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On the efficiency of social recommender networks
2015
2015 IEEE Conference on Computer Communications (INFOCOM)
We study a fundamental question that arises in social recommender systems: whether it is possible to simultaneously maximize (a) an individual's benefit from using a social network and (b) the efficiency of the network in disseminating information. To tackle this question, our study consists of three components. First, we introduce a stylized stochastic model for recommendation diffusion. Such a model allows us to highlight the connection between user experience at the individual level, and
doi:10.1109/infocom.2015.7218619
dblp:conf/infocom/WongLC15
fatcat:zxr5i7wkmzeg7naak4636xmysq