Agent-based simulation, Dynamics of recommender systems, Item consumption patterns
hdl.handle.net/1765/91784
23rd Workshop on Information Technology and Systems: Leveraging Big Data Analytics for Societal Benefits, WITS 2013
Erasmus University Rotterdam

Adomavicius, G, Gupta, A, Ketter, W, & Zhang, J. (2013). Understanding longitudinal dynamics of recommender systems performance: An agent-based modeling approach. Presented at the 23rd Workshop on Information Technology and Systems: Leveraging Big Data Analytics for Societal Benefits, WITS 2013. Retrieved from http://hdl.handle.net/1765/91784