Search engine's trust ranking and anti-trust ranking algorithm

As we all know, search engines show search results (Serps) by adding a lot of ranking algorithms to the candidate results, and then sorting the candidate results and finally showing them to the user. We have previously published some ideas on the site weight algorithm, see "original article rankings than reproduced reasons: weight gain" and "Lanzhou SEO again talk about site weight gain" in many rankings algorithm, the major search engines will join the two algorithms is the Trust ranking algorithm and the inverse Trust ranking algorithm.

What is the Trust ranking algorithm?

The Trust ranking algorithm (TrustRank) was first presented in 2004 by Stanford University's Gyongyi, Zoltan and Garcia-molina, and published the relevant paper combating Web Spam with TrustRank.

The core point of view is: High quality web sites on the Internet will be in some form (friend chain or single chain, etc.) linked, through the iterative algorithm and other ranking algorithms to get from the trust site source (trusted seeds) information transmission has a higher weight and ranking. Thus highlighting the reliability of Serps and improving the search user experience.

　　

On the trust ranking algorithm, there are many related articles on the Internet. This research is more or English articles, I summed up these articles as two words:

Get a connection from a trusted Web site source

Link to a trusted Web site source

These two words should be well understood, especially the first sentence. Getting friends and backlinks from the domain names at the end of. gov and. Edu are the things that our SEO practitioners are doing every day. What is the meaning of the second sentence? That is, if I want to go out from the outside of the site, then also try to link to the trust site source.

The bottom line is this: the closer you are to trusting your site, the closer you become to trusting your site.

What is the anti-trust ranking algorithm?

Anti-trust ranking algorithm (Reserse-trustrank), the inverse ranking algorithm is mainly for spam information. In the early days of SEO technology driven, mass outside the chain of information and advertising information has become a lot of SEO daily homework. For the first time in this way, you have been labeled "Spam".

The core of the anti-trust ranking algorithm is that the search engine will have a measure of the spam and outbound links in your site. When combined with some other algorithms, the station and outside the station of the spam information than a certain ratio, your site is officially identified as a spam source, and thus be down the right or K station.

This ratio we think has to do with the size of the site, included, authoritative and search engine trust degree. such as Sina's website, the proportion is undoubtedly a very high numerical value, even if in a certain period of time is full of garbage information, search engines can tolerate; small as just built site, if this ratio higher than a certain value, the end is very miserable.

What needs to be reminded is that the topic of the Forum, reply, signature, as well as the content of the blog posts and messages, can be used to determine the standard spam information. For example, a blog site, in order to attract the popularity of each message to be approved, so that the blogger and outsiders see this blog is very angry, but in the eyes of the search engine, this blog is undoubtedly a den of filth ( The premise here is that the link in the message points to a spam source or a site closer to the source of spam information.

So what can we do to solve the problem? The answer is nofollow tags, and strict auditing. We can release the valuable comments and links to the normal website, but for the formatted reply and the obvious content factory-type website, we must reject the message firmly. Nofollow link The lethality is too big, everybody uses cautiously, uses the bad light the person not to be popular, the heavy person own website down right. A foreign large business-to-business web site is a good example.

As with the site Trust ranking algorithm, reducing the impact of the site's anti-trust algorithm is also two words:

Do not get the connection from the Junk information source

Do not link to any junk information source

The above trust rankings and the anti-trust ranking algorithm will affect both the site level (domain-level) and the page level (Url-level) rankings.

This article by Lanzhou website construction and Lanzhou seo-Oriental Huivan Optimization Team Yangfan Aimaryang original, reprint please keep the link: http://www.easthv.cc/blog/lanzhouseo/trustrank-and-reserse-trustrank/