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:
Investigating the Potential for Miscommunication Using Emoji
Hey emoji users: Did you know that when you send your friend on your Nexus, they might see on their iPhone? And it’s not just ; this type of thing can happen for all emoji (yes, even ). In a paper (download) that will be officially published at AAAI ICWSM in May, we show that this problem can cause people to misinterpret the emotion and the meaning of emoji-based communication, in some cases quite significantly. , we know.
What’s more, our work also showed that even when two people look at the exact same emoji rendering (e.g., ), they often don’t interpret it the same way, leading to even more potential for miscommunication. !
Putting Users in Control of their Recommendations
At 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.
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.