Design a Spotify Recommendation System.

A robust Spotify recommendation system would integrate multiple strategies beyond basic collaborative filtering. While a user-item interaction matrix is a good starting point, it's crucial to incorporate content-based filtering by analyzing song metadata (genre, artist, tempo, lyrics) and user-provided data (playlists, skips, likes). Hybrid approaches combining collaborative and content-based methods, along with deep learning models (like Recurrent Neural Networks or Graph Neural Networks), can capture complex user preferences and song relationships. Contextual information, such as time of day, user location, and current activity, should also be factored in to provide highly personalized and timely recommendations.