Issue
EPL
Volume 88, Number 3, November 2009
Article Number 38005
Number of page(s) 6
Section Interdisciplinary Physics and Related Areas of Science and Technology
DOI http://dx.doi.org/10.1209/0295-5075/88/38005
Published online 12 November 2009
EPL, 88 (2009) 38005
DOI: 10.1209/0295-5075/88/38005

Adaptive model for recommendation of news

Matúš Medo1, Yi-Cheng Zhang1 and Tao Zhou1, 2

1   Physics Department, University of Fribourg - CH-1700 Fribourg, Switzerland
2   Department of Modern Physics, University of Science and Technology of China - Hefei 230026, PRC

Matus.Medo@unifr.ch
Yi-Cheng.Zhang@unifr.ch

received 3 July 2009; accepted in final form 15 October 2009; published November 2009
published online 12 November 2009

Abstract
Most news recommender systems try to identify users' interests and news' attributes and use them to obtain recommendations. Here we propose an adaptive model which combines similarities in users' rating patterns with epidemic-like spreading of news on an evolving network. We study the model by computer agent-based simulations, measure its performance and discuss its robustness against bias and malicious behavior. Subject to the approval fraction of news recommended, the proposed model outperforms the widely adopted recommendation of news according to their absolute or relative popularity. This model provides a general social mechanism for recommender systems and may find its applications also in other types of recommendation.

PACS
89.65.-s - Social and economic systems.
89.75.Hc - Networks and genealogical trees.
89.20.Ff - Computer science and technology.

© EPLA 2009