Movie Recommender based on the MovieLens Dataset (ml-100k) using item-item collaborative filtering.

A movie recommender pipeline hosted on a local flask server using non-negative matrix factorisation (NMF)

This is a simple Movie Recommender build by scrapping the web and tkinter module of python3.

Recommender System for Movies

Movie recommendation system, made in Java.

Recommending movies to user using various Colaborative Filtering and Content Based Filtering.

Movie Recommender System

Movie Recommender System

basic register & login & rate site. Using Django, Sklearn and the IMDB dataset [halfway] 🎬

Built Clustering model to design a movie recommender based on rating and tags by other users.

A web-based movie recommender using unsupervised learning to suggest movies based on user input. Recommendations through scikit-learn NMF and CosineSimilarity.

In this repo you will get access to a flask app capable of recommending you movies. You will have to rate 3 movies before.

Implementation of movie recommendation systems using Apache Spark ML alternating least squares (ALS)

🎬 Movie recommender with a web interface based on Collaborative Filtering and Non-negative Matrix Factorization algorithms

Creating a movie recommender with machine learning algorithms (Python / scikit-Learn / interface : streamlit)

In this project, I do some analysis, visualizations, and then create movie recommender system on imdb data. I do that because I want to know more about movies, especially Hollywood movies. Therefore, I do analysis and visualization on imdb data which is contain informations about movies, e.g. who is produced, when the movies release, rating movi…

Training machine learning models to recommend movies.

User based collaborative filtering and content based filtering algorithms have been used to recommend movies similar to the input provided by the user.

CS studies - Natural Language Processing project

movie recommender