Data Science, Recommender Systems, Collaborative Filtering, Artificial Intelligence, Machine Learning.
avoids the problem posed by dynamic user preference as item-based CF is more static. However, several problems remain for this method. First, the main issue is scalability. The computation grows with both the customer and the product. The worst case complexity is O(mn) with m users and n items. In