Copertina

AIGQ: An End-to-End Hybrid Generative Architecture for E-commerce Query Recommendation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Xu, Jingcao, Zou, Jianyun, Yang, Renkai, Geng, Zili, Liu, Qiang, Tang, Haihong
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Information Retrieval Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

UniRank: End-to-End Domain-Specific Reranking of Hybrid Text-Image Candidates
di: Yang, Yupei, et al.
Pubblicazione: (2026)

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

End-to-end Learnable Clustering for Intent Learning in Recommendation
di: Liu, Yue, et al.
Pubblicazione: (2024)

AgenticRec: End-to-End Tool-Integrated Policy Optimization for Ranking-Oriented Recommender Agents
di: Li, Tianyi, et al.
Pubblicazione: (2026)

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

TBGRecall: A Generative Retrieval Model for E-commerce Recommendation Scenarios
di: Liang, Zida, et al.
Pubblicazione: (2025)

End-to-End Graph-Sequential Representation Learning for Accurate Recommendations
di: Baikalov, Vladimir, et al.
Pubblicazione: (2024)

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

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

Survey for Landing Generative AI in Social and E-commerce Recsys -- the Industry Perspectives
di: Xu, Da, et al.
Pubblicazione: (2024)

Toward Autonomous SOC Operations: End-to-End LLM Framework for Threat Detection, Query Generation, and Resolution in Security Operations
di: Saju, Md Hasan, et al.
Pubblicazione: (2026)

Distribution-Aware End-to-End Embedding for Streaming Numerical Features in Click-Through Rate Prediction
di: Liu, Jiahao, et al.
Pubblicazione: (2026)

TaoSR1: The Thinking Model for E-commerce Relevance Search
di: Dong, Chenhe, et al.
Pubblicazione: (2025)

LREF: A Novel LLM-based Relevance Framework for E-commerce
di: Tang, Tian, et al.
Pubblicazione: (2025)

TaoSR-AGRL: Adaptive Guided Reinforcement Learning Framework for E-commerce Search Relevance
di: Yang, Jianhui, et al.
Pubblicazione: (2025)

ResRank: Unifying Retrieval and Listwise Reranking via End-to-End Joint Training with Residual Passage Compression
di: Ke, Xiaojie, et al.
Pubblicazione: (2026)

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

Enriching User Shopping History: Empowering E-commerce with a Hierarchical Recommendation System
di: Islek, Irem, et al.
Pubblicazione: (2024)

AgentSelect: Benchmark for Narrative Query-to-Agent Recommendation
di: Shi, Yunxiao, et al.
Pubblicazione: (2026)

Transfer Learning for E-commerce Query Product Type Prediction
di: Tigunova, Anna, et al.
Pubblicazione: (2024)

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

You Are What You Bought: Generating Customer Personas for E-commerce Applications
di: Shi, Yimin, et al.
Pubblicazione: (2025)

Elaborative Subtopic Query Reformulation for Broad and Indirect Queries in Travel Destination Recommendation
di: Wen, Qianfeng, et al.
Pubblicazione: (2024)

Enhancing Speech-to-Speech Dialogue Modeling with End-to-End Retrieval-Augmented Generation
di: Feng, Pengchao, et al.
Pubblicazione: (2025)

A Preference-oriented Diversity Model Based on Mutual-information in Re-ranking for E-commerce Search
di: Wang, Huimu, et al.
Pubblicazione: (2024)

Complementary Recommendation in E-commerce: Definition, Approaches, and Future Directions
di: Li, Linyue, et al.
Pubblicazione: (2024)

Style4Rec: Enhancing Transformer-based E-commerce Recommendation Systems with Style and Shopping Cart Information
di: Ugurlu, Berke, et al.
Pubblicazione: (2025)

A Semi-supervised Scalable Unified Framework for E-commerce Query Classification
di: Yuan, Chunyuan, et al.
Pubblicazione: (2025)

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

Self-Retrieval: End-to-End Information Retrieval with One Large Language Model
di: Tang, Qiaoyu, et al.
Pubblicazione: (2024)

SHERLOCK: Towards Dynamic Knowledge Adaptation in LLM-enhanced E-commerce Risk Management
di: Lu, Nan, et al.
Pubblicazione: (2025)

Federated Recommendation via Hybrid Retrieval Augmented Generation
di: Zeng, Huimin, et al.
Pubblicazione: (2024)

HyTRec: A Hybrid Temporal-Aware Attention Architecture for Long Behavior Sequential Recommendation
di: Xin, Lei, et al.
Pubblicazione: (2026)

A Semi-supervised Multi-channel Graph Convolutional Network for Query Classification in E-commerce
di: Yuan, Chunyuan, et al.
Pubblicazione: (2024)

GenRec: A Preference-Oriented Generative Framework for Large-Scale Recommendation
di: Zou, Yanyan, et al.
Pubblicazione: (2026)

A Novel Behavior-Based Recommendation System for E-commerce
di: Nozari, Reza Barzegar, et al.
Pubblicazione: (2024)

Enhancing and Scaling Search Query Datasets for Recommendation Systems
di: Rodrigues, Aaron, et al.
Pubblicazione: (2025)

SynthTRIPs: A Knowledge-Grounded Framework for Benchmark Query Generation for Personalized Tourism Recommenders
di: Banerjee, Ashmi, et al.
Pubblicazione: (2025)

MuonRec: Shifting the Optimizer Paradigm Beyond Adam in Scalable Generative Recommendation
di: Shan, Rong, et al.
Pubblicazione: (2026)

OfficeQA Pro: An Enterprise Benchmark for End-to-End Grounded Reasoning
di: Opsahl-Ong, Krista, et al.
Pubblicazione: (2026)