๐ฟ This Python-based system leverages machine learning techniques to provide personalized movie recommendations based on user preferences.
Features:
๐ฅ Collaborative Filtering: Utilizes collaborative filtering algorithms to analyze user behavior and recommend movies that similar users have enjoyed.
๐ Content-Based Filtering: Explores movie metadata such as genres, actors, and directors to suggest films based on the user's taste.
๐ค Machine Learning Models: Implements state-of-the-art machine learning models for accurate and efficient recommendation predictions.
๐ Interactive User Interface: A user-friendly interface that allows users to input preferences and receive instant movie recommendations.
๐ Scalability: Designed with scalability in mind, making it easy to integrate with larger datasets and adapt to growing user bases.