Heterogeneity, quality, and reputation in an adaptive recommendation model - The European Physical Journal B

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ID: 267993
2011
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Abstract
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.
Reference Key
cimini2011theheterogeneity, Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors G. Cimini;M. Medo;T. Zhou;D. Wei;Y.-C. Zhang;G. Cimini;M. Medo;T. Zhou;D. Wei;Y.-C. Zhang;
Journal the european physical journal b
Year 2011
DOI
doi:10.1140/epjb/e2010-10716-5
URL
https://doi.org/10.1140/epjb/e2010-10716-5
Keywords
physics complex systems solid state physics condensed matter physics general fluid- and aerodynamics

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