TrustRank

TrustRank is a search engine optimization (SEO) algorithm that was developed by researchers at Stanford University in 2003. It was designed to improve the accuracy and relevance of search results by identifying and ranking websites that are trustworthy and authoritative.

TrustRank works by using a combination of human input and automated algorithms to evaluate the trustworthiness of websites. It begins with a seed set of trusted websites, which are identified by human reviewers. The algorithm then follows links from these trusted websites to other sites and assigns a trust score to each site based on the trustworthiness of the sites it links to.

The goal of TrustRank is to improve the quality of search results by identifying and ranking websites that are trustworthy and authoritative. It is designed to reduce the visibility of spam and low-quality websites, which can often rank highly in search results due to the use of spammy techniques.

Although TrustRank was initially developed as a standalone algorithm, it has since been incorporated into other search algorithms, including Google’s PageRank algorithm. It is an important factor in the ranking of websites in search results and is considered to be a key component of SEO.

In conclusion, TrustRank is a search engine optimization algorithm that was developed to improve the accuracy and relevance of search results by identifying and ranking websites that are trustworthy and authoritative. It uses a combination of

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