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General Information
    • ISSN: 1793-8244 (Print)
    • Abbreviated Title:  J. Adv. Comput. Netw.
    • Frequency: Semiyearly
    • DOI: 10.18178/JACN
    • Editor-in-Chief: Professor Haklin Kimm
    • Executive Editor: Ms. Cherry Chan
    • Abstracting/ Indexing: EBSCO, ProQuest, and Google Scholar.
    • E-mail: jacn@ejournal.net
    • APC: 500USD
Professor Haklin Kimm
East Stroudsburg University, USA
I'm happy to take on the position of editor in chief of JACN. We encourage authors to submit papers on all aspects of computer networks.

JACN 2013 Vol.1(2): 110-114 ISSN: 1793-8244
DOI: 10.7763/JACN.2013.V1.23

On the Improvement of Weighted Page Content Rank

Seifedine Kadry and Ali Kalakech

Abstract—The World Wide Web has become one of the most useful information resource used for information retrievals and knowledge discoveries. However, Information on Web continues to expand in size and complexity. Making the retrieval of the required web page on the web, efficiently and effectively, is a challenge. Web structure mining plays an effective role in finding or extracting the relevant information. In this paper we proposed a new algorithm, the Simplified Weighted Page Content Rank (SWPCR) for page rank, based on combination of two classes of Web mining "Web structure mining" and "Web content mining”. This algorithm will be an enhancement to the well-known Page Rank algorithm by adding to this algorithm a content weight factor (CWF) to retrieve more relevant page.

Index Terms—Web mining, PageRank, weighted PageRank, simplified weighted page content rank.

S. Kadry is with the Engineering and Technology school, American University of the Middle East, Kuwait (e-mail: skadry@gmail.com).
A. Kalakech was with the Arts, Sciences and Technology University, Lebanon (e-mail: alikalakech@hotmail.com).


Cite:Seifedine Kadry and Ali Kalakech, "On the Improvement of Weighted Page Content Rank," Journal of Advances in Computer Networks vol. 1, no. 2, pp. 110-114, 2013.

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