Which pioneering feature dramatically changed music recommendation systems and was first introduced by Spotify in 2015?

The streaming era has transformed how music reaches listeners, with recommendation algorithms playing a pivotal role in artist discovery and consumption patterns. These systems analyze listening habits, preferences, and even contextual data to suggest new music to consumers. Understanding these mechanisms has become crucial for artists, labels, and music marketers seeking to maximize visibility in an increasingly crowded digital landscape.

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Discover Weekly - personalized playlists tailored to individual listening patterns
Audio Fingerprinting - technology that identifies songs based on acoustic properties
Collaborative Filtering - recommendations based on similar users' preferences
Mood-based Playlisting - categorizing music based on emotional response indicators