IMETA-GNN: Meta Learning-Based Cold Start Optimization for Recommendation System

Recommendation systems are becoming essential components of contemporary online goods and services, and they significantly affect customer satisfaction. Recommendation systems are designed to empower customers in their decision-making process by providing personalized recommendations. Meta-learning...

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Auteurs principaux:	Nida Siddique, Amna Zafar, Beenish Ayesha Akram, Muhammad Waseem, Sajid Iqbal, Ahmad A. Al-Yahya, Muhammad Nabeel Asghar, Abdullah Abdulrrehman Alaulamie
Format:	Artigo
Langue:	Inglês
Publié:	IEEE 2025-01-01
Collection:	IEEE Access
Sujets:	Cold start problem meta-learning recommendation system GNN optimization
Accès en ligne:	https://ieeexplore.ieee.org/document/10977006/
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