Enhancing Collective Filtering With Causal Representation

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
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 > Institute of Health and Wellbeing > MRC/CSO SPHSU
ISBN:9781457715938
Published Online:15 December 2011

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