Similarity matrix calculations, with support for thresholding / sparsity, efficient parallelisation & hierarchy (or quotient graphs)

Checking for similarities between columns of two dataframes, including the use of a left merge function.

This project implements a content-based movie recommendation system using Python. It preprocesses movie metadata such as genres, keywords, cast, and crew, applies text processing techniques like stemming, and computes similarity between movies based on their content. Users can input a movie title and receive recommendations of similar movies.