In this paper we give a survey of page ranking algorithms and description about Weighted Page Content Rank (WPCR) 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 Weighted Page Rank algorithms. | ISSN:2249-5789 Gurpreet Kaur et al , International Journal of Computer Science & Communication Networks,Vol 3(2), 105-110 A SURVEY- LINK ALGORITHM FOR WEB MINING Gurpreet Kaur , Research Scholar, Dept. of CSE, ., Fatehgarh Sahib (Punjab),India ggill208@ 1 Shruti Aggarwal , Assistant Professor, Dept. of CSE, ., Fatehgarh Sahib (Punjab), India shruti_cse@ 1 Abstract- Web mining is the most active area where the research is going on rapidly. Web mining is the integration of information gathered by traditional data mining methodologies and techniques with information gathered over the World Wide Web. Based on the information gathered over the WWW web mining is categorized into three: Web content mining, Web structure mining and Web usage mining. In search engines web mining application can be seen. 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 survey of page ranking algorithms and description about Weighted Page Content Rank (WPCR) 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 Weighted Page Rank algorithms. Keywords- Web mining, web content, Page rank, Weighted Page rank, weighted page content rank, web structure. I INTRODUCTION The World Wide Web is the collection of information resources on the Internet that are using the Hypertext Transfer Protocol. It is a repository of many interlinked hypertext documents, accessed via the Internet. Web may contain text, images, video and other multimedia data. In order to analyze such data, some techniques called web mining techniques are used by various web applications and tools. Web mining describes the use of data mining techniques to automatically discover Web documents and services, to extract information from the Web resources and to uncover .
