Causality in collective filtering

Paolucci, Mario and Picascia, Stefano and Quattrociocchi, Walter Causality in collective filtering. Working Paper #184657/2011 SSRN

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Abstract

In this paper, we describe a proposal for improving the practice of web-based collective filtering, in particular for what regards discussions and selection of issues about policy, based on the intuitive concept of causality. Causality, especially when presented in visual form, is especially suited to the task since it is intuitive to understand and to use, and at the same time, it's rich enough to create a semantic network between the representations of real world facts. We give some examples of the suggested system workflow and we present guidelines for its implementation.

Item Type:	Working Paper (Working Paper)
Identification Number:	https://doi.org/10.2139/ssrn.1846575
Uncontrolled Keywords:	Causality, Crowdsourcing
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Research Area:	Computer Science and Applications
Depositing User:	Ms T. Iannizzi
Date Deposited:	21 Jan 2014 16:03
Last Modified:	21 Jan 2014 16:03
URI:	http://eprints.imtlucca.it/id/eprint/2110

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