Ignoring Irrelevant Pages in Weighted PageRank Algorithm using Text Content of the Target PageIgnoring Irrelevant Pages in Weighted PageRank Algorithm using Text Content of the Target Page

The web is expanding day-by-day and people generally rely on search engines to explore the web. The web has created many challenges for information retrieval. Degree of quality of the information extracted is one of the major issue to be taken care of, and current information retrieval approaches need to be modified to meet such challenges. While doing query based searching, the search engines return a list of web documents containing both relevant and irrelevant pages and sometimes show the higher ranking to the irrelevant pages as compared to relevant pages. This paper presents a novel approach to ignore irrelevant pages in weighted pagerank algorithm using text content of the targeted pages. General Terms Web Page Ranking for information retrieval