Page Content Rank: An Approach to the Web Content Mining

World Wide Web is a system of interlinked hypertext documents that are accessed via the internet.. However, Information on Web continues to expand in size and complexity. Making the retrieval of the required web page on the web, efficiently and effectively, is a challenge. Web structure mining plays an effective role in finding or extracting the relevant information. I. INRODUCTION: In this paper, I proposed a new algorithm, based on Page Content Rank (PCR), based on structure and content.In the proposed work, a new approach is introduced to rank the relevant pages based on the content and keywords. Methods of web data mining can be divided into several categories according to a kind of mined information and goals that particular categories set: Web structure mining (WSM), Web usage mining (WUM), and Web Content Mining (WCM). The objective of this paper is to propose a new WCM method of a page relevance ranking based on the page content exploration.