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Neural Collaborative Filtering - DL for Recommendation Systems

· 14 min read
Duong Nguyen Thuan
AI/ML Engineer, MLOps Enthusiast

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.

Recommendation Systems using Neural Collaborative Filtering

· 16 min read
Duong Nguyen Thuan
AI/ML Engineer, MLOps Enthusiast

Recommendation systems are ubiquitous in modern applications, from Netflix suggesting movies to Amazon recommending products. Neural Collaborative Filtering (NCF) represents a significant advancement in recommendation technology by leveraging deep learning to model complex user-item interactions.