El-Sayed M. E. Mostafa

A NeuMF-Based Framework for Sparse E-Commerce Recommendation with Cold-Start Fallback

Personalized recommender systems have become essential in modern e-commerce by improving product discovery and enhancing user experience. However, recommendation performance is often limited by sparse user–item interactions and cold-start scenarios, where insufficient historical data reduces personalization accuracy. T...