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Study on Searching and Ranking Algorithms over World Wide Web
Author Name : Sumit Chhabra
ABSTRACT
The world is enclosed by massive amounts of information and extracting the essential data from such a massive amount of data is quite difficult. The internet includes raw data, which must be mined to convert it into knowledge. When a clientinputs a search query into a search engine, the outcomes are returned in a specific order depending on the significance of the document generated by the search engine. The best approach to put yourself on a scale is to use a ranking algorithm. Every day, the amount of information and expertise available on the internet grows. The ability of the search engine to give the majorappropriate content to the consumer. Stuff's becoming more difficult to sort through all of it without any help. However, finding exactly what the consumer wants is incredibly tough. This study aimed to assess and assess the most popular and successful search engines. The keywords were utilized in the title tag, header, or even the keywords that resembles the real content in the universal resource locator. By examining the quality of a website and computing the number of links related to it, the page rank(PR) algorithm calculates a precise assessment of how relevant it is. In this paper comparative analysis based on PR of various techniques is done to obtain the best technique.
Keywords— Page Ranking, Web mining, Ranking Algorithms, Web Content Mining,Web Usage Mining