By Topic

Cluster-based query expansion using language modeling in the biomedical domain

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Xuheng Xu ; College of Information Science and Technology, Drexel University, Philadelphia, PA 19104, USA ; Xiaohua Hu

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.

Published in:

Bioinformatics and Biomedicine Workshops (BIBMW), 2010 IEEE International Conference on

Date of Conference:

18-18 Dec. 2010