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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 8    
Website: http://www.ijser.org
scirp IJSER >> Volume 3,Issue 8,August 2012
Searching the Most Authoritative & Obscure Sources from the Web
Full Text(PDF, )  PP.1190-1194  
Author(s)
Bharat Bhushan , Narender Kumar 
KEYWORDS
Website, Search Engine, Source Rank tool, Blog, SEO, PR
ABSTRACT
This paper discusses the ways to rank the website using authoritative and obscurity parameters. Website ranking algorithm is leveraging parameters with primary focus on Authoritativeness and relevancy. Additionally, obscurity parameters like Subscriber Counts from Google Reader, Authority Count from Technorati are analyzed to rank a source which is less visible or not too popular or related to a non-famous Zone. This tool viz. source rank tool will be an asset to help the industries working under data extraction using web to rank the sources as per their business needs e.g. a source with low page rank (PR) can be ranked as high if a person who writes the article is an expert in his domain.
References
[1] S. Brin, ‚The Anatomy of a Large-Scale Hypertextual Web Search Engine‛ (1998).

[2] Jon M. Kleinberg , Authoritative Sources in a Hyperlinked Environment, Proceedings of the ACM-SIAM Symposium on Discrete Algorithms, and as IBM Research Report RJ 10076, 1998.

[3] Matt Cutts blog, http://www.mattcutts.com/blog/seeingnofollow-links/

[4] Gyöngyi, Zoltán; Hector Garcia-Molina, Jan Pedersen ‚Combating Webspam with rustRank‛ Stanford University.

[5] www.dmoz.org. Human edited directory of the web.

[6] Gyongyi, Berkhin, Garcia-Molina, and Pedersen,‚Link Spam Detection Based on Mass Estimation‛ technical report , Stanford University, Oct. 31, 2005.

[7] Mohhammad A Tayebi. S. Mehdi Hashemi, Ali Mohades, ‚B2Rank: An Algorithm for ranking Blogs Based on Behavioral Features‛,Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence , IEEE Computer Society Washington, DC, USA.

[8] Lan Nie Baoning Wu Brian D. Davison, A Cautious Surfer for PageRank, Department of Computer Science & Engineering Lehigh University, Bethlehem, USA, 2007.

[9] http://Wikipedia.org/

[10] http://google.co.in/

[11] http://del.icio.us/

[12] http://yahoo.com/

{13] Alexa, http://www.alexa.com/

[14] http://www.dmoz.org

[15] http://www.technorati.com/

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