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In the future, a computer program could dictate who you date, and for how long. Paris-based app happn analyses where you have been during the day, then shows you people who passed within metres of you.
She would not have met him otherwise, she says, adding that the two bonded over a shared love of Disney. If it's going to be a good match or not is very mysterious, chemistry is very surprising. Now machine learning is also being marshalled in the quest for better matches.
Imagine scanning people with your phone in a nightclub and seeing how many have made their dating profiles available, says happn's Claire Certain. She met her last boyfriend after a month.
Another data-based approach is to use your smartphone's location to find potential dates. These people will be easiest to meet in real life, says Claire Certain, happn's head of trends. LoveFlutter has paired up with Toronto-based natural language processing firm Receptiviti to create new approaches to matching people that they will start using this year. Swapping swiping for supper dates also proved a problem for Jordan. Rachel Katz, an American who studied Tinder for her master's degree at Cambridge University and is now studying Grindr for her doctorate, agrees.
Despite such frustrations, dating apps have grown relentlessly. Tinder launched in on the back of the explosion in smartphone use.
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