Showing posts with label Off Page. Show all posts

Qualitative factors

Posted on Tuesday, 25 June 2013 by Lara Klein


Online SEO Tutorial | Articlezeneu

Not every backlink has the same quality. Even with the original PageRank algorithm backlinks from websites with a high PageRank were rated higher than those with low PageRank. But since even the PageRank is still relatively easy to manipulate, some other factors are still sought.

Trust Rank

The Trust Rank is a term introduced by Yahoo algorithm based on a manual selection of good websites. These assigned a so-called TrustScore they turn pass on Linked Sites. This is especially the search engine spam are limited.

Properties of Backlinks

Backlinks have a different power. This power is made up of several factors that affect the page on which the link is placed. These include PageRank, TrustRank, link popularity, etc.

Posted in , , , | Leave a comment

Trust Rank

by Lara Klein


Online SEO Tutorial | Articlezeneu

p align="justify">A concept that nowadays a lot of importance is attached, the Trust Rank. Trust means the trustworthiness of a page with respect to the information provided in this context and their resistance to webspam.
Search engines have a vested interest, only users relevant to their search results tailored to deliver. They are constantly confronted with the problem of aggressive online marketing methods exposed to, for example, through automated webspam comment.

Disambiguation

Before the Trust Ranks discusses the implementation of the first term must be clearly identified. In general, is in Combating Web Spam with Trust Rank algorithm presented meant when Trust Rank is mentioned. One of the co-authors of this paper was Jan Pedersen, a Yahoo! employee a year later the patent application link-based spam detection submitted. therefore It is not in the Trust Rank to a patent filed by Google. It is likely, however, that Google uses a very similar principle to the Trust Rank. Caused some confusion in this regard, the fact that Google is almost at the same time held the trademark on the term "Trust Rank", but that an anti-phishing filter called. See also the following video from Matt Cutts :



Algorithm

The basic idea of the Trust Ranks is the division into good and bad websites. In good websites mean those that are regularly maintained and monitored their content. It is not differentiated from these pages within a domain. Good websites are also notable in that it with very low probability on bad sites link, but with a high probability of high-quality pages. Bad websites are spam pages that follow as illegal or fraudulent or exist solely for the purpose of search engine manipulation. The Trust Rank now represents a criterion reference to which good and bad websites can be identifed:

  • Good website> high Trust Rank
  • "Bad / Spammy" Website> Low Trust Rank
The problem at this point is the inability to make the distinction completely automated in good and bad sides. Therefore, the Trust Rank algorithm is based on a so-called oracle function , in which a human author makes this distinction. Since it is impossible for an ever-growing number of websites, each website individually equip with a value for the Trust Rank, which is a PageRank -like algorithm used inheritance principle. This first one is automated pre-selection of sites hit that should have as many good websites. For this pre-selection, for example, the PageRank serve as a selection criterion. The selected sites are categorized as seed and get called by a man known as a Trust score assigned. This TrustScore is essentially the value of the Trust ranks and then as the PageRank passed on linked websites. Through the above-mentioned property of good websites, with only a very low probability to bad, but a high probability of good websites to link the Trust Rank but provides greater security against tampering as the PageRank. However, since it is not assumed that all linked pages are also the same content monitoring and care subject as the original seed, is a damping factor in the inheritance of Trust Ranks used. The following figure verdeulicht this statement:


The Concept of trust rank

The Trust Rank - Conclusion

The Trust Rank is an effective approach to minimize proliferation of spam in search engine results. Furthermore, it can also be used as a ranking factor, as it will be just like the PageRank iteratively and can assign a value to all pages of the Internet, which in turn creates a metric that allows a comparison of different websites. A high Trust Rank may therefore be a better ranking result. This can be achieved by being linked to from a page with high trust.

The problem with the use of the Trust Rank algorithm is the one choosing the right seed to other websites and the calibration of the different parameters (such as the damping factor).

Finally, once the most important facts about Trust Rank in brief:

  • The Trust Rank is used to distinguish between good and bad (in the sense of spammy) sites
  • The algorithm for calculating the Trust Ranks based on a manullen selection of trusted sites, one of which is passed on from Trust
  • Analogous to PageRank, there is also the Trust Rank the principle of inheritance muted
  • The Trust Rank may not be displayed, but it is likely that he has an influence on the ranking

Posted in , , , | Leave a comment

Quantitative factors

Posted on Monday, 24 June 2013 by Lara Klein


Online SEO Tutorial | Articlezeneu

Quantitative factors are based on the unweighted number of backlinks to a site. The original PageRank algorithm is the best example for this kind of factors. There are three key metrics in this area:


  • Link Popularity
  • Domain Popularity
  • IP Popularity

Using these figures to one for an entire domain , on the other, but also for individual sub-pages of a domain . Figures for entire domain resulting from the sum of the individual values ​​of the indicators all pages including the home page. In the following explanations is to simplify each of the term "web" is used.


Link Popularity


The term link popularity refers to the number of all the backlinks that point to a website. True to the motto: "Many links mean a high reputation" applies here: "The larger this number is, the better it is for the ranking of a website."


However, this figure is not considered particularly meaningful as a so-called site-wide links is now nothing unusual. A concrete example is the so-called blog Rolles. Here, a blogger linked, for example, a friend or other topics relevant blog of the navigation of his own blogs. This is the link to appear every bottom of his blog . Each of these links flows in link popularity with a. The origin of thought, a link is a special recommendation for further information diminishing role , because obviously the set in the blogroll link is not specific to the contents of a base.


Domain Popularity


The domain popularity is a measure that indicates the number of domains linked to a website. It does not matter how many times this site was linked from the pages of a domain. In order to defuse the problem of linking each base significantly. Also for the domain popularity is: the higher the ratio the more positive the impact on the ranking.


IP Popularity


Verschärftere a form of domain popularity is the IP Popularity dar. This measure all IP addresses are counted, from which links are placed on a website. This number was due to the fact that most web hosts a certain, limited IP range have available and make these available for different domains. It is possible that different domains are hosted on the same IP address.


Could be to increase the popularity of a website domain you now get the idea, simply register a number of different domains at a hoster and from these to the target site to link to. This would obviously manipulating the search engine algorithms take place because the set would link primary goal is to improve the ranking of the target website and thus does not actually possess value in terms of reputation increase.


The IP popularity there are in various forms. The version presented above is the least restrictive, since it merely requires that the IP addresses differ in any bit . In other variants, for example, a complete class C network (the first three octets of an IPv4 address) is chosen as the basis. However, in each variant also applies here, the principle that a high IP popularity has a positive impact on the ranking.


Conclusion


The quantitative factors of optimization Off Page give a rough overview of the link level or the popularity of a website on the Internet. The problem with these figures is the danger of manipulation. Although the manipulation attempts are hampered by restrictive perspectives, but by no means ineffective. There are, for example, already offers special hosting , domains which are hosted on different IPs of hundreds.


Another problem with these figures is that they unjustified discrimination may result. The simplest example of this are two different domains, the report on a common theme and are often mutually link - for example, because the other domain provides further information. In this case, that would be IP or domain popularity too restrictive , since it would be appropriate to evaluate each link, even if it comes from the same domain.


Because of these problems, one can assume that these metrics a first estimate of the Off Page optimization provide a website, but still not be the measure of all things.

Posted in , , , | Leave a comment
Powered by Blogger.