City Research Online

Query exhaustivity, relevance feedback and search success in automatic and interactive query expansion

Vakkari, P., Jones, S., MacFarlane, A. and Sormunen, E. (2004). Query exhaustivity, relevance feedback and search success in automatic and interactive query expansion. Journal of Documentation, 60(2), pp. 109-127. doi: 10.1108/00220410410522016

Abstract

This study explored how the expression of search facets and relevance feedback by users was related to search success in interactive and automatic query expansion in the course of the search process. Search success was measured both in the number of relevant documents retrieved and relevance scores of these items based on a four point scaling. Research design consisted of 26 users searching for four TREC topics in Okapi IR system, half using interactive and half automatic query expansion based on RF. The search logs were recorded, and the users filled in a questionnaire for each topic concerning various features of searching. The results showed that the exhaustivity of the query was the most significant predictor of search success, and that interactive expansion led to better search success than automatic one.

Publication Type: Article
Additional Information: This article is (c) Emerald Group Publishing and permission has been granted for this version to appear here http://openaccess.city.ac.uk/. Emerald does not grant permission for this article to be further copied/distributed or hosted elsewhere without the express permission from Emerald Group Publishing Limited.
Publisher Keywords: Searching, Query languages
Subjects: Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Departments: School of Mathematics, Computer Science & Engineering > Computer Science > Human Computer Interaction Design
Related URLs:
URI: http://openaccess.city.ac.uk/id/eprint/4501
[img]
Preview
PDF - Accepted Version
Download (126kB) | Preview

Export

Downloads

Downloads per month over past year

View more statistics

Actions (login required)

Admin Login Admin Login