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In this projectl, I aim to develop a reliable and personalized movie recommendation system that helps users find movies of their interest based on their preferences. I will integrate data from TMDb and Reddit APIs to provide a comprehensive dataset for the recommendation engine.

基于Springboot框架实现的个性化电影推荐系统，编程语言:Java ；数据库:MySQL；项目管理工具:Maven 前端技术:VUE、javascript、html、css、jQuery； 后端技术:Spring、SpringMvc、MyBatis，系统包含两种角色：管理员、用户,系统分为前台和后台两大模块

Emotion-based movie recommendation system using Flask (Tamil + English)

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🔮Trying to find the best movie to watch on Netflix can be a daunting. Case Study for Recommendation System of movies in Netflix.🔧

Personalized real-time movie recommendation system

基于django和协同过滤的电影推荐系统

电影推荐系统，包含离线推荐、实时推荐、Web 展示等模块。 Spring + Spark + SparkStreaming + Kafka + Flume 简单的电影推荐系统案例。

Contains code which covers various methods for recommending movies, some of the methods include matrix factorisation , deep learning based recommendation systems

Movie Recommendation System: Project using R and Machine learning