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A Roadmap to Integrate Document Clustering in Information Retrieval

A Roadmap to Integrate Document Clustering in Information Retrieval

R. Subhashini, V.Jawahar Senthil Kumar
Copyright: © 2011 |Volume: 1 |Issue: 1 |Pages: 14
ISSN: 2155-6377|EISSN: 2155-6385|EISBN13: 9781613507513|DOI: 10.4018/ijirr.2011010103
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MLA

Subhashini, R., and V.Jawahar Senthil Kumar. "A Roadmap to Integrate Document Clustering in Information Retrieval." IJIRR vol.1, no.1 2011: pp.31-44. http://doi.org/10.4018/ijirr.2011010103

APA

Subhashini, R. & Kumar, V. S. (2011). A Roadmap to Integrate Document Clustering in Information Retrieval. International Journal of Information Retrieval Research (IJIRR), 1(1), 31-44. http://doi.org/10.4018/ijirr.2011010103

Chicago

Subhashini, R., and V.Jawahar Senthil Kumar. "A Roadmap to Integrate Document Clustering in Information Retrieval," International Journal of Information Retrieval Research (IJIRR) 1, no.1: 31-44. http://doi.org/10.4018/ijirr.2011010103

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Abstract

The World Wide Web is a large distributed digital information space. The ability to search and retrieve information from the Web efficiently and effectively is an enabling technology for realizing its full potential. Information Retrieval (IR) plays an important role in search engines. Today’s most advanced engines use the keyword-based (“bag of words”) paradigm, which has inherent disadvantages. Organizing web search results into clusters facilitates the user’s quick browsing of search results. Traditional clustering techniques are inadequate because they do not generate clusters with highly readable names. This paper proposes an approach for web search results in clustering based on a phrase based clustering algorithm. It is an alternative to a single ordered result of search engines. This approach presents a list of clusters to the user. Experimental results verify the method s feasibility and effectiveness.

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