eprintid: 2110
rev_number: 11
eprint_status: archive
userid: 6
dir: disk0/00/00/21/10
datestamp: 2014-01-21 16:03:32
lastmod: 2014-01-21 16:03:32
status_changed: 2014-01-21 16:03:32
type: monograph
metadata_visibility: show
creators_name: Paolucci, Mario
creators_name: Picascia, Stefano
creators_name: Quattrociocchi, Walter
creators_id: 
creators_id: 
creators_id: walter.quattrociocchi@imtlucca.it
title: Causality in collective filtering
ispublished: pub
subjects: QA75
divisions: CSA
full_text_status: public
monograph_type: working_paper
keywords: Causality, Crowdsourcing 
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.
date: 2011
publication: SSRN Electronic Journal
number: 184657
publisher: SSRN
pages: 12
id_number: doi:10.2139/ssrn.1846575
institution: IMT Institute for Advanced Studies Lucca
official_url: http://dx.doi.org/10.2139/ssrn.1846575
citation:   Paolucci, Mario and Picascia, Stefano and Quattrociocchi, Walter  Causality in collective filtering.  Working Paper  #184657/2011    SSRN         
document_url: http://eprints.imtlucca.it/2110/1/SSRN_1846575.pdf