Shulou(Shulou.com)06/03 Report--

This article shows you an example analysis of Google's FLoC algorithm, which is concise and easy to understand, which will definitely brighten your eyes. I hope you can get something through the detailed introduction of this article.

In the Android system, we can download nut hidden APP, by adding applications with security risks to APP sandboxie space to deal with the excessive spread of APP permissions, or to prevent applications from automatically downloading malicious plug-ins in the background, so as to ensure the privacy and data security of our mobile phones.

But if technology companies want to obtain data generated by users during their use of the software and apply it to the advertising market, such privacy protection software is often difficult to stop.

At present, the Cookie algorithm, which is common in browsers, supports a huge advertising market. When users visit certain web pages and make changes to some settings of the web pages, Cookie can track and record these changes. For example, Chrome browsers can use third-party Cookie to save login information.

Because of this feature of Cookie, most advertisements are based on Cookie. For example, if users visit a large number of fitness websites, advertisers can accurately push fitness ads to you according to your visit behavior in Cookie records.

However, with the continuous penetration of Cookie, the user data collected by Cookie is often bought and sold on a large scale by third parties, which has endangered the privacy and security of users to some extent, so many head technology companies have put forward plans to replace Cookie.

Browsers such as Apple's Safari have completely banned third-party Cookie,GitHub, announcing the removal of all unnecessary Cookie banner,Adobe from GitHub sites and introducing software that can replace third-party Cookie. Recently, Google also began to test a new advertising technology, FLoC, internally on its Google Chrome browser.

Google's official description of FLoC is that peer-to-peer group learning (FLoC) provides a new way for companies to attract users with related content and ads by bringing large groups of people with similar interests together. This method effectively hides the individual in the "crowd" and uses the processing function on the device to keep the personal network history in the browser.

The simple understanding is that this new advertising technology no longer records and tracks the behavior of individual users, but records users with the same browsing history or shopping tendency in a similar group way, so that it can not only basically maintain the advertising effect similar to Cookie, but also make users' personal privacy hidden in the market, using group user portraits instead of individual user portraits.

This new idea does sound good, as if it can protect the privacy of users, but in fact, FLoC has not been widely accepted by the industry, and companies including Microsoft, Firefox, Brave and Vivaldi have clearly expressed their opposition to FLoC. On April 27th, GitHub also announced that it would block Google FLoC tracking and join the anti-Google FLoC alliance.

The tech giants also have good reasons to reject the new technology: FloC appears to be designed to protect users' privacy, but it's really just a technology for advertisers, and it's obviously not very mature yet.

The Electronic Frontier Foundation (Electronic Frontier Foundation,EFF) attacked Google's FLoC in March: although FLoC eliminated third-party Cookie, there were still privacy issues of fingerprint identification (Finger printing) and cross-context exposure of user information. "We should imagine a better future: no harm from targeted advertising and no Google FLoC."

To prevent users from unknowingly participating in FLoC testing, the Electronic Frontier Foundation has even developed a tool that can detect whether they are being tracked by Google FLoC.

With more and more attention to digital privacy, the era of Cookie has entered the second half, and one day, Cookie technology will retire from the stage of history, just like the previous Flash.

The above is a sample analysis of Google's FLoC algorithm. Have you learned any knowledge or skills? If you want to learn more skills or enrich your knowledge reserve, you are welcome to follow the industry information channel.

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