Rate movies and get recommendations.
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Updated
Jul 6, 2023 - Python
Rate movies and get recommendations.
This project is a movie recommender engine written using Python and the Scikit-Surprise libraries to generate better movie recommendations by utilizing temporal user interactiondata.
This is a basic ML app which recommends movies based on your entered movie name. Deployed using Flask API
basic register & login & rate site. Using Django, Sklearn and the IMDB dataset [halfway] 🎬
Movie recommendation system, made in Java.
This Movie Recommendation System takes a movie name as an input and recommends you some movies like the input movie based on similarity between them. It also shows you information about input movie and the details of cast who have acted in it.
Project on preference learning - ENSAE ParisTech
A movie recommender pipeline hosted on a local flask server using non-negative matrix factorisation (NMF)
In this repo you will get access to a flask app capable of recommending you movies. You will have to rate 3 movies before.
Recommender System for Movies
A movie recommender by year: didn't go a lot to the movies in 2012? Check here what you could have liked! [STILL IN DEVELOPMENT]
Movie Recommender System
Built Clustering model to design a movie recommender based on rating and tags by other users.
Creating a movie recommender with machine learning algorithms (Python / scikit-Learn / interface : streamlit)
A content-based recommender system that recommends movies similar to the movie the user likes.
Movie Recommender System project, This web application offers the functionality of suggesting a set of five movies based on the user’s selection.
Machine Learning Projects!
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