How Google handles browser cheating

Source http://groups.google.com/group/csew

Preface:
Zac
I fully agree with this view that Google is adding more user behavior methods to its search ranking algorithm.
I have been understanding and researching Google for a long time and have a basic understanding of Google's search behavior:
Google's ranking algorithm is not limited to any factor, nor does it ignore any factor, especially natural factors.
Many people may laugh at this and think it is empty talk. Then, as a developer, I totally think it is wise to adopt such a strategy.

The cornerstone of introducing more user behavior is Google Toolbar,
This is what Google recently spent a lot of money bundling on a Dell machine.
What can it do? Statistics on users' webpage viewing behaviors.

What is a bridge page? How to cheat on the bridge page?
A bridge page is a page on a third-party website, with a large number of keywords piled up, so that the page is placed in the front of the search engine, such as the first page. Then, the redirection code is injected into the bridge page, but the user actually goes to another page.
Here, third-party websites are generally some blogs that allow some conversion to HTML code and JavaScript code, including blog.donews.com.

Search engine helplessness:
Baidu relies mainly on manual anti-cheating and is inferior to Google in automatic website blocking. However, in the above cheating method, Baidu did not dare to seal a third-party website, such as blog.donews.com, because it is innocent.
Baidu does not dare to manually seal the target website because it may be innocent.
(Someone maliciously planted it, not what it wants)

This kind of cheating is very prevalent in Baidu, but it is almost extinct in Google.
Http://www.baidu.com? Ie = gb2312 & BS = % CF % E0 % C9 % F9 % D4 % da % CF % DF % B2 % a5 % B7 % C5 & sr = & Z = & CL = 3 & F = 8 & WD = % C1 % F5 % B5 % C2 % BB % Aa % CF % E0 % C6 % AC & Ct = 0
Top: http://qoito.blogbus.com/files/1142761371.htm
Directed to: http://mms.zzling.com /?

This means that many of the hot and abnormal keywords are filled by the bridge pages. In other words, Baidu is being raped.

How does Google deal with it?
Two methods can be imagined:
Method 1:
Analyze the redirection code on the web page, and reduce the weight of the suspicious redirection code.
Method 2:
By analyzing user behavior, you can reduce the weight of a page that stays for no more than N milliseconds.

Method 1 is feasible, but cannot completely solve the problem. The reason is that Google does not analyze embedded JS and does not pay much attention to JS itself. Cheating experts can write complicated code to cheat Google.

The valid method I can believe is Method 2:
Analyzes user behavior. Spam is used to identify pages that have stayed for no more than N milliseconds.

The better algorithm we can imagine is:
If page a is from the search engine, start the following algorithm:
If page a is browsed by user a and does not exceed n ms, it is directed to page B immediately. ID
A --> B is the bridge page spam.
If the number of tags is greater than N, N can be 3, and different IP addresses are used, the weight of page A can be reduced, but page B should not be moved.

Here, downgrading rather than blocking is safe and reliable, based on the following considerations:
1) Competitors use this vulnerability to block them.
2)
Page A is browsed, but every time it is ignored by the user, it should be an unimportant spam page.
3) page B cannot be blocked because page B may be innocent.

As mentioned above, the cornerstone of this method is that Google
Toolbar, which is used to measure users' natural behaviors.
Baidu also has Baidu
Toolbar, because the above algorithm does not need to be effective based on massive data statistics, even if it is based on Baidu
The current toolbar installation volume can also be performed.

In addition, Google analytis and other products are also the source of user data.