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...
| Published in: | Malaysian Journal of Computer Science |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Faculty of Computer Science and Information Technology
2016
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84966599713&doi=10.22452%2fmjcs.vol29no1.4&partnerID=40&md5=c6cbb48781ce0da0b37dae5ef6153c9a |