학술논문
Cluster-based query expansion using language modeling in the biomedical domain
Document Type
Conference
Author
Source
2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW) Bioinformatics and Biomedicine Workshops (BIBMW), 2010 IEEE International Conference on. :185-188 Dec, 2010
Subject
Language
Abstract
Several techniques have been developed, such as query expansion, cluster-based retrieval and dimensionality reduction to resolve low search precision and low search recall issues. Of these techniques, this paper proposed cluster-based query expansion using language modeling. Through our experiments in TREC genomic track ad-hoc retrieval task, we explore and demonstrate clusters that are created based on the whole collection or the initially returned document results of the original query can be utilized to perform query expansion and eventually improve the overall effectiveness and performance of information retrieval system in the biomedical domain.