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:
Ramen is More Photogenic than Chicken Wings: A Winter Break Externship Report
This December, GroupLens hosted these four undergraduates from Carleton College for a three-week externship to get a taste for a research career in computer science. They learned a lot about photo sharing practices in restaurants from an analysis of Yelp. Read their blog post to learn which foods are the most photogenic, and which restaurants attract the most tourists. Read more.
SqueezeBands: Hugging Through the Screen
When I Skype with my family, I really wish that I could reach through the screen to give them a hug! Instead, we sometimes have to pretend—we lean forward “hugging” the monitor or bring our hands towards the camera to do a virtual “high five.” What if you could actually feel some of that touch instead of just having to imagine it?
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.