|CHI' 99 Workshop
Interacting with Recommender Systems
15/16 May 1999
Pittsburgh, Pennsylvania, USA
Part of the CHI '99 Conference
Paper submission deadline: 26 February 99
|online proceedings / schedule||overview||call for participation|
Overview and goals of the workshop
Many people today live in information-rich worlds, constantly facing the question: what should I do next? Which papers should I read to learn about a new area Im interested in? Which movie should I go to? Which restaurant would I like? The experience of friends and colleagues is a valuable resource for making such decisions, especially friends who are familiar with the subject area and have similar tastes.
The field of recommender systems (or collaborative filtering) attempts to automate this process, e.g., by supporting people in making recommendations, finding a set of people who are likely to provide good recommendations for a given person, or deriving recommendations from implicit behavior such as browsing activity, buying patterns, and time on task.
Within the workshop the following problems will be discussed:
The purpose of the workshop is to bring together a diverse group of researchers and practitioners from diverse fields of HCI and related disciplines, such as artificial intelligence and the social sciences. We will draw an overall picture of the state of the art and identify the most important issues facing us today. Finally, we wish to explore new ideas for recommender systems and clarify the nature, scope, and limits of this approach. One goal will be to come up with a common model of understanding, i.e. a design space in which remaining white spots can be pointed out.Further Reading
University of Minnesota