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The Penguin algorithm was created to eliminate this type of abuse. At the time, Google clarified its definition of a "bad" link: “Any links intended to manipulate a site’s ranking in Google search results may be considered part of a link scheme.” With Penguin, it wasn't the quantity of links that improved a site's rankings but the quality.
The 2012 Google Penguin attempted to penalize websites that used manipulative techniques to improve their rankings on the search engine. [30] Although Google Penguin has been presented as an algorithm aimed at fighting web spam, it really focuses on spammy links [ 31 ] by gauging the quality of the sites the links are coming from.
PageRank (PR) is an algorithm used by Google Search to rank web pages in their search engine results. It is named after both the term "web page" and co-founder Larry Page . PageRank is a way of measuring the importance of website pages.
Google PageRank (Google PR) is one of the methods Google uses to determine a page's relevance or importance. Important pages receive a higher PageRank and are more likely to appear at the top of the search results. Google PageRank (PR) is a measure from 0 - 10. Google PageRank is based on backlinks.
One popular method for improving rankings is to increase the perceived importance of a document through complex linking schemes. Google's PageRank and other search ranking algorithms have been subjected to such manipulation. TrustRank seeks to combat spam by filtering the web based upon reliability.
Personalized search is a web search tailored specifically to an individual's interests by incorporating information about the individual beyond the specific query provided. There are two general approaches to personalizing search results, involving modifying the user's query and re-ranking search results. [1]
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