Collaborative Filtering: How Computers Find Your Next Favourite Thing
Our take: Educational explainer on well-established collaborative filtering technique.
Why Impact & Innovation? We ask two questions of every story: did this actually change something in the real world (Impact), and is the idea genuinely new (Innovation)? Together, that's the TS Score — not engagement, not who posted it, just what matters and what's new.
Collaborative filtering recommends items by finding users with similar rating patterns rather than analyzing content properties, similar to trusting a stranger's taste because they've liked all the same things you have.
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