Heterogeneity, quality, and reputation in an adaptive recommendation model

Details Heterogeneity, quality, and reputation in an adaptive recommendation model Heterogeneity, quality, and reputation in an adaptive recommendation model

2010-12-06

arxiv.org/abs/1012.1099v1

Eur. Phys. J. B 80, 201-208 (2011)

Physics

Physics and Society

Scientific paper

10.1140/epjb/e2010-10716-5

Recommender systems help people cope with the problem of information overload. A recently proposed adaptive news recommender model [Medo et al., 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.

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