Movie recommendation Using Content-Based Filtering
This experiment demonstrates the recommendation of movies using content-based filtering
In a content-based Recommender system, keywords are used to describe the items and a user profile is
built to indicate the type of item this user likes. In other words, these algorithms try to recommend items
that are similar to those that a user liked in the past (or is examining in the present).