movie-recommendation-system
There are 142 repositories under movie-recommendation-system topic.
Recommendation-System-for-Movies
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
Content-Based-Movie-Recommendation-System
Content based movie recommendation ml project.
TheMovieRecommender
The Movie Recommender uses the Streamlit framework for the frontend and cosine similarity for the recommendation system.
Movie-Recommender-System-with-R-programming-
Movie Recommendation System is an R project to enhance your Machine Learning knowledge. It is simply a recommendation system that provides consumers with various suggestions based on their history and interests.
flask-movie-recommendation-collaborative-filtering
A Movie Recommendation System using Collaborative Filtering Techniques
movie-recommender
Movie Recommender Engine
movie-recommendation-system
A simple end-to-end application to recommend movies.
Artificial-Intelligence-Projects
This repo contains many real-world case-studies of machine learning
Netflix-Movie-Recommendation
A collaborative-filtering based Recommendation Engine built on Netflix data that recommends movies to users.
comp9417
A movie recommendation system base on item to item collaborative filtering
movie_recommendation
A web application which recommends movies to the user.
movie_recommendation_engine
This is a simple movie recommendations web model, which uses collaborative filtering to recommend movies.
Movie-Recommender-System
Code repository for a sample end-to-end project for a Movie Recommender System built on Python Flask as backend
Movies-Recommender-System
🎥 Personalized movie recommendations using content-based filtering
Movie-Recommendation-System
A content-based movie recommendation system that recommends movies based on user preferences using cosine similarity.
movie-recommender-system
This code and data create a movie recommender system using content based filtering and cosine similarity. It uses the features of movies (genre, crew, etc.) to find and suggest similar movies to users.
Movie-Recommendation-AWS-Course-Project
Dive into this GitHub repository showcasing an Adaptive Website System coursework project. Implemented content filtering, collaborative filtering, and hybrid filtering techniques to enhance user experience through personalized recommendations. Explore well-documented code, datasets, and guides for seamless integration. Elevate your understanding
Movie-Recommendation_system_using_R
Movie Recommendation System: Project using R and Machine learning
prolog-codes
💬These Prolog scripts offer recommendation systems for Tamil movies based on user preferences and track calorie intake for various foods, enhancing decision-making in entertainment and nutrition.
Movie-Recommondation-Content-Based-Filtering
Movie Recommondation Engine using Cosine Similarity Vectorisation for Content Based Recommmondation on TMDB 5000 dataset.
Movie-Recommendation-System
The movie recommendation system with sentimental analysis
movie-recommender
It's a Python based Movie Recommendation System, which recommends movies to the users based on the similarity to previously watched movies. I have solved a machine learning classification problem and evaluated the model's performance using confusion matrix, accuracy score, recall score, precision and f1 score.
MovieAdvisor
This code implements the MovieAdvisor AR personalized movie recommendation system
pick-me-a-flick
Pick Me A Flick: A content filtering based Movie Recommendation Engine .
Movie-Recommendation-Flask
Movie Recommendation Anytime Anywhere
Movie-Recommendation-System-using-ML
This projects aims to recommend movies to the user based on high similarity scores among them.
Movie-Recommendation-System-MLOps-
In this project, I implemented, evaluated, operated, monitored, and evolved a recommendation service for a scenario of a movie streaming service.
movie-recommendation
movue recommendation systen project
Movie-Recommendation-System-Using-a-Hybrid-Approach
The problem I have picked for the project is to design and train an efficient movie recommendation model which will recommend movies to users based on the User interaction matrix which would contain the user details with the movies the users liked and vice versa. Also, I will design another model which will recommend movies based on the context, title, genre, and such other attributes of the movies liked by the user and would recommend similar movies to the user.
Movie-Recommender-System
Content-Based Recommender System recommends movies similar to the movie user likes and analyses the sentiments on the reviews given by the user for that movie.
Movie-Recommendation-Website-based-on-Genre
Movie Recommendation System created using Collaborative Filtering (Website) based on Genres
Movie_Recomendation_System
Collaborative Filtering Based Movie Recommendation System