Web Mining for E-Commerce -- Challenges and Opportunities
August 20, 2000, Boston, MA
Note: the best papers from the workshop are now under
review for publication in the Data Mining and Knowledge Discovery journal.
Please see http://robotics.stanford.edu/~ronnyk/WEBKDD-DMKD
The ease and speed with which business transactions can be carried out
over the Web has been a key driving force in the rapid growth of electronic
commerce. The Web is revolutionizing the way business interact with each
other (B2B) and with each customer (B2C). It has introduced entirely new
ways of doing commerce, including e.g. auctions and reverse auctions. It
also made it imperative for organizations and companies to optimize their
Knowledge about the customer is fundamental for the establishment of
viable e-commerce solutions. Web mining for e-commerce is the application
of web mining techniques to acquire this knowledge for e-commerce. Typical
concerns in e-commerce include improved cross-sells, up-sells, personalized
ads, targeted assortments, improved conversion rates, and measurements
of the effectivity of actions.
The WEBKDD'2000 workshop, as successor of WEBKDD'99, concentrates on
web mining for e-commerce. It aims to bring together e-commerce practitioneres,
tool vendors and data mining researchers and to foster the exchange of
ideas, the discussion of currently proposed solutions and the establishment
of an agenda for further emerging issues.
Topics of interest
WEBKDD'2000 calls for contributions on topics related to data mining for
e-commerce. These include the following subjects:
Enabling technologies for e-commerce
Web data warehousing
Data collection including clickstreams and purchase data
Techniques for web data preparation, including cleaning, transforming,
Data mining methodologies for different web data types
Analysis over integrated data from multiple sites
Methods for the evaluation of mining results
Scalability and parallelization
Updating of profiles
Web marketing: direct marketing and advertising
Web merchandizing: product promotion, purchase, and delivery
Privacy and trust
Case studies on the above subjects
The workshop notes will be published by ACM and distributed during the
workshop. ACM raises a fee of $10-$15 for the workshop notes; this will
be paid on site.
If you are a WEBKDD'2000 author, please consult the Camera-ready
guidelines for preparing the final version of your paper.
If you are interested in participating in the workshop, please consult
the instructions for workshop registration.
Please beware that there is a registration deadline (see Important
dates) required by ACM in order to prepare an adequate number of copies
of the workshop notes.
The best papers will be published in a special issue of the Journal
"Data Mining and Knowledge Discovery" (Kluwer Academic Publishers).
Original papers are solicited on the above or related issues of web mining
for e-commerce. Submissions are of two types:
Submissions should be in PDF or Postscript format.
Long papers (up to 5000 words -- including tables and figures) reporting
on new theoretical models, software tools and experimental studies
Short papers (up to 3000 words -- including tables and figures) reporting
on ongoing research projects, case studies and lessons learned by experimentation
A separate mail including the title, authors and abstract of the paper
should be sent separately (see Important dates
below) in plain ASCII format (no HTML-tags please).
All submissions must be sent to
Attention: All abstract and paper submissions are acknowledged
within two days. If no acknowledgment arrives for your submission, please
contact the program chairs.
Abstracts due: April 30
Papers due: May 15
Notification of acceptance: June 15
See also the Guidelines for preparing
the camera ready
Closing date for registration
The workshop is by invitation only, so you need to register for participating.
Please consult the corresponding instructions.
Workshop: August 20
Brij Masand, Redwood.com
Paul Alpar, Philipps-University Marburg, Germany
Jonathan Becher, Accrue/NeoVista, USA
Michael Berry, Data Miners, USA
Alan Broder, White Oak Technologies, Inc., USA
Alex Büchner, NIKEL, Faculty of Informatics, University of Ulster,
Northern Ire land, UK
Robert Cooley, Computer Science, University of Minnesota, USA
Usama Fayyad, Microsoft, USA
Anant Jhingran, Institute for Advanced Commerce, IBM TJ Watson Laboratory,
Vipin Kumar, Computer Science & Engineering, University of Minnesota,
Brian Lent, Amazon.com, USA
Llew Mason, Blue Martini Software, USA
Jesus Mena, Web Miner, USA
Anne Milley, SAS, USA
Brad Miller, Netperceptions, Inc., USA
Bamshad Mobasher, Computer Science, DePaul University
Günter Müller, Telematics, University of Freiburg, Germany
Maurice Mulvenna, MINEit Software, Northern Ireland, UK
John Roddick, School of Informatics and Engineering, Flinders University
of South Australia
Alex Tuzhilin, Stern School of Business, New York University, USA
Maria Zemankova, NSF Program Director for Information Technology
Zijian Zheng, Blue Martini Software, USA
Last modified: 09 Oct 2000