Imagen de Portada

Taxonomy-based Negative Sampling In Personalized Semantic Search for E-commerce

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Jinadu, Uthman, Er, Siawpeng, Yu, Le, Liang, Chen, Li, Bingxin, Ding, Yi, Velkoski, Aleksandar
Formato:	Preprint
Publicado:	2025
Materias:	Information Retrieval
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

LLM-based Semantic Search for Conversational Queries in E-commerce
por: Siddiqui, Emad, et al.
Publicado: (2026)

Semantic-enhanced Modality-asymmetric Retrieval for Online E-commerce Search
por: Zhou, Zhigong, et al.
Publicado: (2025)

Hi-Gen: Generative Retrieval For Large-Scale Personalized E-commerce Search
por: Wu, Yanjing, et al.
Publicado: (2024)

Towards Context-aware Reasoning-enhanced Generative Searching in E-commerce
por: Liu, Zhiding, et al.
Publicado: (2025)

Mitigating Pooling Bias in E-commerce Search via False Negative Estimation
por: Wang, Xiaochen, et al.
Publicado: (2023)

OneSearch: A Preliminary Exploration of the Unified End-to-End Generative Framework for E-commerce Search
por: Chen, Ben, et al.
Publicado: (2025)

Behavioral Feature Boosting via Substitute Relationships for E-commerce Search
por: Dong, Chaosheng, et al.
Publicado: (2026)

Leveraging Large Language Models to Enhance Personalized Recommendations in E-commerce
por: Xu, Wei, et al.
Publicado: (2024)

Taxonomy-guided Semantic Indexing for Academic Paper Search
por: Kang, SeongKu, et al.
Publicado: (2024)

A Unified Search and Recommendation Framework Based on Multi-Scenario Learning for Ranking in E-commerce
por: Liu, Jinhan, et al.
Publicado: (2024)

Hierarchical Query Classification in E-commerce Search
por: He, Bing, et al.
Publicado: (2024)

Generative Retrieval with Preference Optimization for E-commerce Search
por: Li, Mingming, et al.
Publicado: (2024)

Dynamic Product Image Generation and Recommendation at Scale for Personalized E-commerce
por: Czapp, Ádám Tibor, et al.
Publicado: (2024)

Towards Scalability and Extensibility of Query Reformulation Modeling in E-commerce Search
por: Zhang, Ziqi, et al.
Publicado: (2024)

Efficient Generative Retrieval for E-commerce Search with Semantic Cluster IDs and Expert-Guided RL
por: Zhu, Jianbo, et al.
Publicado: (2026)

Design and Evaluation of Whole-Page Experience Optimization for E-commerce Search
por: Lahiri, Pratik, et al.
Publicado: (2026)

OneSug: The Unified End-to-End Generative Framework for E-commerce Query Suggestion
por: Guo, Xian, et al.
Publicado: (2025)

Synthetic Data Powers Product Retrieval for Long-tail Knowledge-Intensive Queries in E-commerce Search
por: Ling, Gui, et al.
Publicado: (2026)

Adaptive Hardness Negative Sampling for Collaborative Filtering
por: Lai, Riwei, et al.
Publicado: (2024)

Alibaba International E-commerce Product Search Competition DcuRAGONs Team Technical Report
por: Nguyen-Ho, Thang-Long, et al.
Publicado: (2025)

Enhanced Bayesian Personalized Ranking for Robust Hard Negative Sampling in Recommender Systems
por: Shi, Kexin, et al.
Publicado: (2024)

Mine and Refine: Optimizing Graded Relevance in E-commerce Search Retrieval
por: Xi, Jiaqi, et al.
Publicado: (2026)

Learning to Trust: Dynamic Utilization of Retrieval-Augmented Generation for E-commerce Search Relevance
por: Xu, Tingqiao, et al.
Publicado: (2025)

SID-Coord: Coordinating Semantic IDs for ID-based Ranking in Short-Video Search
por: Li, Guowen, et al.
Publicado: (2026)

Generating Negative Samples for Multi-Modal Recommendation
por: Ji, Yanbiao, 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)

E-commerce Webpage Recommendation Scheme Base on Semantic Mining and Neural Networks
por: Zhao, Wenchao, et al.
Publicado: (2024)

Implementation of Recommendation Algorithm based on Recommendation Sessions in E-commerce IT System
por: Malinowski, Michał
Publicado: (2024)

Improving E-commerce Search with Category-Aligned Retrieval
por: Aliev, Rauf
Publicado: (2025)

Validating Search Query Simulations: A Taxonomy of Measures
por: Kruff, Andreas Konstantin, et al.
Publicado: (2026)

OxygenREC: An Instruction-Following Generative Framework for E-commerce Recommendation
por: Hao, Xuegang, et al.
Publicado: (2025)

Smart E-commerce Recommendations with Semantic AI
por: Badouch, M., et al.
Publicado: (2024)

GRIT: Graph-based Recall Improvement for Task-oriented E-commerce Queries
por: Kulkarni, Hrishikesh, et al.
Publicado: (2025)

Intelligent Classification and Personalized Recommendation of E-commerce Products Based on Machine Learning
por: Xu, Kangming, et al.
Publicado: (2024)

A Comprehensive Taxonomy of Negation for NLP and Neural Retrievers
por: Petcu, Roxana, et al.
Publicado: (2025)

COINS: SemantiC Ids Enhanced COLd Item RepresentatioN for Click-through Rate Prediction in E-commerce Search
por: Zhao, Qihang, et al.
Publicado: (2025)

Similarity = Value? Consultation Value Assessment and Alignment for Personalized Search
por: Qin, Weicong, et al.
Publicado: (2025)

Knowledge Distillation for Enhancing Walmart E-commerce Search Relevance Using Large Language Models
por: Shang, Hongwei, et al.
Publicado: (2025)

DS@GT at LongEval: Evaluating Temporal Performance in Web Search Systems and Topics with Two-Stage Retrieval
por: Miyaguchi, Anthony, et al.
Publicado: (2025)

ESANS: Effective and Semantic-Aware Negative Sampling for Large-Scale Retrieval Systems
por: Xing, Haibo, et al.
Publicado: (2025)