eprintid: 2846
rev_number: 8
eprint_status: archive
userid: 69
dir: disk0/00/00/28/46
datestamp: 2015-11-06 12:10:19
lastmod: 2015-11-06 12:10:19
status_changed: 2015-11-06 12:10:19
type: article
metadata_visibility: show
creators_name: Cimini, Giulio
creators_name: Zeng, An
creators_name: Medo, Matúš
creators_name: Chen, Duanbing
creators_id: giulio.cimini@imtlucca.it
creators_id: 
creators_id: 
creators_id: 
title: The Role of Taste Affinity in Agent-Based Models for Social Recommendation
ispublished: pub
subjects: H1
subjects: QC
divisions: EIC
full_text_status: public
keywords: Taste similarity, Agent-based modeling, Adaptive complex networks, Information diffusion and filtering, Social recommendation
abstract: In the Internet era, online social media emerged as the main tool for sharing opinions and information among individuals. In this work, we study an adaptive model of a social network where directed links connect users with similar tastes, and over which information propagates through social recommendation. Agent-based simulations of two different artificial settings for modeling user tastes are compared with patterns seen in real data, suggesting that users differing in their scope of interests is a more realistic assumption than users differing only in their particular interests. We further introduce an extensive set of similarity metrics based on users' past assessments, and evaluate their use in the given social recommendation model with both artificial simulations and real data. Superior recommendation performance is observed for similarity metrics that give preference to users with small scope — who thus act as selective filters in social recommendation.
date: 2013
date_type: published
publication: Advances in Complex Systems
volume: 16
number: 04n05
publisher: World Scientific Publishing
pagerange: 1350009
id_number: 10.1142/S0219525913500094
refereed: TRUE
issn: 0219-5259
official_url: http://www.worldscientific.com/doi/abs/10.1142/S0219525913500094
citation:   Cimini, Giulio and Zeng, An and Medo, Matúš and Chen, Duanbing  The Role of Taste Affinity in Agent-Based Models for Social Recommendation.  Advances in Complex Systems, 16 (04n05).  p. 1350009.  ISSN 0219-5259      (2013)  
document_url: http://eprints.imtlucca.it/2846/1/1301.4417v1.pdf