![Brave installer offline](https://cdn3.cdnme.se/5447227/9-3/21_64e61dfdddf2b33c615a3cd4.png)
Its Most Compatible feature uses machine learning and the Gale-Shapley algorithm to send daily recommendations for people based on user's past behavior within the app.
![linkedin dating app linkedin dating app](https://ruinmyweek.com/wp-content/uploads/2019/02/linkedin-dms1.jpg)
Hinge is positioning itself as a service that helps you get off dating apps soon. Men receive up to 21 matches - or "bagels" - a day to decide on, while women receive 4. Nine models rate the matches, and the system goes through all and comes back with a converged score.
![linkedin dating app linkedin dating app](https://i1.wp.com/www.techdipper.com/wp-content/uploads/2017/07/LinkedIn-Lite-1.jpg)
The company's matching algorithm runs on a deep neural network and uses a "blended" method. Thus, Coffee Meets Bagel connects individuals with a "friend-of-a-friend" match every day. Now many companies tune the algorithms to account for personality traits, music taste, beliefs, attitude, and much more.
![linkedin dating app linkedin dating app](http://images.sftcdn.net/images/t_optimized,f_auto/p/6361243e-9b32-11e6-b17f-00163ec9f5fa/445737185/linkedin-screenshot.png)
The complexity of such matchmaking has gone much further than "swiping right" for the desirable looks in nearby locations. In-app user behavior data enriched by the profile data provides food for the machine learning algorithms that learn to provide increasingly more relevant and curated matches. So, how exactly do companies use AI to change and improve the way people meet? Let's look at the few use cases among mature dating companies and startups.
![Brave installer offline](https://cdn3.cdnme.se/5447227/9-3/21_64e61dfdddf2b33c615a3cd4.png)