Michael Ekstrand

My Research

I study what happens when people and information systems, particularly recommender systems, collide in many different ways. This work blends human-computer interaction, artificial intelligence, and information retrieval to answer two key questions:

  1. How can we build information systems that are better able to meet human needs?
  2. How do these systems interact with people and society?

I am currently working on several problems around bias and discrimination in recommender systems, effective evaluation of recommender systems, and techniques to support specific information needs of various classes of users.

For more details, see the project list below, or one of these other pages:

If you are a student looking for research funding, I strongly recommend taking one of my classes. If you are looking to do a thesis, or for undergraduate research experience, please e-mail me or visit my office hours.

Active Projects and Topics

Past Projects