There are 4 repositories under movies-recommendation topic.
Learning astronomy, geography, history, politics, religious
🎥 🍿 Streaming Public domain movies
Theatherflix Extension is a browser extension that provides personalized movie and series recommendations to users. Using The Movie Database (TMDb) API, the extension fetches popular movie data and displays customized suggestions based on user preferences.
A repository for a machine learning project about developing a hybrid movie recommender system.
A system to recommend movies according to ratings provided by users using Collaborative Filtering Learning Algorithm.
Movie App - YouTube
A full-fledged netflix clone built using react and redux and the tmdb api.featuring trending movies, favourites, add to watch later built using redux. the movie detail page showing the trailer, similar movies and search functionality
MovieCompose is a Professional Movie App with variety of features like Watching, Sharing and much more.
Finds a random movie from any long list
Movie revenue based analysis.
Treasure-boxd is a tool that predicts movie preferences and provides film recommendations based on users' Letterboxd data.
Movieway, content based movie recommendation version 2
EC-JANE Entertainment launches an innovative film recommendation project utilizing MovieLens data. This project aims to incorporate Big Data analysis and machine learning to enhance movie suggestions, leveraging Apache Spark, Elasticsearch, and a Flask API to provide a personalized and dynamic user experience.
The React App is a dynamic platform that utilizes a real API to showcase detailed information about movies and actors, providing users with a seamless and engaging experience.
This is an implementation of Movies recommendation system using collaborative filtering and k-means using Appache Spark in Scala.
Sort movies according to their IMDB rating
Project Akhir ( UAS Matkul Pemrograman Mobile )
MoviesHub is a website for searching various movies and TV shows using various filters.
With Nodejs, MongoDB and Mongoose ODM, using Model and Controllers, I created a full CRUD movies and movies recommendation using OPENAI (CHAT GPT)
Web application whereby movies of the current season are displayed and arranged based on public vote. Written as part of CP2106 (Orbital) coursework.
API for Movie database with user-generated Reviews and Favorites. Includes Yelp search for Movie Theaters.
Proyecto de Data Engineering y Machine Learning
Movie streaming and review site...
Movies recommendation and rating prediction using collaborative filtering.
Movie Recommendation System with the data from MovieLens
Download movies automatically based on IMDB
MOVIE++ A Movie Recommender System using SVD and CF Techniques
Building powerful and personalized, recommendation engines with Python
The Movie Application is a web application that allows users to search for movies, view movie details, and explore information about various films.