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We sat down with Thombre and President Mandy Ginsberg to learn more about the math behind improving matches.

Can an algorithm figure out what we really want in a partner better than we can articulate ourselves?

If our likelihood for compatibility is so betrayed by our patterns, where's the magic? Neither the matchmaking company nor its algorithms claim to have the answer to any of these questions.

Since then, he and a team of 12 have been hard at work developing an equation (well, hundreds of equations) for successful match recommendations. "It's easy to predict who likes The Godfather, but in this case, the Godfather has to like you back," Thombre says.

The team's efforts, despite the challenge, seems to be working — the first changes alone resulted in a doubling of "yes" matches on the site.

The site looks for other users whose behavior mirrors your own (i.e.

they have communicated with the same people who you have).

"We don't know exactly what it is," explains Thombre.

"It could be their sense of humor, it could be the way they smile, the way that their facial structure is — all of these abstract patterns ...

51% who say the same about a partner's income have ended up breaking their criteria.

Because of this dissonance, Match.com's recommendation engine considers what "must have" criteria you will compromise on and when you make those compromises.

When you sign up for or pretty much any other dating site, you fill out a survey about yourself, your preferences and what you're looking for in a partner.

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