DocumentCode :
3309626
Title :
Web Information Retrieval Using Query Independent Page Rank Algorithm
Author :
Taneja, Harmunish ; Gupta, Richa
Author_Institution :
Dept. of Inf. Technol., M.M. Univ., Ambala, India
fYear :
2010
fDate :
20-21 June 2010
Firstpage :
178
Lastpage :
182
Abstract :
In recent years there has been considerable interest in analyzing relative trust level of the web pages. As the web contains the facts, deceit, opposition and assumptions on the grand scale resulting on which web page do one trust? In this paper an algorithm is proposed which assigns a rank to every document on the web that specify the quality of that document or the relative level of trust one can made on a document. This algorithm is basically using the concept of Page Rank and implemented using C++. The Page Rank algorithm is used in the Google search engine for ranking search results. In this paper we have analyzed the behavior of the proposed algorithm for the different values of moister factor.
Keywords :
Algorithm design and analysis; Computer science; Damping; Design engineering; Information retrieval; Information technology; Prototypes; Search engines; Steady-state; Web pages; Information Retrieval System; Markov Chain; Random Surfer Model; Ranking; Steady State; Web Graph;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Computer Engineering (ACE), 2010 International Conference on
Conference_Location :
Bangalore, Karnataka, India
Print_ISBN :
978-1-4244-7154-6
Type :
conf
DOI :
10.1109/ACE.2010.72
Filename :
5532849
Link To Document :
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