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:
The Story on Snapchat Stories
While most social media focus on feeds of content from your friends, Snapchat Stories let you control more of what’s “fed” to you. With powerful algorithms figuring out what you like and auto-play videos catching your attention as you scroll, it’s hard to imagine the appeal of Stories’ simple list of contacts with temporary videos or slideshow updates. Yet Facebook and Instagram are starting to roll out Story features of their own. What is so compelling about Stories that the stadiums are adding private studios? See more.
How can we #sciencethenews?
Mainstream media are most adults’ primary source of new information about science. Yet even when mainstream media outlets cover science (which they rarely do), the coverage contains errors approximately 20-30% of the time. Consequently, a hefty majority of Americans (over 70%!) lack adequate literacy to reason about scientific evidence as it relates to civic life. As scientists, how can we bridge the gap between the ivory tower and the general public? See more.
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.