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Web page ranking based on fuzzy and learning automata

Published: 27 October 2009 Publication History

Abstract

The main goal of web pages ranking is to find the interrelated pages. In this paper, we introduce an algorithm called FPR-DLA. In the proposed method learning automata is assigned to each web page which its function is determining the weight of hyperlinks between web pages. Also for determining the weight of each web page parameters such as time duration on a web page and the importance of web pages are considered. Time duration on a web page and the importance of web pages are characterized as a fuzzy linguistic variable. The proposed algorithm calculates the rank of each web page as recursive according to the weights of each web page and hyperlinks between web pages. Experimental results show that the proposed method has a considerable efficiency in determining the rank of web pages.

References

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Anari, B., and Meybodi, M. R. A New Method based on Distributed Learning Automata for Determining Web Documents Structure. Proceedings of the 12th Annual International CSI Computer Conference of Iran, CSICC2007, (Tehran, Iran, Feb 20--02, 2007) 2276--2281.
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Cited By

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  • (2015)A Fuzzy Driven Reliability and Relevancy Map for Web Content Search Optimization2015 International Conference on Computational Intelligence and Communication Networks (CICN)10.1109/CICN.2015.233(1211-1215)Online publication date: Dec-2015
  • (2011)A new recommendation algorithm using distributed learning automata and graph partitioning2011 11th International Conference on Hybrid Intelligent Systems (HIS)10.1109/HIS.2011.6122131(351-357)Online publication date: Dec-2011

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cover image ACM Other conferences
MEDES '09: Proceedings of the International Conference on Management of Emergent Digital EcoSystems
October 2009
525 pages
ISBN:9781605588292
DOI:10.1145/1643823
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 October 2009

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Author Tags

  1. fuzzy variable
  2. learning automata
  3. ranking
  4. web mining

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Overall Acceptance Rate 267 of 682 submissions, 39%

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Cited By

View all
  • (2015)A Fuzzy Driven Reliability and Relevancy Map for Web Content Search Optimization2015 International Conference on Computational Intelligence and Communication Networks (CICN)10.1109/CICN.2015.233(1211-1215)Online publication date: Dec-2015
  • (2011)A new recommendation algorithm using distributed learning automata and graph partitioning2011 11th International Conference on Hybrid Intelligent Systems (HIS)10.1109/HIS.2011.6122131(351-357)Online publication date: Dec-2011

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