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

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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Bibliographic Details
Main Authors: Nida Siddique, Amna Zafar, Beenish Ayesha Akram, Muhammad Waseem, Sajid Iqbal, Ahmad A. Al-Yahya, Muhammad Nabeel Asghar, Abdullah Abdulrrehman Alaulamie
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Cold start problem
meta-learning
recommendation system
GNN
optimization
Online Access:https://ieeexplore.ieee.org/document/10977006/
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https://ieeexplore.ieee.org/document/10977006/

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