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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Hlavní autoři:	Nida Siddique, Amna Zafar, Beenish Ayesha Akram, Muhammad Waseem, Sajid Iqbal, Ahmad A. Al-Yahya, Muhammad Nabeel Asghar, Abdullah Abdulrrehman Alaulamie
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2025-01-01
Edice:	IEEE Access
Témata:	Cold start problem meta-learning recommendation system GNN optimization
On-line přístup:	https://ieeexplore.ieee.org/document/10977006/
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