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Study and analysis of category based PageRank method
Wireless Networks ( IF 2.1 ) Pub Date : 2021-04-15 , DOI: 10.1007/s11276-021-02617-y
Utkarsh Jain , Ayush Mishra , B. Jaganathan , Pankaj Shukla

Internet connectivity is now considered to be a basic human right and in this era of information technology, more efficient ways of browsing the web are being found. The most popular search engine, Google uses its ‘Page Rank Algorithm’ for its searches. In this paper, we aim to find out a more efficient way of searching the web and better organising the search result based on the categories of the pages. The results of the proposed algorithm are compared with the existing Page Rank algorithms, which include the original PageRank Algorithm and a Weighted PageRank Algorithm. The results obtained in this paper have been experimentally compared with the data of the above-mentioned algorithms using comparison graphs.



中文翻译:

基于类别的PageRank方法的研究与分析

互联网连接现在被认为是一项基本人权,在这个信息技术时代,人们发现了更有效的浏览网络方式。Google是最受欢迎的搜索引擎,它使用“网页排名算法”进行搜索。在本文中,我们旨在找到一种更有效的网络搜索方法,并根据页面的类别更好地组织搜索结果。将该算法的结果与现有的Page Rank算法进行比较,其中包括原始的PageRank算法和加权PageRank算法。本文使用比较图将本文获得的结果与上述算法的数据进行了实验比较。

更新日期:2021-04-15
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