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TrustRank algorithm

TrustRank is a ranking algorithm based on link relationship that has attracted more attention in recent years. TrustRank can be translated as "trust index".
The TrustRank algorithm originally came from a joint research conducted by Stanford University and Yahoo in 2004 to detect spam websites, and applied for a patent in 2006. The inventor of TrustRank algorithm also published a special PDF file to explain the application of TrustRank algorithm. Interested readers can download PDF files at the following website: //www.vldb.org/conf/2004/Rs15P3.PDF
The TrustRank algorithm was not proposed by Google, but because Google has the largest market share and TrustRank is also a very important factor in Google's ranking, some people mistakenly believe that TrustRank was proposed by Google. What's more confusing is that Google once applied for TrustRank as a trademark, but the TrustRank in the TrustRank trademark refers to Google's method of detecting websites containing malicious code, rather than the trust index in the ranking algorithm.
TrustRank algorithm is based on a basic assumption: good websites（ Beijing website production ）Very few links to bad websites. On the contrary, the statement that bad websites seldom link to good websites is not true. On the contrary, many spam websites will link to websites with high authority and high trust index, trying to improve their trust index.
Based on this assumption, if we can select the websites that can be trusted 100%, the TrustRank of these websites will be rated as the highest, and the websites linked to by the websites with the highest TrustRank will be very high even though the index decreases slightly. Similarly, the trust of the third tier websites linked by the second tier trusted websites continues to decline. For various reasons, a good website will inevitably link to some junk websites. However, the closer it is to the first tier website, the higher the trust index will be. The farther it is to the first tier website, the lower the trust index will be. In this way, through the TrustRank algorithm, we can calculate the corresponding trust index for all websites. The farther away from the first tier website, the greater the possibility of becoming a spam website.
To calculate the TrustRank value, first select a batch of seed websites, then view the websites manually and set an initial TrustRank value. There are two ways to select a seed website. One is to select the website with the most exported links, because the TrustRank algorithm calculates the decay of the index with the exported links. Exporting a website with many links can be interpreted as a relatively high "reverse PR value" in a sense.
Another way to choose a seed website is to choose a website with a high PR value, because the higher the PR value, the greater the probability of appearing on the search results page. These websites are the ones that the TrustRank algorithm pays most attention to and need to adjust their rankings. Those pages with low PR values are also ranked very low without the TrustRank algorithm, so it is not meaningful to calculate TrustRank.
According to the calculation, select about 200 websites（ High end website construction ）As a seed, you can calculate the TrustRank value of all websites more accurately.
There are two ways to calculate the formula that TrustRank decreases with the link relationship. One is that it decays with the number of links, that is, if the TrustRank index of the first layer of pages is 100, the second layer of pages decays to 90, and the third layer decays to 80. The second calculation method is to allocate the TrustRank value according to the number of exported links. That is, if the TrustRank value of a page is 100 and there are five exported links on the page, each link will pass 20% of the TrustRank value. Attenuation and allocation are usually used together. The overall effect is that the TrustRank value gradually decreases with the increase of link hierarchy. After the website page and TrustRank value are obtained, the ranking can be affected in two ways. One is to re adjust the ranking of multiple pages selected by the traditional ranking algorithm according to the TrustRank value. The other is to set a minimum TrustRank value threshold. Only the pages that exceed this threshold are considered to have enough quality to enter the ranking. The pages below the threshold will be considered as garbage pages and filtered out from the search results.
Although the TrustRank algorithm was originally used to detect garbage, the concept of TrustRank is more widely used in current search engine ranking algorithms, often affecting the overall ranking of most websites. The TrustRank algorithm was originally targeted at the page level. Now in search engine algorithms, the TrustRank value is also usually expressed at the domain name level. The higher the trust index of the entire domain name, the stronger the overall ranking ability.

TrustRank algorithm

Date：2012-11-03 Source: Shangpin China Type: website encyclopedia
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TrustRank algorithm

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