Make your Own Book and Movie Recommender System using Surprise

Surprise (stands for Simple Python RecommendatIon System Engine) is a Python library for building and analyzing recommender systems that deal with explicit rating data. It provides various ready-to-use prediction algorithms such as baseline algorithms, neighborhood methods, matrix factorization-based ( SVD, PMF, SVD, NMF), and many others. Also, various similarity measures (cosine, MSD, Pearson…) are built-in. In both, I will use collaborative filtering techniques and content-based techniques to filter items, and no worries I will explain the differences between them. I use here the MovieLens dataset.