Hinge’s latest matchmaking feature, “Most Compatible,” uses machine learning to figure out the tastes of individual users,
The Verge reports. “It primarily relies on
the Gale-Shapley algorithm to determine every user’s perfect match,” it writes. “The idea is that, essentially, there is a user out there who is most likely to like you and
you’re most likely to also like.”
Read the whole story at The Verge »
