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Heterogeneity, quality, and reputation in an adaptive recommendation model

Cimini, Giulio and Medo, Matúš and Zhou, Tao and Wei, Dong and Zhang, Yi-Cheng Heterogeneity, quality, and reputation in an adaptive recommendation model. The European Physical Journal B - Condensed Matter, 80 (2). pp. 201-208. ISSN 1434-6028 (2011)

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Recommender systems help people cope with the problem of information overload. A recently proposed adaptive news recommender model [M. Medo, Y.-C. Zhang, T. Zhou, Europhys. Lett. 88, 38005 (2009)] is based on epidemic-like spreading of news in a social network. By means of agent-based simulations we study a “good get richer” feature of the model and determine which attributes are necessary for a user to play a leading role in the network. We further investigate the filtering efficiency of the model as well as its robustness against malicious and spamming behaviour. We show that incorporating user reputation in the recommendation process can substantially improve the outcome.

Item Type: Article
Identification Number: 10.1140/epjb/e2010-10716-5
Uncontrolled Keywords: Physics and society, Social and information networks
Subjects: H Social Sciences > H Social Sciences (General)
Q Science > QC Physics
Research Area: Economics and Institutional Change
Depositing User: Caterina Tangheroni
Date Deposited: 06 Nov 2015 10:56
Last Modified: 06 Apr 2016 10:36
URI: http://eprints.imtlucca.it/id/eprint/2839

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