Monday, 5 May 2014

Why Facebook is addictive? Because he knows how to teach us

Facebook is increasing in strength - not only in terms of number of users, but also their activity on the site. How is it possible that Facebook makes us more and more? The answer is simple: he knows what we like and understand us more and more.

Mark Zuckerberg announced on Wednesday that 63 percent that day . of 1.28 billion users logged into Facebook , and the percentage of users who log on at least six days a week exceeded 50 percent .
"Like"
Facebook has launched a news channel ( news feed ) in 2006 , but the " I Like it " was introduced only a year later. From that moment the service knows what is really like and what we are interested .

Since then, the news channel has changed with with a simple chronological list , the mechanism " able to study us."

Therefore, posts on our " Wallu " are ranked according to what is most likely to be interesting for us . The purpose of this was to ensure that such views baby pictures of our friend will take precedence before knowing the result of the game " Mafia Wars " achieved by another of our friends .

This mechanism , however, was far from perfect. Funny meme collected thousands of high-speed " lajków " when a reliable analysis of military conflict was punished by the algorithms Facebook, because you do not obtain the approval of members .

junk posts
This meant that " walle " were filled with " junk information", where users truly hated . These posts were " clickable " headlines for gain as much polubień and " clicks " . And these lead to pages filled with spam and ads.


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In the absence of the " I do not like this " algorithms Facebook, had no way of knowing which posts the users are not interested . Finally , a year ago, Facebook has admitted it had a problem with the quality of the content . Service began collecting new data to generate insights that old data - liking of , make comments - could not do .
By Facebookowi in the conversion algorithms are currently three data sources : surveys , A / B testing and research on the time the user spends away from Facebook when you click on the post and what he was doing when he returns .

thousand version
Facebook testing variations of their algorithms by showing him a small number of users . As it turns out , may be even a thousand different versions of the site for different groups . Facebook collects data from them to see which generate positive change , and that negative reactions.

Every time you log in to Facebook, sites algorithms must choose which of the average of 1,500 posts to put on top of our news channel .


Some speculate that the changes were developed specifically for the degradation of some sites and at the same time to raise the ranking of others. - Facebook determines the quality of content is not the objective ranking system , but according to users' tastes - emphasizes Will Cathcart , who in the company of Menlo PArk oversees product management teams .

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