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More couples are finding love on online dating sites, and it makes sense: thanks to finding a mate within the comfort of your own home and schedule, these platforms are getting smarter. Dating platforms are collecting an enormous amount of data about how people look for a partner and what they say they want, especially compared to who they pursue.And it's only going to get more sophisticated from here — in fact, has its sights set on using facial recognition technology to allow users in the future to highlight the features they are most attracted to.This will help the company provide matches most in tune with their preferences. With more than 1.9 million paid subscribers,'s data pool has been increasing for the past 18 years.

They might list 'money' as an important quality in a partner, but then we see them messaging all the artists and guitar players," he said.also sends matches based on this behavior: "Similar to Netflix or Amazon, we know that if you liked one person, you might like another that is similar," Thombre said. may be your favorite movie, but in this case, he has to like you back for it to be a match." Moving forward, Thombre says wants to experiment with facial recognition technology via the site."We have done a lot of interesting work on facial recognition and think there is a lot of potential for online dating," Thombre said."People are drawn to certain facial features and how a person looks, so with all the technology out there today, it's something we would really like to get involved with." How About We has embraced an algorithm different from other dating sites because its focus is less on online interactions and more on helping people get offline and on actual dates."Our deepest insight is that it's difficult to predict chemistry online," said Aaron Schildkrout, How About We co-founder and co-CEO. Get offline — that's where the chemistry happens." Behind the scenes, How About We says it "builds quickly and tests everything" on the site as a part of an effort to pair couples up based on how they like to date, from having picnics in the park to visiting amusement parks."It’s only after you achieve significant liquidity in a market that you can build a useful algorithm." As the user interacts with the site, the company gets a better sense for their unique preferences and the recommendation algorithms rely less on an ‘average person weighting’ and more on what is inferred from their behavior."Over time, we can pick up on patterns such as, ‘this user only messages people who have children and like to exercise,’ and make recommendations accordingly," he said.It factors a few key patterns from general user behavior on the site too, such as how the average person is more likely to message someone of a similar or higher education level.But characteristics such as political affiliation are much less important for How About We users.Coffee Meets Bagel is one of the younger dating platforms on the market.The free service curates user data — including Facebook profile pictures and preferences — as well as behavior on the site to "like" or "pass" on a person to make match predictions.

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