That's what Yale professor, Edward Tufte, honestly says about Internet companies. In my country, 28.5 hours of per capita online time per week is equivalent to working overtime overnight on the mobile phone once a week. But even so, we are only 17th in the world. Obviously, foreigners are more involved than us when it comes to swiping mobile phones. Since so many people are addicted to the Internet, there must be many people who blame the recommendation algorithm. But is it that simple?
Can recommendation algorithms really control us? Moreover, it is obviously a free prostitution video, how do Internet companies make money? 1. How do algorithms “control” us? Go back to the 1990s, when the Internet was like a green campus, very simple. Portal b2b data websites are in the ascendant, enriching people's information acquisition channels, which are web1.0 and web2.0 that began to appear around 2004. With the rise of social media and blogs, the Internet has become more diverse, and the uploading and downloading of information has become the norm. As for web3.0, it is a decentralized Internet model.
However, it has not been implemented yet, and it is more of a concept. But what is certain is that there will be huge room for imagination fax number database in the future Internet life. Therefore, it is not difficult to find that from web1.0 to web3.0, the biggest change is the amount of information, which is becoming more and more. Although it is a good thing to increase the amount of information, once there is too much, the problem of information overload (Information Overload) will also appear. Users are engulfed by the sea of information, fax number database and trying to find useful information is really a needle in a haystack. To solve this problem, recommendation algorithms came into being. However, looking back at the whole process, it is the algorithm competition held by Netflix in 2006 that pushed the recommendation algorithm to a climax.