文章基本信息

标题：Web Mining in Search Engines for Improving Page Rank
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作者：Sadik Khan ; Yashpal Singh ; Ajay Kumar Sachan 等
期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2015
卷号：5
期号：4
页码：13-16
出版社：International Journal of Soft Computing & Engineering
摘要：An application of web mining can be seen in the case of search engines. Most of the search engines are ranking their search results in response to users' queries to make their search navigation easier. In this research, a survey of page ranking algorithms and comparison of some important algorithms in context of performance has been carried out.So this kind of problem is actual need of this proposed research work. One of the major problems for automatically constructed portals and information discovery systems is how to assign proper order to unvisited Web pages. Topic-specific crawlers and information seeking agents should try not to traverse the off-topic areas and concentrate on links that lead to documents of interest. In this chapter, we propose an effective approach based on the relevancy context graph to solve this problem.Some commonly used link algorithms are page rank, HITS and Weighted Page Content Rank. Most of the search engines are ranking their search results in response to user’s queries to make their search navigations easier. In this paper we give a study of page ranking algorithms and description about Pagerank , HITS, based on web content mining and structure mining that shows the relevancy of the pages to a given query is better determined, as compared to the Page Rank and HITS
关键词：Web Mining ;Data mining; HITS; Search Engines;web content; Page rank; Web Logs; web structure mining; web;content mining.