#MusicTech e-book

What it does

Learn how data science and recommender systems impact music streaming services, with use-cases featuring Spotify, YouTube, Twitter, Google BigQuery and more.

Music services (Spotify, iTunes radio, Pandora, etc.) need to stand out; yet, this is getting harder since most catalogs overlap, besides a few exclusives. And, as online music becomes be a commodity, they need to find incentives for users to use them versus competitors. One way to do so is to invest more time -- both on product and R&D -- on the technology front, especially on personalisation and discovery, in order to be ahead of the pack and own the space. This is an obvious strategy, and a win-win-win for all parties involved: This e-book, #MusicTech, is an evolving summary of various hacks and experiments on data-science, recommender systems - with a focus on online streaming, and more…from leanpub.com

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  #MusicTech2015 · leanpub.com · ▲69

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