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
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Updated
Jun 9, 2024 - Jupyter Notebook
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
It is a movie recommender web application which is developed using the Python.
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.
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
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