Document Type

Conference Paper

Department/Unit

Department of Computer Science

Title

Answering why-bot questions on spatial keyword top-k queries

Language

English

Abstract

© 2015 IEEE. Large volumes of geo-tagged text objects are available on the web. Spatial keyword top-k queries retrieve k such objects with the best score according to a ranking function that takes into account a query location and query keywords. In this setting, users may wonder why some known object is unexpectedly missing from a result; and understanding why may aid users in retrieving better results. While spatial keyword querying has been studied intensively, no proposals exist for how to offer users explanations of why such expected objects are missing from results. We provide techniques that allow the revision of spatial keyword queries such that their results include one or more desired, but missing objects. In doing so, we adopt a query refinement approach to provide a basic algorithm that reduces the problem to a two-dimensional geometrical problem. To improve performance, we propose an index-based ranking estimation algorithm that prunes candidate results early. Extensive experimental results offer insight into design properties of the proposed techniques and suggest that they are efficient in terms of both running time and I/O cost.

Publication Date

2015

Source Publication Title

IEEE 31st International Conference on Data Engineering (ICDE)

Start Page

279

End Page

290

Conference Location

Seoul, Korea

Publisher

IEEE

DOI

10.1109/ICDE.2015.7113291

Link to Publisher's Edition

http://dx.doi.org/10.1109/ICDE.2015.7113291

ISBN (print)

9781479979646

This document is currently not available here.

Share

COinS