Accelerating Browsing by Automatically Inferring a User's Search Goal
- Chris Drummond, Institute for Information Technology, National Research Council Canada
- Robert Holte, Department of Computing Science, University of Alberta
- Dan Ionescu, School of Information Technology and Engineering, University of Ottawa
This paper discusses a novel method called active browsing which increases the speed and accuracy with which a user may browse libraries for reusable software. Information inferred solely from the user's normal actions is employed by the system to locate software items relevant to the user's search goal. This paper describes our active browsing system and illustrates its operation with an ex ample using typical browsing steps. An experiment, using an automated browsing agent, is described demonstrating that active browsing accelerates search.
Citation
C. Drummond, R. Holte, D. Ionescu. "Accelerating Browsing by Automatically Inferring a User's Search Goal". KBSE, pp 160-167, January 1993.| Keywords: | active browsing, reusable, software, machine learning |
| Category: | In Conference |
BibTeX
@incollection{Drummond+al:KBSE93,
author = {Chris Drummond and Robert Holte and Dan Ionescu},
title = {Accelerating Browsing by Automatically Inferring a User's Search
Goal},
Pages = {160-167},
booktitle = {},
year = 1993,
}Last Updated: June 18, 2007Submitted by Staurt H. Johnson
