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.

Putting Users in Control of their Recommendations

user controlled recommenderAt the 2015 ACM Conference on Recommender Systems, we presented an algorithm and user interface that gives users direct control over a recommender. Our algorithm works by giving users the ability to express simple preferences (“more popular”, or “less popular”) by pressing a button; these actions immediately change the resulting set of recommendations, which in turn allows the user to decide if the list is getting better or worse. Read more.

Content Production and Reader Interest in Wikipedia

English Wikipedia's Main pageWikipedia’s best content is mainly where its readers aren’t. For instance, the article about weddings is seen thousands of times every day, yet the community labels it “quite incomplete”, its prose “distinctly unencyclopedic”, and a call for additional sources to verify its content has been featured prominently at the top of the article for over four years. It turns out that this is not uncommon; each month Wikipedia’s articles are viewed billions of times, and over 40% of these views are to articles that would be of significantly higher quality if the encyclopaedia’s contributors followed their readers. 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.