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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

:movie_camera: 豆瓣电影推荐系统（Douban Movie Recommendation System）根据豆瓣电影数据以及豆瓣用户的观影和影评数据，使用基于物品的协同过滤算法对用户进行个性化推荐，并设计GUI进行用户交互。

The Movie Database for all language movies

Movie Recommendation System with Complete End-to-End Pipeline, Model Integration & Web Application Hosted.

Basic Movie Recommendation Web Application using user-item collaborative filtering.

The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the problem of interactive recommendation as a contextual multi-armed bandit.

This is a python project where using Pandas library we will find correlation and give the best recommendation for movies.

matlab, collaborative filtering, MovieLens dataset，The movie recommendation system

An advanced "content-based filtering" movie recommendation system built with Python, scikit-learn, and SQLite. It provides personalized movie suggestions based on user preferences through data analysis, and also allows users to search by a specific movie title to find similar recommendations.

Content based movie recommendation system with sentiment analysis