Nothing makes more of an impact on your dating profile than your main image. You can have everything going for you -- great job, no kids, never married, and sporting an appropriate number of teeth -- and one bad shadow, receding hairline, or misplaced background can render you undateable with one swipe. And there's a science to all of this. Researching profile photos has surfaced bizarre information, like the fact that the most popular guys show the left side of their faces and demonstrate pride. Or that the most-matched women appear happy and perhaps unsurprisingly show some skin.
Online dating: The technology behind the attraction
How Online Dating Works | HowStuffWorks
It meant a lot of late nights as he ran complex calculations through a powerful supercomputer in the early hours of the morning, when computing time was cheap. While his work hummed away, he whiled away time on online dating sites, but he didn't have a lot of luck — until one night, when he noted a connection between the two activities. One of his favourite sites, OkCupid , sorted people into matches using the answers to thousands of questions posed by other users on the site. McKinlay started by creating fake profiles on OkCupid, and writing programs to answer questions that had also been answered by compatible users — the only way to see their answers, and thus work out how the system matched users. He managed to reduce some 20, other users to just seven groups, and figured he was closest to two of them.
A front-row seat in a crash course on app-based dating was the perfect place for JoAnn Thissen. Online dating takes a lot of nerve, and the year-old retired marine geologist was working up her courage. There were men and women, millennials and baby boomers, singles and people in relationships. Peak dating season approaches with the holidays, and the love lives of tens of thousands of Chicagoans hinge on how algorithms behind popular dating apps like Tinder, Hinge and Match piece together their data.
Dating apps and websites could soon use computing algorithms that 'think' like humans to pinpoint fake profiles designed to con victims out of thousands of pounds. The new algorithms have been designed specifically to understand what fake dating profiles look like and then to apply this knowledge when they scan profiles submitted to online dating services. They automatically look out for suspicious signs inadvertently included by fraudsters in the demographic information, the images and the self-descriptions that make up profiles, and reach an overall conclusion as to the probability of each individual profile being fake. When tested, the algorithms produced a very low false-positive rate the number of genuine profiles mistakenly flagged up as fake of around 1 per cent.