Building Recommendation Systems with Matrix Factorization
Recommendation systems have become the backbone of modern digital experiences, powering everything from Netflix’s movie suggestions to Amazon’s product recommendations. At the heart of many successful recommendation systems lies a powerful mathematical technique called matrix factorization. This approach has revolutionized how we understand and predict user preferences, transforming sparse user-item interaction data into meaningful insights … Read more