Paolucci, M. and Picascia, S. (2011) Enhancing Collective Filtering With Causal Representation. In: 2011 Second International Conference on Culture and Computing, Kyoto, Japan, 20-22 Oct 2011, pp. 135-136. ISBN 9781457715938 (doi: 10.1109/Culture-Computing.2011.37)
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Abstract
In this paper, we propose to enhance the practice of web-based collective filtering with the addition of a causality linking module. Causality lies at the foundations of human understanding, when presented in visual form, is especially suited to the task as it is intuitive to understand and to use. But in its simplicity, causality could provide a semantic network over the filtering tool, connecting representations of real world facts.
Item Type: | Conference Proceedings |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Picascia, Dr Stefano |
Authors: | Paolucci, M., and Picascia, S. |
College/School: | College of Medical Veterinary and Life Sciences > School of Health & Wellbeing > MRC/CSO SPHSU |
ISBN: | 9781457715938 |
Published Online: | 15 December 2011 |
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