Transformation selection for aptness-based web retrieval

This source preferred by Paul De Vrieze

Authors: van Gils, B., Proper, H.A., van Bommel, P. and de Vrieze, P.

http://dl.acm.org/citation.cfm?id=1082222.1082235

Journal: Proceedings of the 16th Australasian database conference - Volume 39

Pages: 115-124

Publisher: Australian Computer Society, Inc.

Place of Publication: Darlinghurst, Australia, Australia

This data was imported from DBLP:

Authors: Gils, B.V., Proper, H.A., Bommel, P.V. and Vrieze, P.D.

Editors: Williams, H.E. and Dobbie, G.

http://www.informatik.uni-trier.de/~ley/db/conf/adc/adc2005.html

Journal: ADC

Volume: 39

Pages: 115-124

Publisher: Australian Computer Society

This data was imported from Scopus:

Authors: van Gils, B., Proper, H.A., van Bommel, P. and de Vrieze, P.

Journal: Conferences in Research and Practice in Information Technology Series

Volume: 39

Pages: 115-124

ISBN: 9781920682217

ISSN: 1445-1336

A myriad of resources can be found on the Web today, and finding (topically) relevant resources for a given information need is a daunting task. Even if relevant resources can be found, they may not be apt for the searcher in a given context: some properties of the resource may be "wrong" for his current context. Such issues can often be resolved by means of transformations. In this paper we discuss an algorithm for selecting candidate transformations for a given situation and present our first experiences with this algorithm. © 2005, Australian Computer Society, Inc.

The data on this page was last updated at 05:12 on February 21, 2020.