Google’s Algorithm Revolutionizes Searching

Google has revolutionized the way we search for information. The original PageRank paper, published in 1998, has been cited 17,139 times to date and is the algorithm powering Google search. Even more impressive is the ResNet paper, published in 2016, which has been cited 146,746 times to date. These numbers are astounding when you consider that other algorithms and papers on similar topics have not seen nearly as much success or recognition. This begs the question of what makes these two papers so special? The answer lies in their revolutionary approach to searching for information. The PageRank algorithm was developed by Larry Page and Sergey Brin at Stanford University and it revolutionized how webpages were ranked by using a link-based system rather than a keyword-based system like its predecessors. This allowed for more accurate results when searching for something online because it was able to take into account the context of a page rather than just looking at keywords alone. The ResNet paper took this concept even further by introducing deep learning techniques into the equation. Deep learning allows computers to learn from data without being explicitly programmed and this made it possible for computers to recognize patterns in data that would otherwise be impossible with traditional methods of computing. This opened up new possibilities for artificial intelligence (AI) applications such as facial recognition and natural language processing (NLP). It is no wonder then why these two papers have been so successful; they have changed the way we search for information forever! It seems almost weird that one algorithm can be so influential but it goes to show how powerful technology can be when used correctly. We may never know exactly why these two papers have been so successful but one thing is certain; they will continue to shape our lives long into the future!