Learning user preferences in online dating
Women, in general, see three times more interactions than men do, but Asian women were particularly successful at catching a man’s interest.
Additionally, Asian, Latino, and white women all respond more frequently to white men. Or, maybe patriarchal values have influenced women’s dating preferences.
Hinge presents this information to the user with a notification at the top of the screen that lets the person know of high potential compatibility with the given profile.
Research shows that since launching this “Most Compatible” feature, Hinge been able to guide its users toward people more suited for them.
The AI in dating apps aims to reconcile a user’s idealized version of a potential partner with the reality of the types of profiles they like.
The trajectory of this revolutionizes the way data will continue to be used in AI mechanisms to help humanity achieve results on multiple platforms, even in dating.
Bumble’s AI program takes into account user preferences as well as sign compatibility when presenting a potential partner to its user.
Matching zodiac signs is another instance of dating app technology working with user data to create the most compatible matches.
It gets to know the users better than they know themselves.
They are able to filter potential partners by zodiac signs.
In many cultures across the globe, astrological signs have been and continue to be used to measure the compatibility of a couple.
The other aspect to Tinder’s algorithm is based on a desirability factor.
In this case, the more “likes” you get will result in people being presented to you who also get a lot of “likes.” It also works in the opposite circumstance where users who don’t receive a lot of “likes” will be presented with people who also don’t receive a lot of “likes.” A final example of algorithms in dating apps is how Bumble users can now filter preferences beyond personality traits, professions, and appearances.