About Us

Initiated in May 2010, this lab aims to provide a platform for students to receive training and conduct research in machine learning and data mining by creating data-driven applications on the internet.

Lab Members

Faculty
Mu Zhu, Associate Professor, Department of Statistics & Actuarial Science

Current Students
Jennifer Nguyen, URA

Former Students (year; destination afterwards)
Peter Forbes, URA (2010; University of Cambridge)
Kai Liu, URA (2010-11; University of Waterloo)
Tianyi (Amy) Wang, URA (2010; Cornell University)
Zhou (Laura) Ye, MMath student (2010-11; BMO)

Lab Publications

Forbes P, Zhu M (2011). "Content-boosted matrix factorization for recommender systems: Experiments with recipe recommendation," in Proceedings of the 5th ACM Conference on Recommender Systems, 261-264.

Nguyen J, Zhu M (2012). "Content-boosted matrix factorization techniques for recommender systems," submitted.

Background Reading (for prospective students)

Koren Y, Bell R, Volinsky C (2009). "Matrix factorization techniques for recommender systems," Computer, Vol. 42 No. 8, 30-37.

Zhu M (2010). "Predictive analytics: Managing fundamental tradeoffs," Analytics, Sept-Oct 2010, 18-21.

Zhu M (2008). "Kernels and ensembles: Perspectives on statistical learning," The American Statistician, Vol. 62, 97-109.