Spotify, a music-streaming service, offers a different model with its
Discover Weekly playlist, which it produces for more than 100m
customers. It analyses billions of users’ playlists to find songs that
others with similar interests have liked. These tracks are combined into
a playlist of 30 songs (perhaps including some familiar as well as new
ones) delivered each Monday.
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Music lends itself well to this treatment. Streaming services have
catalogues of around 30m songs each, compared with mere thousands of
film and TV titles. And songs, unlike films, are short enough for a poor
recommendation not to matter much. Spotify’s experience shows that
algorithms can occasionally nudge people away from hits and expand their
horizons.
http://www.economist.com/news/special-report/21716464-recommendations-must-be-neither-too-familiar-nor-too-novel-how-devise-perfect
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