Neural Collaborative Filtering - DL for Recommendation Systems
· 14 min read
Neural Collaborative Filtering (NCF) represents a paradigm shift in recommendation systems by replacing traditional matrix factorization techniques with deep neural networks. This approach, introduced in the paper "Neural Collaborative Filtering" (He et al., 2017), leverages the power of deep learning to model complex user-item interactions more effectively.