Data Science, Recommender Systems, Collaborative Filtering, Artificial Intelligence, Machine Learning.
User-based: measure the similarity between target users and other users Item-based: measure the similarity between the items that target users rates/ interacts with and other items The key idea behind CF is that similar users share the same interest and that similar items are liked by a user.