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A Hybrid Context Based Approach for Web Information Retrieval

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International Journal of Computer Applications
© 2010 by IJCA Journal
Number 7 - Article 5
Year of Publication: 2010
Authors:
W. Aisha Banu
Dr. P. Sheikh Abdul Kader
10.5120/1493-2010

Aisha W Banu and Dr. Sheikh Abdul P Kader. Article:A Hybrid Context Based Approach for Web Information Retrieval. International Journal of Computer Applications 10(7):25–28, November 2010. Published By Foundation of Computer Science. BibTeX

@article{key:article,
	author = {W. Aisha Banu and Dr. P. Sheikh Abdul Kader},
	title = {Article:A Hybrid Context Based Approach for Web Information Retrieval},
	journal = {International Journal of Computer Applications},
	year = {2010},
	volume = {10},
	number = {7},
	pages = {25--28},
	month = {November},
	note = {Published By Foundation of Computer Science}
}

Abstract

Information retrieval mechanisms from the web are a great need of the hour as the amount of the content is growing dynamically every day. There are many algorithms which have been proposed in literature mainly relying on the output of the search engines. These algorithms are either content based or snippet based and perform a clustered outcome re-ranking of the content for the user. This work proposes a hybrid approach to content clustering that combines the best of the web information retrieval methods and also uses the personal preference information of the users modeling a wide range of contexts. This work introduces a context mechanism of the users in the overall process and presents taxonomy of the methods to organize the output of the search engines. Experimental results are promising and show that this approach has great promise for a wide range of queries.

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