Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/109521
Citations
Scopus Web of Science® Altmetric
?
?
Type: Conference paper
Title: User feedback based query refinement by exploiting skyline operator
Author: Islam, M.
Liu, C.
Zhou, R.
Citation: Conceptual Modeling, 2012 / Atzeni, P., Cheung, D., Ram, S. (ed./s), vol.7532, pp.423-438
Publisher: Springer
Issue Date: 2012
Series/Report no.: LNCS
ISBN: 9783642340017
ISSN: 0302-9743
1611-3349
Conference Name: International Conference on Conceptual Modeling (15 Oct 2012 - 18 Oct 2012 : Florence, Italy)
Statement of
Responsibility: 
Md. Saiful Islam, Chengfei Liu, and Rui Zhou
Abstract: This paper presents FlexIQ, a framework for feedback based query refinement. In FlexIQ, feedback is used to discover the query intent of the user and skyline operator is used to confine the search space of the proposed query refinement algorithms. The feedback consists of both unexpected information currently present in the query output and expected information that is missing from the query output. Once the feedback is given by the user, our framework refines the initial query by exploiting skyline operator to minimize the unexpected information as well as maximize the expected information in the refined query output. We validate our framework both theoretically and experimentally. In particular, we demonstrate the effectiveness of our framework by comparing its performance with decision tree based query refinement.
Keywords: Skyline Operator; User Feedback and Query Refinement
Description: ER 2012 Workshops
Rights: © Springer-Verlag Berlin Heidelberg 2012
RMID: 0030060982
DOI: 10.1007/978-3-642-34002-4_33
Grant ID: http://purl.org/au-research/grants/arc/DP120102627
Appears in Collections:Computer Science publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.