For starters, a quick reminder that computers and algorithms don’t think like we do:https://twitter.com/karlhigley/status/1137803683469627393 …
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Considering recommender systems from a philosophical perspective:https://twitter.com/karlhigley/status/1136612470297116675 …
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The popular understanding of YouTube, extreme content, and radicalization vs the technical reality:https://twitter.com/karlhigley/status/1137415969968726016 …
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Optimizing for engagement isn’t all it’s cracked up to be:https://twitter.com/karlhigley/status/1136651597453438977 …
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The difficulty of learning about niche content in order to avoid popular but irrelevant recommendations:https://mobile.twitter.com/karlhigley/status/1137890540878516224 …
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Why explainability and interpretability don’t always go together in recommender systems:https://mobile.twitter.com/karlhigley/status/1138822408373186568 …
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Building recommenders without machine learning:https://twitter.com/karlhigley/status/1166399765313196032 …
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Where the privacy risks of recommender systems live:https://twitter.com/karlhigley/status/1162561664836915200 …
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