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I recently tried it, building a profile for a bewildered spider monstress, whose picture showed her posing in front of the Eiffel Tower.The autogenerated bio: "To get to know someone like me, you really have to listen to all five of my mouths." (Try it for yourself here.) I swiped on a few profiles, and then the game paused to show the matching algorithm at work.
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Collaborative filtering works to generate recommendations, but those recommendations leave certain users at a disadvantage.
Beyond that, Berman says these algorithms simply don't work for most people.
So Berman, a game designer in San Francisco, decided to build his own dating app, sort of.
Monster Match, created in collaboration with designer Miguel Perez and Mozilla, borrows the basic architecture of a dating app.
Berman's idea isn't just to lift the hood on these kinds of recommendation engines.
It's to expose some of the fundamental issues with the way dating apps are built.
"Or an opt-out button that lets you turn off the recommendation algorithm so that it matches randomly." He also likes the idea of modeling a dating app after games, with "quests" to go on with a potential date and achievements to unlock on those dates.
Arielle Pardes is a senior associate editor at WIRED, where she works on stories about our relationship to our technology. She is an alumna of the University of Pennsylvania and lives in San Francisco.
In Berman's creation, if you swipe right on a zombie and left on a vampire, then a new user who also swipes yes on a zombie won't see the vampire in their queue.
The monsters, in all their colorful variety, demonstrate a harsh reality: Dating app users get boxed into narrow assumptions and certain profiles are routinely excluded.
"While Monster Match is just a game, Berman has a few ideas of how to improve the online and app-based dating experience.Tags: Adult Dating, affair dating, sex dating