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KNOWLEDGE BASED ADVISORY SYSTEM TO ANALYZE SEARCH THROUGH DIFFERENT PAGE RANKING IMPLEMENTATIONS
Authors
Manikandan,BVANSS Prabhakar Rao
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Keywords
Artificial Intelligence, Google Search, Links, Hyperlinks, Webpage Content, PageRank, Search Optimizations
Abstract
The usage of gadgets and the web has seen an outburst growth and since internet accessibility has become widespread, the need for information retrieval from the web has become an integral area of focus. Presently search engines like Google have a drastic improvement in performance through the usage of Artificial Intelligence. The web is rich in information to the user and all websites communicate through sets of links and hyperlinks. Since searches provide us with an exploration of information, it is necessary that the content of the web pages which users are getting in the search results is up to date, accurate, and relevant to their needs. Focusing on the searches that provide information about specific content, the sites should not provide misleading information. For dealing with searches like disease symptoms, the users have to be given correct and up to date information. Since pages on the basis of a specific content are innumerable and finding the necessary content manually is impossible, the pages have to be ranked in terms of links directing to the webpage and of those moving out of it. For implementing this we have the PageRank algorithm which is primarily applied by search engines like Google, for providing the users with necessary, accurate, and updated content based on their searches provided. Ranking of web pages is done on the basis of in-links and out-links of it. The ranking is done to identify the most relevant resources with the highest quality among all the relevant resources on the web and other information retrieval systems. The main motive behind PageRank is to provide the relative importance of a page. The PageRank algorithm provides the output as a probability distribution that is used to represent the possibility that a user will arrive at the page through directing and redirecting links. There are different versions of page ranking algorithms and each implementation aims to optimize the idea of the page ranking algorithm. In this paper, we focus on the analysis of different page ranking algorithms to provide the best optimization for searches so that the users get accurate information regarding search results.
IJCRT's Publication Details
Unique Identification Number - IJCRT2006109
Paper ID - 195339
Author type - Indian Author
Page Number(s) - 780-787
Pubished in - Volume 8 | Issue 6 | June 2020
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No Of Downloads - 1364
Author Country - 600061, India, Chennai, Chennai, India, Science & Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
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Manikandan,BVANSS Prabhakar Rao, "KNOWLEDGE BASED ADVISORY SYSTEM TO ANALYZE SEARCH THROUGH DIFFERENT PAGE RANKING IMPLEMENTATIONS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 6, pp.780-787, June 2020, Available at :http://www.ijcrt.org/papers/IJCRT2006109.pdf
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