Robin Burke

Professor // Artificial Intelligence, Data Analysis
School of Computing
Robin Burke


Advising Hours for the week of
9/10/2017 - 9/16/2017
M 2:00PM - 5:00PM at CDM 841
9/17/2017 - 9/23/2017
M 2:00PM - 5:00PM at CDM 841
9/24/2017 - 9/30/2017
M 2:00PM - 5:00PM at CDM 841
10/1/2017 - 10/7/2017
M 2:00PM - 5:00PM at CDM 841
10/8/2017 - 10/14/2017
M 2:00PM - 5:00PM at CDM 841
10/15/2017 - 10/21/2017
M 2:00PM - 5:00PM at CDM 841
10/22/2017 - 10/28/2017
M 2:00PM - 5:00PM at CDM 841
10/29/2017 - 11/4/2017
M 2:00PM - 4:00PM at CDM 841
11/5/2017 - 11/11/2017
M 2:00PM - 5:00PM at CDM 841
11/12/2017 - 11/18/2017
M 2:00PM - 5:00PM at CDM 841
(No advising hours available this week)


Office Hours for the week of
9/3/2017 - 9/9/2017
Th 10:00AM - 11:30AM at CDM 841
9/10/2017 - 9/16/2017
Tu 10:00AM - 11:30AM at CDM 841
Th 10:00AM - 11:30AM at CDM 841
9/17/2017 - 9/23/2017
Tu 10:00AM - 11:30AM at CDM 841
Th 10:00AM - 11:30AM at CDM 841
9/24/2017 - 9/30/2017
Tu 10:00AM - 11:30AM at CDM 841
Th 10:00AM - 11:30AM at CDM 841
10/1/2017 - 10/7/2017
Tu 10:00AM - 11:30AM at CDM 841
Th 10:00AM - 11:30AM at CDM 841
10/8/2017 - 10/14/2017
Tu 10:00AM - 11:30AM at CDM 841
Th 10:00AM - 11:30AM at CDM 841
10/15/2017 - 10/21/2017
Tu 4:00PM - 5:00PM at 990 Fullerton 3130
Th 10:00AM - 11:30AM at CDM 841
10/22/2017 - 10/28/2017
Tu 10:00AM - 11:30AM at CDM 841
Tu 4:00PM - 5:00PM at 990 Fullerton 3130
Th 10:00AM - 11:30AM at CDM 841
10/29/2017 - 11/4/2017
Tu 10:00AM - 11:30AM at CDM 841
Tu 4:00PM - 5:00PM at 990 Fullerton 3130
Th 10:00AM - 11:30AM at CDM 841
11/5/2017 - 11/11/2017
Tu 10:00AM - 11:30AM at CDM 841
Tu 4:00PM - 5:00PM at 990 Fullerton 3130
Th 10:00AM - 11:30AM at CDM 841
11/12/2017 - 11/18/2017
Tu 10:00AM - 11:30AM at CDM 841
Tu 4:00PM - 5:00PM at 990 Fullerton 3130
Th 10:00AM - 11:30AM at CDM 841
11/19/2017 - 11/25/2017
Tu 10:00AM - 11:30AM at CDM 841
Tu 4:00PM - 5:00PM at 990 Fullerton 3130

Bio and Research Information

Robin Burke is a Professor at CDM. His research interests are in artificial intelligence as applied to social computing. His current work concentrates on the area of recommender systems, including representing the interests of multiple stakeholders in recommendation, performing recommendation using data from complex heterogeneous networks, and tracking the evolution of users' tastes over time.

Professor Burke earned his PhD in 1993 from Northwestern University, working with Professor Roger Schank, one of the founders of the field of cognitive science. He worked in post-doctoral positions at the University of Chicago, and then in 1998, left academic employment to help found a 'dot-com' startup. He returned to academic work in 2000 first at the University of California, Irvine and then at California State University, Fullerton. In the Fall of 2002, he began his current position at DePaul University.

Research Area

Artificial Intelligence, Data Analysis

Specific Research Area

Recommender systems Social computing Case-based reasoning

Professional Associations

AAAI, ACM (SIGec, SIGIR), IEEE Computer

Schedule for Winter 2017-2018

Courses Taught at DePaul

Course Evaluations