Web Mining in Search Engines for Improving Page Rank
Sadik Khan1, Yashpal Singh2, Ajay Kumar Sachan3
1Sadik Khan, Research Scholar, Bhagwant University, Ajmer, India.
2Dr. Yashpal Singh, Assoc. Prof. & HOD Department of CS, Bundelkhand Institute of Engineering & Technology, Jhansi, India.
3Dr. Ajay Kumar Sachan, Professor & Director, Radharaman Institute of Technology & Science, Bhopal, India.
Manuscript received on August 17, 2015. | Revised Manuscript received on August 28, 2015. | Manuscript published on September 05, 2015. | PP: 13-16 | Volume-5 Issue-4, September 2015 . | Retrieval Number: D2681095415/2015©BEIESP
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©The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/

Abstract: 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.
Keywords: Web Mining ,Data mining, HITS, Search Engines, web content, Page rank, Web Logs, web structure mining, web content mining.