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I'm very pleased to report that the workshop was a big
success. Between 40 and 50 people attended the keynote and
various sessions, at times spilling out into the hallway.
However, while size can be as much a curse as a blessing to a
workshop, the discussion was insightful and provocative. The
organizers would like to publicly thank all those that
attended and participated.
A summary of the workshop will
appear in SIGIR Forum; I hope everything is accurate. Please
send any comments you may have to
Ian Soboroff.
You can read the call for papers
here. It was sent out on May 5th, and revised with the
new date on May 18th.
Introduction
The world of recommender systems has undergone quite an
expansion since the Communications of the ACM published
their feature issue on the topic two years ago. Projects such
as GroupLens have gone on to be successful commercial
ventures, and recommendation systems are de rigeur for
Internet commerce. The basic technology has very quickly gone
from the research world to popular applications. However,
many problems remain to be solved.
Several methods for recommender systems have emerged,
including approaches that base recommendations on correlations
of groups of users and methods that learn about individual
users. However, the architectural issues of cold-start, sparse
ratings, and scalability continue to dominate the field.
The state of the art in recommender systems will be
enhanced by the development of evaluation methodologies for
recommender systems. User studies are difficult to conduct
and generalize from, and issues of presentation and relevance
make traditional IR evaluation measures not entirely suited to
the domain. Furthermore, test collections such as DEC SRC's
EachMovie data set are becoming standard tools, but the
need for larger collections in different domains is great.
Thus, the theme of the workshop is moving to the next phase
of recommender systems research, from the basic "how do we
do it" to "how can we do it better", and "how do
we know that it's better".
The objective of the workshop is to bring together researchers
and practitioners involved in developing, testing, and
fielding recommender systems. The workshop will provide a
forum for discussing current practice and recent research
results, and develop a roadmap for future recommender systems
research.
Preliminary Workshop Schedule
Morning
- 9:15-10:15 Keynote: Recommender System Research:
Perspectives and Thoughts
- Joseph Konstan (University of Minnesota)
10:15-10:40 Break
10:45-12:00 Session I: Recommendation
Algorithms-
Memory-Based Weighted-Majority Prediction for
Recommender Systems- Joaquin Delgado, Naohiro
Ishii (Nagoya Institute of Tech, Japan)
Jester 2.0: A New Linear-Time Collaborative Filtering
Algorithm Applied to Jokes- Dhruv Gupta, Mark
Digiovanni, Hiro Narita, Ken Goldberg (UC Berkeley)
Clustering Items for Collaborative Filtering- Mark O'Conner, Jon Herlocker (Univ of Minnesota)
-
12:00-13:00 Lunch
Afternoon
- 13:05-14:20 Sesssion II: Combining Content and Collaborative
Recommendation
-
Combining Content-Based and Collaborative Filters in
an Online Newspaper- Mark Claypool, Anuja
Gokhale, Tim Miranda, Pavel Murnikov, Dmitry Netes, Matthew
Sartin (WPI)
Bayesian Mixed-Effects Models for Recommender
Systems- Michelle Condliff (Boeing), David
D. Lewis (AT&T Research), David Madigan (Univ of
Washington), Christian Posse (Talaria, Inc.)
Content-Based Book Recommending Using Learning for
Text Categorization- Raymond Mooney, Loriene
Roy (Univ of Texas)
14:20-14:35 Break
14:35-15:50 Session III: Models for Users and
Information Need-
Recommenders for Expertise Management- Mark Ackerman, David McDonald, Wayne Lutters, Jack
Muramatsu (UC Irvine)
Recommending Web Documents Based on User
Preferences- Eric Glover, Steve Lawrence,
Michael Gordon, William Birmingham, C. Lee Giles (NEC
Research)
Panel/Discussion
- Ali Kamal (Tivo, Inc.)
- Joseph Konstan (University of Minnesota)
- Clifford Lynch (Coalition for Networked
Information)
- Raymond Mooney (University of Texas)
15:50-16:00 Wrap-up
Important Dates
| June 9, 1999 |
Paper submissions due |
| July 9, 1999 |
Notification of paper acceptance |
| July 23, 1999 |
Camera-ready copy with revisions due |
| August 19, 1999 |
Recommender Systems Workshop |
Organizers
Program Committee
- Chumki Basu (Telcordia/Rutgers)
- Natalie Glance (Xerox Research Centre Europe)
- Haym Hirsh (Rutgers)
- Jon Herlocker (Univ of Minnesota)
- David Hull (Xerox Research Centre Europe)
- Joseph Konstan (Univ of Minnesota)
- Loren Terveen (AT&T Labs)
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