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| Content Provider | Springer Nature Link |
|---|---|
| Author | Khennak, Ilyes Drias, Habiba |
| Copyright Year | 2016 |
| Abstract | The difficulty of disambiguating the sense of the incomplete and imprecise keywords that are extensively used in the search queries has caused the failure of search systems to retrieve the desired information. One of the most powerful and promising method to overcome this shortcoming and improve the performance of search engines is Query Expansion, whereby the user’s original query is augmented by new keywords that best characterize the user’s information needs and produce more useful query. In this paper, a new Firefly Algorithm-based approach is proposed to enhance the retrieval effectiveness of query expansion while maintaining low computational complexity. In contrast to the existing literature, the proposed approach uses a Firefly Algorithm to find the best expanded query among a set of expanded query candidates. Moreover, this new approach allows the determination of the length of the expanded query empirically. Experimental results on MEDLINE, the on-line medical information database, show that our proposed approach is more effective and efficient compared to the state-of-the-art. |
| Starting Page | 1 |
| Ending Page | 15 |
| Page Count | 15 |
| File Format | |
| ISSN | 01485598 |
| Journal | Journal of Medical Systems |
| Volume Number | 40 |
| Issue Number | 11 |
| e-ISSN | 1573689X |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2016-09-27 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Medical data management Web intelligence Query expansion Pseudo-relevance feedback Firefly Algorithm Swarm intelligence MEDLINE Health Informatics Statistics for Life Sciences, Medicine, Health Sciences |
| Content Type | Text |
| Resource Type | Article |
| Subject | Health Information Management Information Systems Health Informatics |
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