Just like the knowledge-based and content-based recommenders, we will build our collaborative filtering models in the context of movies. Since collaborative filtering demands data on user behavior, we will be using a different dataset known as MovieLens.
The framework
The MovieLens dataset
The MovieLens dataset is made publicly available by GroupLens Research, a computer science lab at the University of Minnesota. It is one of the most popular benchmark datasets used to test the potency of various collaborative filtering models and is usually available in most recommender libraries and packages:
MovieLens gives us user ratings on a variety of movies and is available in various sizes. The full version consists of more than...