Collaborative Filtering Tutorials Across Languages

Collaborative filtering is the process of filtering for information using techniques involving collaboration among multiple agents. Applications of collaborative filtering typically involve very large data sets. This article covers some good tutorials regarding collaborative filtering we came across in Python, Java and R. Crab engine aims to provide a rich set of components from which you can construct a customized recommender system from a set of algorithms. The tutorial is from official documentation of Crab. This article presents an implementation of the collaborative filtering algorithm, that filters information for a user based on a collection of user profiles.