Hinge dating app will begin using machine learning to make better matches



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Hinge, the Facebook friend-based dating app, has been testing machine learning to make better matches for singles.

The feature is called Most Compatible and according to multiple reports, plans to use all your data (there’s a whole trove of it on Facebook) to match people with each other. Most Compatible has been tested once a week for at least this past month, but it will now become a daily feature.

Hinge founder Justin McLeod said that this new feature mainly relies on the classic item matching algorithm Gale-Shapley, which was developed in 1962 and is nickname the stable marriage algorithm. It basically tries making successful matches by choosing the most seemingly compatible person. Read more…

More about Facebook, Hinge, Dating Apps, Machine Learning, and Tech



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