An Efficient Page Ranking Approach Based on Hybrid Model

World is full of information. The World Wide Web serves as major source of getting such information. Due to the changing nature of web plenty of web pages are deleted and added newly. Every time a surfer searches web using the search engine, data should be fresh and relevant. Retrieving efficient, relevant and meaningful information from these large sources of information is very challenging job. Due to the large size of web, corresponding to any query made by a user number of pages are being retrieved so the result should be ordered in the manner that most relevant web pages is on top of the list. In order to get most relevant pages at top and reduce the problem of theme drift we propose a hybrid approach of Enhanced-Ratio Rank and Page level keyword algorithms.