Computer Science

Deep learning-based multi-criteria recommender system for technology-enhanced learning

L. Salau, H. Mohamed, et al.

A hybrid DeepFM-SVD++ model fuses factorization machines and deep neural networks to tackle sparsity, over-specialization, and cold-start in multi-criteria recommender systems, improving personalization in Technology-Enhanced Learning and beyond. This research was conducted by Latifat Salau, Hamada Mohamed, Yunusa Simpa Abdulsalam, and Hassan Mohammed.