Google ranking algorithm change is not in the external chain mainly _it industry

More and more research Goolge rankings of SEO people found that Google's ranking algorithm is now increasingly inclined to increase the user's behavior on the site model. For example, how long do they stay on the site? What pages did they read? Their access path, and so on, is no longer a purely external chain as a reference.

In fact, the idea is not new. In the last one or two years, more and more people have suspected that Google not only consider the site itself optimization and links, but also take into account the user's response on the site.

When Google launched his free log stats service, Google Analytics, I was pretty sure that Google did. Think about why Google is aggressively promoting the use of Google's toolbars. They even paid Dell a lot of money to have the Google Toolbar installed on a Dell-sold computer. This is a very big expense.

If the toolbar does not search for much of the data, Google will not be able to spend such a large price to promote his toolbar. Whenever a user with a Google toolbar is visited, the information is collected by Google.

Even if the user does not use Google Toolbar, the computer will also be set up cookies when they go to Google. The cookie is valid for one year and the user's search is documented. In addition, there are a number of websites that use Google adsense.adsense JavaScript code to track which pages users have visited, how long they have spent on these pages, and so on.

The third way Google can collect user information is the aforementioned Google Analytics. This log analysis software was previously to be paid, Google bought the entire company, and then free this very good service to the webmaster.

Why would Google do that? Obviously, they want to collect the behavior patterns of ordinary users on the site. For example, your website uses the Google Analytics Tracking Analysis service, and when you can analyze user behavior patterns, Google collects this information.

So how does Google rank the site through user behavior patterns? For example, a user directly on the Google homepage to search for a keyword, the user clicked on the first result, and then clicked the browser's return key within five seconds, came to Google homepage again, and then clicked on the third result. Another 30 minutes later, the user returns to the Google homepage again. Then Google could conclude that a third site would provide users with more useful information than the first. If this pattern repeats itself a lot, then Google may be able to swap the rankings of the two sites.

For example, with the Google toolbar, Google can clearly track what pages a visitor sees on a particular site. How long did you stay on those pages? What path does he use to navigate the entire site? This information can tell Google whether ordinary users really like this site? Which pages do you like?

In theory, the site rankings should consider three factors:

1 site itself, that is, the page search engine optimization.

2 link situation, that is, outside the page optimization.

3) users.

So far, search engines have had difficulty collecting user feedback and information. But there are signs that search engines, and Google in particular, are aggressively developing tools to collect such information.

Of course, the user behavior model into the ranking algorithm, it is possible to be used by cheaters, as we are familiar with the Alexa rankings. I know many people improve Alexa rankings by all kinds of cheating methods. A lot of websites know that there is no way to have so much traffic, but the Alexa rankings are very high.

In doing website promotion, we are not difficult to find that many sites in the provision of so-called Alexa promotion services. In fact, Alexa is only a sign of your website traffic, not at all a promotion. Alexa rankings by the front, and your site actual traffic is not equal. If Google takes too much account of user behavior patterns, it may also cause more people to do similar cheating. For example, after searching from different IP addresses, click on their own site, and then never return to the search engine. And all of this can be done automatically with software. So the user behavior pattern and other existing ranking algorithm factors, will certainly be grouped together, so as to achieve a good balance.

Another evidence is that, in Google Talk, when you click on a friend's email address, your clicks are tracked by Google. Is there no reason for that?