Incremental blind feedback: An effective approach to automatic query expansion

Automatic query expansion (AQE) is a useful technique for enhancing the effectiveness of information retrieval systems. In this article, we propose a novel AQE algorithm which first adopts a systematic incremental approach to choose feedback documents from the top retrieved set and then selects the...

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Bibliographic Details
Published in:ACM transactions on Asian language information processing 2014-10, Vol.13 (3), p.1-22
Main Authors: Paik, Jiaul H., Pal, Dipasree, Parui, Swapan K.
Format: Article
Language:English
Subjects:
Algorithms
Automation
Blinds
Consistency
Data processing
Feedback
Query processing
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Summary:Automatic query expansion (AQE) is a useful technique for enhancing the effectiveness of information retrieval systems. In this article, we propose a novel AQE algorithm which first adopts a systematic incremental approach to choose feedback documents from the top retrieved set and then selects the expansion terms aggregating the scores from each feedback set. We also devise a term selection measure and a number of weighting schemes based on easily computable features. A set of experiments with a large number of standard test collections reveals that the proposed incremental blind feedback algorithm outperforms a number of state-of-the-art query expansion methods with remarkable significance and consistency.
ISSN:1530-0226
1558-3430
DOI:10.1145/2611521