Semi-Automatic Query Expansion Approach to Web- Based Information Retrieval

Authors

ChaoYang Zhang, University of Southern Mississippi
Kuo Lane Chen, University of Southern Mississippi
Huei Lee, Eastern Michigan University
Hong Lan, Louisiana Tech University
QiJun Chen, University of Vermont
JiangYan He, University of Vermont

Abstract

The query used for Web searching is usually short and may not be able to reflect the intrinsic semantics of the user information need. The purpose of the paper is to take into account user information feedback, and to develop a semi-automatic query expansion approach to improve the effectiveness of Web searching. A search engine has been developed using the vector information retrieval model to validate the semi-automatic query expansion approach. The experiments show that this approach may improve the effectiveness of web searching.

Recommended Citation

Zhang, ChaoYang; Chen, Kuo Lane; Lee, Huei; Lan, Hong; Chen, QiJun; and He, JiangYan (2004) "Semi-Automatic Query Expansion Approach to Web- Based Information Retrieval," Communications of the IIMA: Vol. 4: Iss. 4, Article 4.
DOI: https://doi.org/10.58729/1941-6687.1345
Available at: https://scholarworks.lib.csusb.edu/ciima/vol4/iss4/4