Topic: movies-recommendation Goto Github
Some thing interesting about movies-recommendation
Some thing interesting about movies-recommendation
movies-recommendation,A Movie Recommendation and review system. Data taken from IMDB. Used collaborative filtering for Recommendation system. Sentiment analysis using NLP. Deployed on Heroku. Developed using Flask.
User: abhishek-parashar
Home Page: https://binge-watchers.herokuapp.com/
movies-recommendation,Movie App - YouTube
User: accimeesterlin
Home Page: https://youtu.be/mWg2udweauY
movies-recommendation,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.
User: aleksandrriabov
Home Page: https://aleksandrriabov.github.io/movies/
movies-recommendation,Web application whereby movies of the current season are displayed and arranged based on public vote. Written as part of CP2106 (Orbital) coursework.
User: andreathniah
movies-recommendation,Learning astronomy, geography, history, politics, religious
User: anzhihe
movies-recommendation,Finds a random movie from any long list
User: breanna13
Home Page: https://randommovieroulette.herokuapp.com
movies-recommendation,🎥 🍿 Streaming Public domain movies
Organization: casbah-ma
Home Page: https://cinedantan.com
movies-recommendation,Get a movie to watch for today matching your mood
Organization: codezri
Home Page: https://codezri.org/movieszri/
movies-recommendation,Sort movies according to their IMDB rating
User: didierrlopes
movies-recommendation,API for Movie database with user-generated Reviews and Favorites. Includes Yelp search for Movie Theaters.
User: discocisco
Home Page: https://sceneit-api.herokuapp.com
movies-recommendation,Project Akhir ( UAS Matkul Pemrograman Mobile )
User: donihsan
movies-recommendation,Proyecto de Data Engineering y Machine Learning
User: fedeandresg
movies-recommendation,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
User: govind783
Home Page: https://govinds-project.netlify.app/
movies-recommendation,A model to recommend movies based on collaborative filtering (using ALS algorithm) and perform various analysis on the data.
User: hemantsathish
movies-recommendation,🤖 Personal movie recommendation chat bot
User: iamvukasin
movies-recommendation,Movie revenue based analysis.
User: jesse989
Home Page: https://spark.adobe.com/page/aYgVAoMjU9YMa/
movies-recommendation,Add 52 great movies from IMDB as Todoist tasks with due dates.
User: karatugo
Home Page: https://watch-52.herokuapp.com/
movies-recommendation,MovieCompose is a Professional Movie App with variety of features like Watching, Sharing and much more.
User: khubaibkhan4
movies-recommendation,Movie streaming and review site
User: knob123
Home Page: https://teal-maamoul-a28380.netlify.app/
movies-recommendation,Movie streaming and review site...
User: krishan-kant123
Home Page: https://teal-maamoul-a28380.netlify.app/
movies-recommendation,Movies recommendation and rating prediction using collaborative filtering.
User: lovesaroha
Home Page: https://js.lovesaroha.com/Movies-Recommendation-System
movies-recommendation,The project extracts movie data using TheMovieDB API, processes it using TF-IDF and cosine similarity for generating recommendations, and stores the data in a DuckDB database. The system is encapsulated within a FastAPI web application and can be deployed using Docker. It provides movie recommendations in JSON format.
User: magnuss0
movies-recommendation,This is an implementation of Movies recommendation system using collaborative filtering and k-means using Appache Spark in Scala.
User: malikzohaib
movies-recommendation,recommending movies based on inputs provided by user.
User: mounikpatel
Home Page: https://github.com/mounikpatel/movies-recommendation-system
movies-recommendation,Movie Recommendation System with the data from MovieLens
User: mujahid14916
movies-recommendation,ZFlix is the largest free streaming platform for movies and tv shows. Collaborative media and info service featuring high quality content for a huge selection of titles and new releases! Available in all countries.
User: nareshe31
Home Page: https://zflix-app.netlify.app
movies-recommendation,Gradual Relaxation using Emotion Recognition
User: nobin97
movies-recommendation,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.
Organization: nymexhub
movies-recommendation,Treasure-boxd is a tool that predicts movie preferences and provides film recommendations based on users' Letterboxd data.
User: philippe-gagne
movies-recommendation,Developed by Pirate-Emperor, Cine_Sprite_Genre is a web application inspired by Netflix, but with a specific focus on movie genre selection and also on other aspects of an OTT site.
User: pirate-emperor
Home Page: https://cinesprite.rf.gd
movies-recommendation,A one stop to movies
User: piyushjohnson
movies-recommendation,Download movies automatically based on IMDB
User: raghavanv97
movies-recommendation,The Movie Application is a web application that allows users to search for movies, view movie details, and explore information about various films.
User: rahul-khawse
Home Page: https://moviex-kappa.vercel.app
movies-recommendation,This projects aims to recommend movies to the user based on high similarity scores among them.
User: ridhika123269
movies-recommendation,Service that keeps an eye on trending movies/tvshows and recommend the ones that might be of interest.
User: rrvieira
movies-recommendation,A repository for a machine learning project about developing a hybrid movie recommender system.
User: sebastianrokholt
movies-recommendation,"My Movies Flix" is a simple web app created using React, With this app you can explore a curated list of my all-time favorite movies, thoughtfully divided into several captivating genres.
User: shivlloyd
Home Page: https://my-movies-flix.netlify.app/
movies-recommendation,Recommendation System: It helps a user to discover new Movies/Products by predicting Rating on each item for a particular user from Past Experience of that User
User: souravaggarwal
movies-recommendation,MoviesHub is a website for searching various movies and TV shows using various filters.
User: sunil-darji
Home Page: https://movieshub-namdev01.netlify.app/
movies-recommendation,Predict greatness of the movie using Machine Learning
User: supreethnunna
movies-recommendation,This is movie rating website where you will see movie ratings and all information regarding movies. This is made up of React Js and it is fully responsive.
User: suraj-ambekar
Home Page: https://cinemagic-website.netlify.app/
movies-recommendation,MOVIE++ A Movie Recommender System using SVD and CF Techniques
User: techie5879
movies-recommendation,A system to recommend movies according to ratings provided by users using Collaborative Filtering Learning Algorithm.
User: thegenuinegourav
movies-recommendation,A mobile app to search, save and find your next movie to watch !
User: vavart
movies-recommendation,Movieway, content based movie recommendation version 2
User: vikramr22
Home Page: https://moviesway.streamlit.app/
movies-recommendation,With Nodejs, MongoDB and Mongoose ODM, using Model and Controllers, I created a full CRUD movies and movies recommendation using OPENAI (CHAT GPT)
User: walidbosso
movies-recommendation,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.
User: yassinessadi
movies-recommendation,Building powerful and personalized, recommendation engines with Python
User: youssef0eldeeb
movies-recommendation,Simple Movies RecSystem for learning purposes
User: zenwai
Home Page: https://www.dukelearntoprogram.com//capstone/recommender.php?id=MkKAemh4NfGlOJ
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