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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Faculty of Computer Science and Information Technology, University of Malaya
2016
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