A Hybrid Page Rank Algorithm using Content and Link Based Algorithms
Madhurdeep Kaur · 2014
World Wide Web (WWW) is a huge repository of data. It has become one of the most important media to store, share and distribute information. The fast growth of the internet and the World Wide Web, results in network congestion and server overloading. Web Mining is a challenging activity that aims to discover new, relevant and reliable information and knowledge by investigating the web structure, its contents and its usage. Web search engines are the main application of Web Mining. Various page ranking algorithms are used by them, in order to rank their search results. In this paper, we propose a Hybrid Page Rank (HPR) algorithm which is based on both content and link structure of the web pages. The main aim of this research is to discover an efficient approach so that users can get the relevant results from the web search engines.