The Power of Google's PageRank Algorithm
The original PageRank paper from 1998 continues to be heavily cited today due to its revolutionary impact on how we search for information online and its ease-of-use for developers looking for solutions to their problems.
Dec. 25, 2022 6:19AM
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The power of the internet has been revolutionized by the search engine giant, Google. Their search algorithm, known as PageRank, was first published in 1998 and has since been cited 17,139 times. This algorithm is responsible for the way we find information online today. Google’s success with this algorithm has led to other machine learning algorithms being developed over the years. One such example is ResNet which was published in 2016 and has since been cited 146,746 times. This begs the question: why are these machine learning algorithms still being so heavily cited? According to experts in the field, it could be because machine learning is still an immature field and that many of these algorithms are solving problems that have never been solved before. It could also be due to how easy they are to understand and use - a factor that can often lead to a high number of citations even if the work itself isn't particularly deep or revolutionary. It's clear that there is still much progress to be made in terms of developing new machine learning algorithms but it's also evident that Google's PageRank algorithm remains one of the most powerful tools available today when it comes to searching for information online.