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"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.This will help the company provide matches most in tune with their preferences. With more than 1.9 million paid subscribers, Match.com's data pool has been increasing for the past 18 years.It is the largest dating site in the world and according to the company, has brought more people together than any of the platforms on the web."People have a check list of what they want, but if you look at who they are talking to, they break their own rules.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.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.
"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.