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DatingFacebook-based

Facebook-based dating app Hinge will use machine learning for love

Facebook-based dating app Hinge will use machine learning for love
The Most Compatible feature factors how people act on the app (such as who you previously liked) and wants to serve as a virtual matchmaker.
The Most Compatible feature factors how people act on the app (such as who you previously liked) and wants to serve as a virtual matchmaker.

Image: golden sikorka/shutterstock

The dating app Hinge has been testing a feature that uses machine learning to find better matches for singles.

It’s called Most Compatible and according to multiple reports, plans to use your in-app data 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.

The Most Compatible feature takes into account how people act on the app (such as who and what content you previously liked). It wants to serve as a virtual matchmaker and aims to find people similar to those you previously matched with on the platform.

Who knows whether this will work. Hinge claims that although it likes having many users, it hopes people get off the app as soon as possible (assuming you leave because your needs have been met). Maybe AI and machines are the friends you never knew you needed to make that first introduction or connection happen.

Correction: A previous version of this article incorrectly stated that the app uses Facebook data to create matches. Hinge no longer requires users to connect their Facebooks, and the article has been updated to reflect that.

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