How can product developers use data analytics to improve products, prove their effectiveness, and increase the fidelity of implementation? Learn more in the latest Nexus story by Rachel Schechter
Recommender systems provide users with content they might be interested in. Conventionally, recommender systems are evaluated mostly by using prediction accuracy metrics only. But, the ultimate goal of a recommender system is to increase user satisfaction.
D. Stoller-Schai, and L. Bünger. Handbuch E-Learning: Expertenwissen aus Wissenschaft und Praxis - Strategien, Instrumente, Fallstudien, chapter 4.37, Deutscher Wirtschaftsdienst (Wolters Kluwer Deutschland), Köln, 30. Erg.-Lfg. edition, (October 2009)
C. Costa, G. Beham, W. Reinhardt, and M. Sillaots. Proceedings of the 2nd SIRTEL'08 Workshop on Social Information Retrieval for Technology Enhanced Learning, 382, Maastricht, The Netherlands, (September 2008)