Cloud-Based Hybrid Deep Learning Movie Recommendation System

This project presents a Cloud-Based Hybrid Deep Learning Movie Recommendation System inspired by the base paper ‘A Deep Learning Based Hybrid Recommendation Model for Internet Users’ (Scientific Reports, Nature, 2024). The proposed system integrates Collaborative Filtering (CF), Content-Based Filtering (CBF), Neural Collaborative Filtering (NCF), and cloud deployment to improve the personalization and accuracy of movie recommendations. The model is trained using the MovieLens dataset and deployed on Streamlit Cloud for interactive user access. The objective is to deliver a scalable and intelligent recommendation system capable of handling cold-start and data sparsity challenges while providing high user satisfaction.