Imagen de Portada

Smart E-commerce Recommendations with Semantic AI

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Badouch, M., Boutaounte, M.
Formato:	Preprint
Publicado:	2024
Materias:	Information Retrieval Artificial Intelligence Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

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

Semantic Search and Recommendation Algorithm
por: Duhan, Aryan, et al.
Publicado: (2024)

PRISM: Purified Representation and Integrated Semantic Modeling for Generative Sequential Recommendation
por: Fang, Dengzhao, et al.
Publicado: (2026)

Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning
por: Han, Xiao, et al.
Publicado: (2024)

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

RecoAtlas: From Semantic Plausibility to Set-Level Utility in LLM Recommendation Agents
por: Aouali, Imad, et al.
Publicado: (2026)

A Knowledge Graph and Deep Learning-Based Semantic Recommendation Database System for Advertisement Retrieval and Personalization
por: Wang, Tangtang, et al.
Publicado: (2025)

A Reproducibility Analysis of PO4ISR: Diagnosing and Mitigating Semantic Drift in LLM-Based Session Recommendation
por: Tiwari, Aditya, et al.
Publicado: (2026)

CoActionGraphRec: Sequential Multi-Interest Recommendations Using Co-Action Graphs
por: Sun, Yi, et al.
Publicado: (2024)

A Semi-Automated Solution Approach Recommender for a Given Use Case: a Case Study for AI/ML in Oncology via Scopus and OpenAI
por: Kılıç, Deniz Kenan, et al.
Publicado: (2023)

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems
por: Färber, Michael, et al.
Publicado: (2025)

Joint Modeling of Search and Recommendations Via an Unified Contextual Recommender (UniCoRn)
por: Bhattacharya, Moumita, et al.
Publicado: (2024)

Pre-training for Recommendation Unlearning
por: Chen, Guoxuan, et al.
Publicado: (2025)

Impression-Aware Recommender Systems
por: Maurera, Fernando B. Pérez, et al.
Publicado: (2023)

Automated Query-Product Relevance Labeling using Large Language Models for E-commerce Search
por: Sachdev, Jayant, et al.
Publicado: (2025)

Machine Unlearning for Recommendation Systems: An Insight
por: Sachdeva, Bhavika, et al.
Publicado: (2024)

TEARS: Textual Representations for Scrutable Recommendations
por: Penaloza, Emiliano, et al.
Publicado: (2024)

Hgformer: Hyperbolic Graph Transformer for Recommendation
por: Yang, Xin, et al.
Publicado: (2024)

Enhancing Recommendation with Denoising Auxiliary Task
por: Liu, Pengsheng, et al.
Publicado: (2024)

Semantic Retrieval at Walmart
por: Magnani, Alessandro, et al.
Publicado: (2024)

Semantic Search At LinkedIn
por: Borisyuk, Fedor, et al.
Publicado: (2026)

Review of Explainable Graph-Based Recommender Systems
por: Markchom, Thanet, et al.
Publicado: (2024)

Bridging Conversational and Collaborative Signals for Conversational Recommendation
por: Rabiah, Ahmad Bin, et al.
Publicado: (2024)

Federated Vision-Language-Recommendation with Personalized Fusion
por: Li, Zhiwei, et al.
Publicado: (2024)

Personalized Image Generation for Recommendations Beyond Catalogs
por: Patron, Gabriel, et al.
Publicado: (2025)

Optimizing Recommendations using Fine-Tuned LLMs
por: Cheema, Prabhdeep, et al.
Publicado: (2025)

Modeling Churn in Recommender Systems with Aggregated Preferences
por: Keinan, Gur, et al.
Publicado: (2025)

Modeling Behavioral Intensity and Transitions for Generative Recommendation
por: Yang, Wenxuan, et al.
Publicado: (2026)

Learning to Fast Unrank in Collaborative Filtering Recommendation
por: Zhao, Junpeng, et al.
Publicado: (2025)

A Survey on Popularity Bias in Recommender Systems
por: Klimashevskaia, Anastasiia, et al.
Publicado: (2023)

BRIDGE: Bundle Recommendation via Instruction-Driven Generation
por: Bui, Tuan-Nghia, et al.
Publicado: (2024)

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation
por: Li, Shijun, et al.
Publicado: (2024)

Navigating the Future of Federated Recommendation Systems with Foundation Models
por: Li, Zhiwei, et al.
Publicado: (2024)

Contextual Bandit with Herding Effects: Algorithms and Recommendation Applications
por: Xu, Luyue, et al.
Publicado: (2024)

Knowledge-Enhanced Recommendation with User-Centric Subgraph Network
por: Liu, Guangyi, et al.
Publicado: (2024)

Large Language Model Distilling Medication Recommendation Model
por: Liu, Qidong, et al.
Publicado: (2024)

Hierarchical Reinforcement Learning for Temporal Abstraction of Listwise Recommendation
por: Ji, Luo, et al.
Publicado: (2024)

A Survey of Latent Factor Models in Recommender Systems
por: Alshbanat, Hind I., et al.
Publicado: (2024)

Large Language Models for Next Point-of-Interest Recommendation
por: Li, Peibo, et al.
Publicado: (2024)