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People were doing something very different from the things they said they wanted on their profile."As a result, Match began "weighting" variables differently, according to how users behaved.For example, if conservative users were actually looking at profiles of liberals, the algorithm would learn from that and recommend more liberal users to them.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.People come in and tell us a bit about what they're looking for. Coloured lights flash from the ceilings, workers lounge on circular banquettes, dance music plays from hidden speakers.

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Until Ginsberg joined IAC, which owns Match, in 2006, she worked at i2 Technologies, a supply-chain management company, also based in Dallas.

On a hazy Monday in June, I came to meet Mandy Ginsberg, the president of US, the world's largest online dating site.

Petite, preppy and freckled, with long brown hair, Ginsberg was wearing sandals, tight black jeans and a loose blouse.

"When you give it stimuli, it forms neural pathways," he says. It's learning as you go." The same principles are powering the recommendation engines at popular sites around the web.

Amazon uses similar ­technology to recommend new products for people to buy, Pandora learns from likes and dislikes to customise its internet radio stations, and Netflix famously offered

Until Ginsberg joined IAC, which owns Match, in 2006, she worked at i2 Technologies, a supply-chain management company, also based in Dallas.

On a hazy Monday in June, I came to meet Mandy Ginsberg, the president of US, the world's largest online dating site.

Petite, preppy and freckled, with long brown hair, Ginsberg was wearing sandals, tight black jeans and a loose blouse.

"When you give it stimuli, it forms neural pathways," he says. It's learning as you go." The same principles are powering the recommendation engines at popular sites around the web.

Amazon uses similar ­technology to recommend new products for people to buy, Pandora learns from likes and dislikes to customise its internet radio stations, and Netflix famously offered $1m to anyone who could improve the effectiveness of its algorithm by 10 per cent.

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Until Ginsberg joined IAC, which owns Match, in 2006, she worked at i2 Technologies, a supply-chain management company, also based in Dallas.On a hazy Monday in June, I came to meet Mandy Ginsberg, the president of US, the world's largest online dating site.Petite, preppy and freckled, with long brown hair, Ginsberg was wearing sandals, tight black jeans and a loose blouse."When you give it stimuli, it forms neural pathways," he says. It's learning as you go." The same principles are powering the recommendation engines at popular sites around the web.Amazon uses similar ­technology to recommend new products for people to buy, Pandora learns from likes and dislikes to customise its internet radio stations, and Netflix famously offered $1m to anyone who could improve the effectiveness of its algorithm by 10 per cent.

m to anyone who could improve the effectiveness of its algorithm by 10 per cent.

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