1 rich Libsyn https://www.libsyn.com 90 600 Where did recommender systems come from, and how do we know when they’re actually working? In part one of Data Skeptic’s three-part Recommender Systems finale, Kyle traces the field from collaborative filtering and the Netflix Prize to matrix factorization and modern approaches, while exploring why accuracy alone can’t capture what makes a recommendation useful, surprising, or meaningful. Data Skeptic https://dataskeptic.com <iframe title="Libsyn Player" style="border: none" src="//html5-player.libsyn.com/embed/episode/id/42476570/height/90/theme/custom/thumbnail/yes/direction/forward/render-playlist/no/custom-color/88AA3C/" height="90" width="600" scrolling="no" allowfullscreen webkitallowfullscreen mozallowfullscreen oallowfullscreen msallowfullscreen></iframe> https://assets.libsyn.com/secure/content/205206855