Recommendation System, Machine Learning, AI, Artificial Intelligence, Programming.
performance of collaborative filtering algorithms by using item content to make the user-item interaction matrix dense. Its benefits over the pure CF and CBF methods are: Reduces user-item data sparsity Handles cold-start problems when users have no or very few interactions. Handles the first rater