An Effective Content Based Web Page Ranking Approach
Nidhi Shalya, Shashwat Shukla, Deepak Arora · 2012
Today, web has become a most popular trend in terms of availability of rich contents related to almost every field of life. Nowadays, it is emerged as a most demanding tool for searching and retrieving information over a large repository of web contents. Content or resource searching always has been very important for scientists and research scholars. Today, market is full of different search tools over web having noticeable diversity in terms of functioning and the end search results. Given a query, search tools normally return a large number of relevant web pages. To be more effective, the returned pages must be ranked according to their relevancy with respect to the user’s query. Page Rank and Weighted Page Rank Algorithms give the efficient result but these algorithms are query independent algorithms as these are based on the web structure mining. In order to give more efficient result, this paper presents a new algorithm which considers web structure mining and web content mining towards ranking of web pages in accordance to the relevancy of the user’s query.