IEEE

Empowering Quality of Recommendations by Integrating Matrix Factorization Approaches With ...

Abstract: Recommendation systems play an important role in creating personalized content for consumers, improving their overall experiences across several applications. Providing the user with ...
IEEE

Robust Non-Negative Matrix Tri-Factorization with Dual Hyper-Graph Regularization

Abstract: Non-negative Matrix Factorization (NMF) has been an ideal tool for machine learning. Non-negative Matrix Tri-Factorization (NMTF) is a generalization of NMF that incorporates a third ...