Recommender Systems Live from FARCON 2017

Recommender systems play an important role in providing personalized content to online users. Yet, typical data mining techniques are not well suited for the unique challenges that recommender systems face. In this episode, host Kyle Polich joins Dr. Joseph Konstan from the University of Minnesota at a live recording at FARCON 2017 in Minneapolis to discuss recommender systems and how machine learning can create better user experiences.

Guest

Joseph Konstan: Joseph Konstan joined the Department of Computer Science & Engineering in 1993 as an assistant professor and was later promoted to a professor. He also currently serves as the associate dean for research for the College of Science and Engineering and served as the associate head of the department from 2008-15. Konstan was named a Distinguished McKnight University Professor in 2009 and a Distinguished University Teaching Professor in 2010. He also was named an ACM Fellow in 2008 and an IEEE Fellow in 2013.