New Dating Service with Matchmaking Powered by Facebook and Your Lifestream

I’ve stated before that some of the largest benefits we will see from creating and maintaining our Lifestreams will be the services created on the backbone of that data. We are starting to see the first big service phenomenon from that coming in the way of content readers that are built specifically for us based on the data shared by our social graph.

Early on when I first started writing about Lifestreaming I gave thought to services that could be built off of the data and one of the first that came to mind was a dating site. In fact I had multiple interviews at a top dating site a few years ago that was very interested in my knowledge and thoughts around Lifestreaming data. I didn’t get the job, but I still felt that Lifestreaming data would at some point help power the matchmaking process. Well apparently a new dating service called Wings feels the same way.

Wings has taken a unique and interesting approach when it comes to dating. They figured that instead of creating a site from scratch that people need to join, they’d just tap into the 500+ Million Facebook users and build a dating app within their eco-system. The innovation doesn’t stop there as when you join there is no super long, multi-page questionnaire. After joining the service will analyze your Facebook data and let you also connect your Netflix, Pandora, Last.fm, Twitter, and Foursquare accounts to help paint a picture of who you are. I feel this is a much better way to build a profile for someone. Instead of a static survey filled out and frozen in time, your profile is dynamic based on the data collected on a daily basis.

After Wings collects all of your data they run it through their social compatibility algorithm which analyzes multiple personality dimensions of their users’ social profiles to find you a perfect match. Technology Review recently wrote a story on Wings and they provide some more background around the algorithm’s logic.

From Technology Review Article

All that data is fed into the service’s recommendation engine. That system combines Bayesian modeling, a type of mathematical analysis that lets computers draw inferences from huge data sets, and machine learning, where the more data and feedback the algorithm is fed, the “smarter” it gets.

The idea is that the computer’s analysis of your behavior provides a richer analysis than what you’d say about yourself. “We serve as our own blind spot in that it’s difficult to accurately answer questions about oneself without biasing toward recent experience, current mood, etc.,” says Sunil Nagaraj, chief executive and cofounder of Triangulate, the company behind Wings.

You can read their great full article on the service here.

It really sounds like an interesting service and if I wasn’t happily married with kids I’d love to try it out. I was thinking about it for this review but I think I might have a hard time explaining this app on my Facebook profile to my wife and friends. I do hope some of you readers give it a try though and post your comments below. Also, if one of you wants to write a full review of the service as a guest post here, I’d love to post it.

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This Post Has 10 Comments

  1. Mark, it seems Facebook is getting more and more active lately and it was only a matter of time to “enter” the dating industry, no one can deny its potential. 🙂

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  3. But you don’t want to just talk to women, because you want to attract them.

  4. This is really quite brilliant if it gets off the ground. Mr. Nagaraj’s comment about how we have a difficult time assessing ourselves is spot on. People, especially when trying to attract a mate, will undoubtedly paint a picture of how they wish themselves to be, rather than how they really are. Of course, even if this results in some great matches, the men and women involved still have to close the deal!

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Mark Krynsky

I created Lifestream Blog and hope you enjoy the site. I'm always looking for contributors so contact me if you're interested. You can follow the rest of what I like to write about at my personal site or follow me on Twitter, Facebook, or Google+
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