How do music recommendations work to boost user engagement? | Algolia

Online music-streaming services have revolutionized the way people discover new songs and artists. These platforms use intelligent algorithms to provide personalized recommendations based on users' listening habits, preferences, and dislikes. Spotify, for instance, examines song structure and analyzes user behavior to suggest new songs or create playlists tailored to individual tastes. Music recommendation algorithms not only improve the usability of music streaming platforms but also benefit artists by connecting them with potential audiences. Personalized content generates a sense of warmth among users, encouraging engagement and loyalty towards the platform. Additionally, these algorithms help broaden listeners' musical horizons, leading to increased ad-based revenue for subscription-based services like Spotify.