Improving document relevancy using integrated language modeling techniques

This paper presents an integrated language model to improve document relevancy for text-queries. To be precise, an integrated stemming-lemmatization (S-L) model was developed and its retrieval performance was compared at three document levels, that is, at top 5, 10 and 15. A prototype search engine...

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Bibliographic Details

Main Authors:	Balakrishnan, Vimala, Humaidi, N., Lloyd-Yemoh, E.
Format:	Article
Published:	Faculty of Computer Science and Information Technology, University of Malaya 2016
Subjects:	HF Commerce QA75 Electronic computers. Computer science
Online Access:	http://eprints.um.edu.my/18453/ https://doi.org/10.22452/mjcs.vol29no1.4
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