ABSTRACT
OVERCOMING INFORMATION OVERLOAD:
INTERFACES for MAKING ABUNDANCE EASIER
Prof. Joseph A. Konstan,
University of Minnesota, Minneapolis
Problems of information overload are not new, but they
continue to grow as we develop new techniques for
capturing, mining, and creating extensive and rich data.
This seminar will review a number of research projects, all
of which address different aspects of and solutions
to information overload. Highlighted projects will include:
- the GroupLens collaborative filtering recommender
system which is exploring new algorithms, interfaces, and
applications that use the opinions of a community to
perform personalized information filtering for community
members;
- interactive multimedia support, including a new
tool for interactive exploration of early multimedia
design ideas;
SPEAKER'S BACKGROUND
Joseph A. Konstan is Associate Professor of Computer
Science and Engineering at the University of Minnesota.
His research addresses a variety of human-computer
interaction issues related to filtering, comprehending,
organizing, and automating large and complex data sets.
He is probably best known for his work in collaborative
filtering (the GroupLens recommender system) and
multimedia authoring. In 1996, he co-founded Net
Perceptions, Inc., a company that has since developed
collaborative filtering systems into a variety of
commercial personalization tools.
Prof. Konstan received his Ph.D.
from the University of California, Berkeley in 1993;
he is an ACM Lecturer, editor of the SIGCHI Bulletin,
and a member of the ACM SIGCHI Executive Committee
http://www.cs.umn.edu/~konstan
Maintained by rbennett@cs.ucl.ac.uk