We develop a general agent-based modeling and computational simulation approach to study the impact of various factors on the temporal dynamics of recommender systems' performance. The proposed agent-based simulation approach allows for comprehensive analysis of longitudinal recommender systems...

We study the problem of consumer acquisition in recommender systems, by considering a marketplace where a recommender system provider offers personalized incentives to encourage consumer participation. We investigate a model of consumer acquisition that accounts for several key market dynamics,...