![]() Moreover, while branded playlists grow in popularity, most of these playlists come from everyday listeners. It could be the anniversary playlist your partner surprises you with on the big day. Perhaps it’s a private guilty-pleasures playlist you put on when you’re alone. They are the public hours-long party playlist your savvy coworker put together. ![]() These are the playlists that you and other Spotify listeners assemble. ![]() The last playlist type, the listener-created playlist, is the new mixtape. This last layer of analysis helps Spotify highlight songs that aren’t as popular or don’t have as much press, but that fit the profile of what you like. These include tempo, time signature, loudness, and key. The list changes daily and serves as a reference point for the Discover Weekly algorithm as it determines which songs are similar.įinally, Spotify analyzes the actual audio of each file for characteristics that help it classify the song. If an industry magazine profiles an artist or reviews a song, Spotify’s algorithm analyzes the text of that profile or review and updates its list of terms associated with that artist or song. ![]() “Discover Weekly” also applies natural language processing to articles, blogs, and metadata that refer to specific songs and artists. If someone out there has similar taste and loves a song that you haven’t heard yet, chances are high that “Discover Weekly” will recommend that song to you. ![]() Collaborative filtering focuses on the similarities between your profile and profiles that overlap. ![]()
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