Of the women who say that a partner's desire to have kids is a "must have" criteria on Match.com, for instance, 57% still have emailed men on the site who don't want to have kids.
It brought on current VP of strategy analytics Amarnath Thombre to head up the charge.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.We sat down with Thombre and President Mandy Ginsberg to learn more about the math behind improving matches.Nearly all of us have spent time pondering what makes two people a compatible couple, but few have put as much time, money and Ph. When the site started in 1995, online dating was an obscure (and somewhat dubious) practice.Now one in every five new relationships starts with online dating, according to a study it commissioned.
Matchmaking has never been a simple business, but when you add 16 years of data from a site that estimates has about 14 million unique visitors per month, there's endless opportunity for complexity.
About three years ago, the company decided to delve into that data to help improve its matches.
These are the four main components of the equation.
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.
The most basic part of Match's suggestions result from simply matching people with characteristics that they both said they liked.
What people say and what they do don't always match up.