Featured Research

We publish research articles in conferences and journals primarily in the field of computer science, but also in other fields including psychology, sociology, and medicine. See our blog for research highlights and our publications page for a comprehensive view of our research contributions. Here are excerpts from recent articles:

Learning from Learning Buddies: Opportunities for Tech to Connect across Generations

As a child, I spent a lot of time with my parents’ retired colleagues in our community who often helped take care of children like me when our working parents were occupied. Yet to say, not all children have such caring older adults when they grow up and many older adults don’t have younger generations in their community as they age. Today’s communities have programs that specifically aim to connect the two generations. These programs often seek older adults’ experience and expertise to support children’s growth. However, there are challenges that prevent older adults from benefiting in these programs and we see opportunities for technologies to address these challenges… See more

What does it mean to “keep community in the loop” when building algorithms for Wikipedia?

Wikipedia requires the help of algorithmic systems. But we need these algorithmic systems to be effective community partners (think R2-D2, cheerfully supporting the Rebel Alliance!) rather than AI overlords (think Terminator…being Terminator). How can we possibly design these systems in a way that supports all of its well-intentioned community stakeholders…including patrollers, newcomers, and everyone in between? See more

Featured Projects

We build and study real systems, going back to the release of MovieLens in 1997. See our projects page for a full list of active projects; see below for some featured projects.

MovieLens is a web site that helps people find movies to watch. It has hundreds of thousands of registered users. We conduct online field experiments in MovieLens in the areas of automated content recommendation, recommendation interfaces, tagging-based recommenders and interfaces, member-maintained databases, and intelligent user interface design.

Find bike routes that match the way you ride. Share your cycling knowledge with the community. Cyclopath is a geowiki: an editable map where anyone can share notes about roads and trails, enter tags about special locations, and fix map problems – like missing trails. Hundreds of Twin Cities cyclists are already doing this, making Cyclopath the most comprehensive and up-to-date bicycle information resource in the world.

LensKit is an open source toolkit for building, researching, and studying recommender systems. Do you need a recommender for your next project? LensKit provides high-quality implementations of well-regarded collaborative filtering algorithms and is designed for integration into web applications and other similarly complex environments.

More About GroupLens

GroupLens is headed by faculty from the department of computer science and engineering at the University of Minnesota, and is home to a variety of students, staff, and visitors.