Ranking WebPages Using Web Structure Mining Concepts

With the rapid growth of the Web, users get easily lost in the rich hyper structure on the web. Providing relevant information to the users to supply to their needs is the primary goal of the owners of these websites. Web mining is one of the techniques that could help the websites owner in this direction. Web mining was categorized into three categories such as web content mining, web usage mining and web structure mining. Web structure mining plays an important role in this approach. Two page ranking algorithms such as PageRank and Hyperlink-Induced Topic Search (HITS) are commonly used in web structure mining. Both algorithms treat all links equally when distributing rank scores. A comparison between both algorithms was discussed in this paper as well. Ranking WebPages is an important mission as it assists the user look for highly ranked pages that are relevant to the query. Different metrics have been proposed to rank web pages according to their quality, and a brief discussion of the two prominent ones was conducted in this paper also. Key-Words: Web Mining, Web Content Mining, Web Usage Mining, Web Structure Mining, HITS, PageRank, Authority and Hubs.