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Life & fun · October 2, 2015

#MusicTech

Data science, music discovery, and lots of fun use-cases!

#MusicTech launched on October 2, 2015 with 69 votes, #1,069 of 4,175 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 11 years on.

Visit leanpub.com ↗#MusicTech alternatives

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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  • Reason 82014 · reasonstudios.com · ▲82

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  • Next Big Sound2014 · ▲80

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  • How We Listen Now2016 · amazon.com · ▲63

    Essays and conversations about music and technology

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