Movie Recommendation System using Implicit Feedback Data

This project creates a movie recommendation system using implicit feedback data, such as user clicks, watch history, or time spent on a movie page, instead of explicit ratings. The system applies collaborative filtering techniques to suggest movies based on implicit data, making it suitable for platforms that collect non-rating data from users.