And once at Match, he, Ginsberg and a team of nine maths whizzes hired by Thombre, set about updating the Match algorithm."The one thing I knew was numbers and analytics, so we started building a numbers team here," he told me. The same principles work, no matter what kind of numerical problem you're solving."The way the Match algorithm learns, he says, is similar to the way the human brain learns.Then, while still at i2, she became involved with an engineer at the company who was born halfway across the world. "If I had laid out a criteria for what I was looking for, it would not have been a guy from south India," she told me. You're constantly making trade-offs about who's too tall, too short, too smart and too dumb.
Her jewellery was limited to a diamond bracelet and a wedding band.
Confident and casual, she seemed as good a person as any to be the face of online dating.
You meet her criteria, and she meets yours, so you're a good match," Thombre explained.
"But when we researched the data the whole idea of dissonance came into focus.
But what you say and what you do can be different."Academics call this "dissonance".