It Is Okay If You Don't Know What You Like. We Do (feat. Deep Recommendation Algorithms)

Written by joon-kim | Published 2019/12/13
Tech Story Tags: startup | recommendation-algorithm | generation-model | ranking-model | deep-learning | predicitve-analysis | software-top-story | hackernoon-top-story

TLDR Recommendation algorithms have penetrated to every part of information we get from the internet, from your basic search results on Google to your social media news feed on Instagram. YouTube may be responsible for $16 to $25 billion dollars of the annual revenue, which would be about 11–18 percent of Google’s entire revenue last year. As a company deriving most of the profits from ad placement, the recommendation algorithm lies at the heart of the lucrative plot. How YouTube's recommendation algorithm works, in reality, is shrouded in mystery, but from this paper published in 2016, we can at least get a peek on what they tried.via the TL;DR App

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Written by joon-kim | Engineer at Stan World (https://stan.world)
Published by HackerNoon on 2019/12/13