Facebook’s Next Algorithm Will Help You ‘Break the Ice’ with Strangers in Real Life


Imagine you’re at your local coffee shop, browsing the Internet. You decide to login, and after doing so, you realize you have a new friend request. You don’t know the person, but the face seems familiar. Casually glancing around the coffee shop, you suddenly see the face of the user.

You have just experienced Facebook’s forthcoming algorithm, which will attempt to use patented data mining tools to use location-based resources to connect users who frequently visit the same location.

A recent patent Facebook filed describes the plurality of factors that will facilitate their new ‘ice breakingalgorithm:

The plurality of factors can include at least one of an inferred locational proximity between the first user and the second user, a frequency of inferred meetings between the first user and the second user, a duration of each of the inferred meetings between the first user and the second user, or a pattern of occurrences of inferred meetings between the first user and the second user.”

In other words, Facebook will track IP addresses and device signatures on public Wi-Fi networks in order to determine how often two different people are in the same locality and how much time they spend there.

According to the patent, Facebook’s algorithm will employ broadcast triggers that include gyroscopes, accelerometers, and motion processors to track a variety of movements occurring on the Wi-Fi network. These movements include stationary patterns, walking, running, and vehicle-riding.

Facebook describes another example of the algorithm in action:

http://theantimedia.org/facebook-next-algorithm-will-help-you-break-the-ice/

 

Facebook’s Next Algorithm Update will be Ice Breaking


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Has this ever happened to you that you see the same girl every time you walk in to the coffee shop, but, never had a chance to talk to her or ask her name? I have seen this happening to a lot of guys, including me!

It’s never easy to break the ice. Especially when you don’t even know her name, have no information of interesting conversational topics to begin with. And to top it off, your dose of confidence is kissing the floor while you’re overwhelmed with her cuteness.

You feel like approaching Kim Jong Un. And the café, well of course, the North Korea. A hell tensed situation. Well Facebook seems to have an axe to break this ice.

Really, you ask? Hell yeah!

Facebook is well-known for its amazing yet scary data mining algorithms that suggest you friends. It compares all the information you offer to suggest you connections. For example, you see people from your high school, from the same living area, your interests, mutual friends, and even people from other networks as well in suggestions.

In addition to that, Facebook has taken a step ahead in guessing who can become your friend from the places you often go.

And even when you don’t know their names or haven’t talked to them ever! Yes, you read that right. I am not kidding at all.

A recent patent filed by Facebook reveals the concept of suggesting connection based on mutual network connectivity options. If you and a person have been using the same Wi-Fi network for some time, you will see their faces appearing in People You May Know section.

http://www.whatafuture.com/2016/02/09/facebook-friend-suggestion-algorithm/#sthash.zJVjG0XQ.rIVjUHTw.dpbs

FACEBOOK’S NEXT ALGORITHM WILL HELP YOU ‘BREAK THE ICE’ WITH STRANGERS IN REAL LIFE


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You have just experienced Facebook’s forthcoming algorithm, which will attempt to use patented data mining tools to use location-based resources to connect users who frequently visit the same location.

A recent patent Facebook filed describes the plurality of factors that will facilitate their new ‘ice breaking’ algorithm:

“The plurality of factors can include at least one of an inferred locational proximity between the first user and the second user, a frequency of inferred meetings between the first user and the second user, a duration of each of the inferred meetings between the first user and the second user, or a pattern of occurrences of inferred meetings between the first user and the second user.”

http://www.infowars.com/facebooks-next-algorithm-will-help-you-break-the-ice-with-strangers-in-real-life/