Movie Recommendation

Item-Based and User-Based Recommender Systems

Business Problem

Movie recommendation for random users with item-based and user-based methods.

Dataset

Dataset provided by MovieLens, a movie recommendation service. It includes movies and the ratings for those movies. These data were created by 138493 users between January 09, 1995 and March 31, 2015. This dataset was generated on October 17, 2016.

Users were selected at random for inclusion. All selected users had rated at least 20 movies.

Variables

movie.csv

movieId – Unique movie id number. (UniqueID)

title – Movie name

rating.csv

userid – Unique user id number. (UniqueID)

movieId – Unique movie id number. (UniqueID)

rating – The rating given to the movie by the user

timestamp – Rating date