What is the difference between PageRank and TrustRank?

What is the difference between PageRank and TrustRank?

This score expresses the amount of trust Google feels that page has earned, which determines how highly that page can rank in its search engine. So both PageRank and TrustRank are essentially the same thing: a “trust score.” How do you get a higher trust score?

What algorithm does PageRank use?

link analysis algorithm
PageRanks is a link analysis algorithm and it assigns a numerical weighting to each element of a hyperlinked set of documents, such as the World Wide Web, with the purpose of “measuring” its relative importance within the set.

Who patented TrustRank?

The TrustRank was developed in 2004 by Zoltán Gyöngyi, Hector Garcia-Molina, and Jan Pederson. Until then, there was only one factor to assess the quality of websites, namely the PageRank.

How is PageRank algorithm implemented?


  1. Initialize the PageRank of every node with a value of 1.
  2. For each iteration, update the PageRank of every node in the graph.
  3. The new PageRank is the sum of the proportional rank of all of its parents.
  4. Apply random walk to the new PageRank.
  5. PageRank value will converge after enough iterations.

Is PageRank a machine learning algorithm?

It is well established that a machine learning method such as the Graph Neural Network (GNN) is able to learn and estimate Google’s page ranking algorithm. This paper shows that the GNN can successfully learn many other Web page ranking methods e.g. TrustRank, HITS and OPIC.

Which of the following search engines patented the concept of TrustRank?

Which of the following search engines patented the concept of “Trustrank” as a methodology for ranking web sites & pages? Yahoo!

Which search engine patented the concept of TrustRank?

because Yahoo patented the idea and could exclude Google from using their TrustRank process. It’s worth reading through both patents to understand how different they are from each other. Google TrustRank has to change the rankings of search results instead of finding Webspam like Yahoo TrustRank.

How does Python implement PageRank algorithm?

Random walk method:

  1. Select random graph from python library.
  2. Initialize all the nodes with initial rank value as 0.
  3. Randomly pick source node.
  4. Create list to store neighbors of source node.
  5. Pick node from the list randomly and increment it’s rank.
  6. Check if node is a sink node i.e node having no outgoing edges.

Which is better for SEO PageRank or TrustRank?

When compared to TrustRank, PageRank is an easier SEO metric for which to optimize your website. It’s based strictly on the number of inbound links per page as well as the PageRank of the pages on which these links are published. By attracting more links from high-PageRank pages, you’ll boost your PageRank for those pages.

How does PageRank work on a web page?

PageRank works by giving each web page a zero to 10 PageRank based on the quality and quantity of inbound links the page has. If a web page with a 6 PageRank links out to three other pages, it will transfer 2 PageRank points to each of those three pages.

How did PageRank and TrustRank get their names?

That’s when the industry borrowed a term that one of the search engines has once patented called TrustRank. PageRank now referred to the old toolbar PageRank metric, and TrustRank referred to the actual trust score. That is how the two terms were born and how they got their present day meanings.

Is the Google search ranking algorithm based on trust?

Google hasn’t officially confirmed the use of TrustRank in its search ranking algorithm, though SEO experts agree that Google’s algorithm does in fact measure websites’ trust to determine their rankings. In 2006, Google filed a patent with the United States Patent and Trademark Office (USPTO) for a search ranking algorithm based on trust.