.
Published: (2025)

Robust Interaction-Based Relevance Modeling for Online e-Commerce Search
by: Chen, Ben, et al.
Published: (2024)

Modeling Long-term User Behaviors with Diffusion-driven Multi-interest Network for CTR Prediction
by: Lai, Weijiang, et al.
Published: (2025)

OneMall: One Architecture, More Scenarios -- End-to-End Generative Recommender Family at Kuaishou E-Commerce
by: Zhang, Kun, et al.
Published: (2026)

E-GEO: A Testbed for Generative Engine Optimization in E-Commerce
by: Bagga, Puneet S., et al.
Published: (2025)

STAIR: Manipulating Collaborative and Multimodal Information for E-Commerce Recommendation
by: Xu, Cong, et al.
Published: (2024)

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion
by: Yang, Haowei, et al.
Published: (2025)

Beyond Text: Aligning Vision and Language for Multimodal E-Commerce Retrieval
by: Zhang, Qujiaheng, et al.
Published: (2026)

Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels
by: Zhuang, Honglei, et al.
Published: (2023)

PairDistill: Pairwise Relevance Distillation for Dense Retrieval
by: Huang, Chao-Wei, et al.
Published: (2024)

MIM: Multi-modal Content Interest Modeling Paradigm for User Behavior Modeling
by: Yan, Bencheng, et al.
Published: (2025)

Text-Guided Visual Representation Learning for Robust Multimodal E-Commerce Recommendation
by: Guo, Yufei, et al.
Published: (2026)

GSID: Generative Semantic Indexing for E-Commerce Product Understanding
by: Yang, Haiyang, et al.
Published: (2025)

LLM-Assisted Pseudo-Relevance Feedback
by: Otero, David, et al.
Published: (2026)

Pyramid Mixer: Multi-dimensional Multi-period Interest Modeling for Sequential Recommendation
by: Gong, Zhen, et al.
Published: (2025)

Learnable Sequence Augmenter for Triplet Contrastive Learning in Sequential Recommendation
by: Wang, Wei, et al.
Published: (2025)

Beyond Content Relevance: Evaluating Instruction Following in Retrieval Models
by: Zhou, Jianqun, et al.
Published: (2024)

Towards Robustness Analysis of E-Commerce Ranking System
by: Wang, Ningfei, et al.
Published: (2024)

A Survey on E-Commerce Learning to Rank
by: Kabir, Md. Ahsanul, et al.
Published: (2024)