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That Algorithm Knows You Too Well
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About this listen
An app recommends exactly the song, movie or piece of content you wanted before you even searched for it. How does it do that? This chapter explores the mathematics behind recommendation systems: similarities between users, behavioral patterns, hidden signals and predictions built from millions of small decisions. We also look at why an algorithm can feel uncannily accurate one moment and completely absurd the next. It does not need to understand who you are or read your mind. To anticipate some of your choices, it may only need to discover which other patterns resemble yours.
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