Hinge’s newest feature — Most Compatible — attempts to use all your cumulative data to find the perfect match for you. The company’s been testing this feature, which occasionally recommends a possible match to users, for at least month now. Those recommendations were only offered once a week during testing but will now come every day. Justin McLeod, Hinge’s CEO, tells me the company spent the testing time honing its backend algorithm and getting Most Compatible to a point where the company feels confident putting it fully out there.
Most Compatible, he says, uses machine learning to figure out each user’s taste. It primarily relies on the Gale-Shapley algorithm to determine every user’s perfect match. The idea is that, essentially, there...
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