Joseph A. Konstan

 

 


 

Joseph A. Konstan is Distinguished McKnight University Professor, Distinguished University Teaching Professor and Associate Department Head of the Department of Computer Science and Engineering at the University of Minnesota. His research addresses a variety of human-computer interaction issues, including recommender systems, social computing, and applications of computing to public health. His work on the GroupLens Recommender System won the 2010 ACM Software Systems Award.


More info: http://www-users.cs.umn.edu/~konstan/




Customize your search:

E.g., 2016-12-11
E.g., 2016-12-11
E.g., 2016-12-11
Dec 12th 2016

In this course, you will learn the fundamental techniques for making personalized recommendations through nearest-neighbor techniques. First you will learn user-user collaborative filtering, an algorithm that identifies other people with similar tastes to a target user and combines their ratings to make recommendations for that user.

Average: 6.5 (2 votes)
Dec 5th 2016

This course, which is designed to serve as the first course in the Recommender Systems specialization, introduces the concept of recommender systems, reviews several examples in detail, and leads you through non-personalized recommendation using summary statistics and product associations, basic stereotype-based or demographic recommendations, and content-based filtering recommendations.

Average: 7.7 (3 votes)
Dec 5th 2016

In this course, you will gain an understanding of the critical importance of user interface design. You will also learn industry-standard methods for how to approach the design of a user interface and key theories and frameworks that underlie the design of most interfaces you use today.

No votes yet