There are 13 repositories under movie-recommendation-system topic.
A content-based recommender system that recommends movies similar to the movie the user likes and analyses the sentiments of the reviews given by the user
The Movie Database for all language movies
Basic Movie Recommendation Web Application using user-item collaborative filtering.
Content based movie recommendation system with sentiment analysis
This repository contains the code for building movie recommendation engine.
Movie Recommender System with Django.
This is a python project where using Pandas library we will find correlation and give the best recommendation for movies.
🎥 Movie Recommender AI System
Movie Recommendation System: Project using R and Machine learning
https://youtu.be/7hQhPMPNY6A
Next-up, a movie recommendation system project created for Microsoft Intern Engage' 2022. I got selected for Software Engineering Internship '23 at Microsoft via this program.
It is a movie recommender web application which is developed using the Python.
Movie Recommendation System created using Collaborative Filtering (Website) and Content based Filtering (Jupyter Notebook)
Tvflix is a Vanilla JavaScript application that seamlessly retrieves comprehensive movie details using the TMDB API. Discover movies effortlessly with an intuitive search feature, including cast, synopsis, and ratings. Explore personalized movie recommendations based on preferred genres for an enhanced movie-watching journey..
Resources accompanying the "Zero-Shot Recommendation as Language Modeling" paper (ECIR2022)
Movie recommendation system based on hybrid recommender and clustering
A machine learning model to recommend movies & tv series
It is a content based movie recommendations web app. Based on the user input, it recommends similar movies/webseries to the user using machine learning.
Built a movie recommender system with Streamlit and deploy in Heroku Platform.
An end-to-end Movie Recommender System
Movie Recommendation System based on machine learning concepts
Building model on Netflix data to understand the movie/shows that are similar to each other and different from one another by creating clusters and content-based recommender system that recommends movies similar to the movie the user likes which may be leveraged to offer the consumers personalized show suggestions depending on their preferences.
A movie recommender system is a system that seeks to predict or filter preferences according to the user's choices. The created Web-App using Python is a similar system, which suggests movies based on the user's liked movies.
scrapes movies from the mubi now showing page, then looks for magnet links for those and hopefully finds them :D
This is a movie recommender system performed with a data from kaggle about tmdb. It is purely content based.
Movie recommendation app (item based and genre recommendation)
This is a simple movie recommendation modal deployed on Heroku.
A Movie Recommender System which uses collaborative filtering techniques and matrix factorization to recommend movies to the user.
Movie Recommendation System Project using Pandas
Building a movie recommendation System using three way, Popularity based recommendation system, Content based recommendation system, Collaborative filtering based recommendation system.
Movie recommendation system using content based and collaborative filtering methods