Interactive and Automatic Query Expansion: A Comparative Study with an Application on Arabic
Ghassan Kanaan, Riyad Al-Shalabi, Sameh Ghwanmeh & Basel Bani-Ismail
American Journal of Applied Sciences, Volume 5, Issue 11, pp. 1433–1436 · doi.org/10.3844/ajassp.2008.1433.1436
Abstract
Much attention has been paid to the relative effectiveness of Interactive Query Expansion (IQE) versus Automatic Query Expansion (AQE). This research has been shown that automatic query expansion (collection dependent) strategy gives better performance than no query expansion. The percentage of queries that are improved by AQE strategy is 57% with average precision equal to 43.2. Compared against AQE (collection dependent) strategy, IQE gives better average precision than AQE strategy. The percentage of queries that are improved by best IQE decision is 86% with average precision equal to 44.1. Evaluation process reveals that the value of n in AQE strategy that gave the optimal value of average precision for the whole query set is equal to one.
Licence and reuse
Free to read. This article carries the publisher’s copyright, as printed on it: © 2008 Science Publications. It is free to read; ask us before reusing it.
How to reuse this articleResponses (0)
About this article
Kanaan, G., Al-Shalabi, R., Ghwanmeh, S. & Bani-Ismail, B. (2008). Interactive and Automatic Query Expansion: A Comparative Study with an Application on Arabic . American Journal of Applied Sciences, 5(11), 1433–1436. https://doi.org/10.3844/ajassp.2008.1433.1436
- Licence
- © Science Publications
- Issue
- Volume 5, Issue 11
- Policies
- Editorial independenceUse of generative AIData availabilityAppeals and complaints
- Version
- Version of record
