Open access
Oct 2026
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...
Nermeen Kashef, Ola Ahmed Ali, El-Sayed M. E. Mostafa et al.
· Applied Sciences · 0 citations