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The algorithms that refine Google or capture more of your money on Amazon choke when applied to the complexities of attraction.Even the master of dating data, OKCupid co-founder To even try to apply algorithms to dating, sites have needed members to fill out questionnaires or maintain profiles, which many consider annoying time-sucks.Tinder is actually anti-technology—a rejection of computerized matching in favor of reptile-brain instantaneous reactions to images.

We so far haven’t seen a Google or Netflix of online dating—no one company that has nailed it and run away with the category.

And in technology, when a constantly changing gaggle of companies contend for pieces of the same market, it almost always means one thing: None of them are getting it right.

announced a breakthrough in computer vision, and it eventually could let a Tinder-like dating app learn what you find attractive in a person’s appearance.

“I’m a moderately smart person, but I’m no genius – I’m sure of that,” writes author Chad Eastham.

“And for a smart person, I have done a lot of dumb things.

In fact, a lot of people do really dumb things, and dating without the right boundaries and attitude is no exception.In my latest book, The Truth About Breaking Up, Making Up, & Moving On, I attempt to help smart people break the dumb habits in dating that keep them from being in happy, and more importantly healthy, relationships.It’s not outrageous to trace a line from experiments today on dating sites to coming machine-learning systems that will be able to make better matches than a neighborhood yenta. If you’ve been married for 20 years and are reading this, you might feel as if there’s an orgy going on out there that you weren’t invited to.Whoever gets this right first could dominate the market.20 million users visit a dating site each month. Plus, dating sites have an incentive to avoid being too good.If they quickly find you a match, you then quit the site.(Or so you promise.) It’s like the quandary dentists must feel when they give their patients fluoride treatments. Over the years, many have purported to use algorithms to guide users to better matches, but none have improved the odds much.

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