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General Information
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2013 Vol.3(4): 372-375 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2013.V3.341

An Effective Technique for Context – Based Digital Collection Search

M. Thangaraj and V. Gayathri
Abstract—At present the major issues in searching digital collections are (a) topic diffusion: results returned by a keyword based search, fall into multiple topic areas, which are not interested to users; (b) there is no effective scoring mechanism; so the users are forced to scan a large result set, which leads them to miss the important ones. In order to help the users, we propose a technique, NCBS (New Context Based Search). This approach uses the data structures such as B+-Tree and an inverted list. The extensive study shows that the proposed approach effectively controls the diversity of output topics, reduces the size of the search results, and has better performance than the existing method.

Index Terms—Context–Based Search (CBS), digital library, b+-tree, inverted list, digital collection.

The authors are with Department of Computer Science, Madurai Kamaraj University, Madurai, TN, India (e-mail: thangarajmku@yahoo.com, gayathrivengatmku@yahoo.com).


Cite:M. Thangaraj and V. Gayathri, "An Effective Technique for Context – Based Digital Collection Search," International Journal of Machine Learning and Computing vol.3, no. 4, pp. 372-375, 2013.

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