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 publications page for a full list; see below for excerpts from recent articles.

Deviant Behavior in League of Legends

Shores 2014

Many online activities today involve interacting with other people, and these interactions are often dictated by social norms – unspoken rules that classify socially acceptable behavior. We look at deviant behavior in the popular online game League of Legends. Read more.

Social Curation in Pinterest

Chang 2014

As the third-largest English-language social network behind Facebook and Twitter, Pinterest has surpassed Reddit, Digg, and others to become the world’s most popular social curation site. In this work we studied the types of content and behavior that attract attention — namely repins and follows — in Pinterest. Read 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.