THE ROLE OF TASTE AFFINITY IN AGENT-BASED MODELS FOR SOCIAL RECOMMENDATION

Giulio Cimini (), An Zeng, Matúš Medo and Duanbing Chen
Additional contact information
Giulio Cimini: Physics Department, University of Fribourg, CH-1700 Fribourg, Switzerland
An Zeng: Physics Department, University of Fribourg, CH-1700 Fribourg, Switzerland
Matúš Medo: Physics Department, University of Fribourg, CH-1700 Fribourg, Switzerland
Duanbing Chen: Web Sciences Center, University of Electronic Science and Technology of China, Chengdu 611731, China

Advances in Complex Systems (ACS), 2013, vol. 16, issue 04n05, 1-23

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.

Keywords: Taste similarity; agent-based modeling; adaptive complex networks; information diffusion and filtering; social recommendation (search for similar items in EconPapers)
Date: 2013
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219525913500094
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:acsxxx:v:16:y:2013:i:04n05:n:s0219525913500094

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219525913500094

Access Statistics for this article

Advances in Complex Systems (ACS) is currently edited by Frank Schweitzer

More articles in Advances in Complex Systems (ACS) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().