Copertina

E-commerce Webpage Recommendation Scheme Base on Semantic Mining and Neural Networks

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhao, Wenchao, Liu, Xiaoyi, Xu, Ruilin, Xiao, Lingxi, Li, Muqing
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Information Retrieval Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

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

AIGQ: An End-to-End Hybrid Generative Architecture for E-commerce Query Recommendation
di: Xu, Jingcao, et al.
Pubblicazione: (2026)

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

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

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

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

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

When Box Meets Graph Neural Network in Tag-aware Recommendation
di: Lin, Fake, et al.
Pubblicazione: (2024)

A Recommendation Model Utilizing Separation Embedding and Self-Attention for Feature Mining
di: Liu, Wenyi, et al.
Pubblicazione: (2024)

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

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

REVISION:Reflective Intent Mining and Online Reasoning Auxiliary for E-commerce Visual Search System Optimization
di: Tang, Yiwen, et al.
Pubblicazione: (2025)

LLM-I2I: Boost Your Small Item2Item Recommendation Model with Large Language Model
di: Feng, Yinfu, et al.
Pubblicazione: (2025)

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

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

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

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

Advancing Large Language Models for Spatiotemporal and Semantic Association Mining of Similar Environmental Events
di: Tian, Yuanyuan, et al.
Pubblicazione: (2024)

SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation
di: Liu, Yuxi, et al.
Pubblicazione: (2024)

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

Research on Personalized Financial Product Recommendation by Integrating Large Language Models and Graph Neural Networks
di: Zhao, Yushang, et al.
Pubblicazione: (2025)

Reason-to-Recommend: Using Interaction-of-Thought Reasoning to Enhance LLM Recommendation
di: Zhao, Keyu, et al.
Pubblicazione: (2025)

Empowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs
di: Wang, Yuhao, et al.
Pubblicazione: (2025)

Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation
di: Cui, Ziqiang, et al.
Pubblicazione: (2025)

The Best of the Two Worlds: Harmonizing Semantic and Hash IDs for Sequential Recommendation
di: Liu, Ziwei, et al.
Pubblicazione: (2025)

Hierarchical Structured Neural Network: Efficient Retrieval Scaling for Large Scale Recommendation
di: Rangadurai, Kaushik, et al.
Pubblicazione: (2024)

Eco-Aware Graph Neural Networks for Sustainable Recommendations
di: Purificato, Antonio, et al.
Pubblicazione: (2024)

Benchmarking Deep Neural Networks for Modern Recommendation Systems
di: Bahi, Abderaouf, et al.
Pubblicazione: (2025)

HypeMed: Enhancing Medication Recommendations with Hypergraph-Based Patient Relationships
di: Zhang, Xiangxu, et al.
Pubblicazione: (2026)

Enhancing ID-based Recommendation with Large Language Models
di: Chen, Lei, et al.
Pubblicazione: (2024)

Combining Embedding-Based and Semantic-Based Models for Post-hoc Explanations in Recommender Systems
di: Le, Ngoc Luyen, et al.
Pubblicazione: (2024)

Multi-Aggregator Time-Warping Heterogeneous Graph Neural Network for Personalized Micro-Video Recommendation
di: Han, Jinkun, et al.
Pubblicazione: (2025)

Semantic-Enhanced Relational Metric Learning for Recommender Systems
di: Li, Mingming, et al.
Pubblicazione: (2024)

HiD-VAE: Interpretable Generative Recommendation via Hierarchical and Disentangled Semantic IDs
di: Fang, Dengzhao, et al.
Pubblicazione: (2025)

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks
di: Wang, Yejing, et al.
Pubblicazione: (2025)

Enhancing Embedding Representation Stability in Recommendation Systems with Semantic ID
di: Zheng, Carolina, et al.
Pubblicazione: (2025)

Multimodal Recommender Systems: A Survey
di: Liu, Qidong, et al.
Pubblicazione: (2023)

LLM-RecG: A Semantic Bias-Aware Framework for Zero-Shot Sequential Recommendation
di: Li, Yunzhe, et al.
Pubblicazione: (2025)

E-MMKGR: A Unified Multimodal Knowledge Graph Framework for E-commerce Applications
di: Kang, Jiwoo, et al.
Pubblicazione: (2026)