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DM: CFP WEBKDD'99: Workshop on Web Usage Analysis and User


From: Brij Masand
Date: Thu, 6 May 1999 13:40:15 -0400 (EDT)
Profiling


             Call For Papers
 
WEBKDD'99: Workshop on Web Usage Analysis and User Profiling
            Sunday, August 15,1999,
            San Diego, CA, USA,
            in conjunction with KDD99:
 
The ACM SIGKDD International Conference on
Knowledge Discovery and Data Mining (KDD99) (August 15-18)
http://research.microsoft.com/datamine/kdd99/


       Deadline for extended abstract submission: June 7
       Workshop inquiries and submissions: webkdd99@gte.com
       Workshop URL: http://www.wiwi.hu-berlin.de/~myra/WEBKDD99  

The exponential growth of web usage is resulting in rapidly growing
datasets of valuable information on how successfully a web site is
used and accepted by its visitors. This information spans web access
logs, descriptions of user interests, data and meta-data on the site.
Aggregate analysis of such data can give insight into site visitation
patterns and responses to web marketing efforts, while user-oriented
analysis is necessary to build personalized and adaptive content.

Evaluating web usage data with KDD techniques has the potential of
increasing the value and the acceptance of a web site. At the same
time, the scope of the data capture and its use raises new privacy
concerns. 

The objective of this workshop is to bring together researchers and
practitioners from three areas: those developing and applying 
analytical
methods for web data mining and user profiling, those focusing on the
interpretation and use of the web mining results and those 
investigating
approaches for resolving privacy issues.
 
The workshop will address topics such as:
 
  -- approaches to the preparation and analysis of web usage data
  -- sources and nature of web data
  -- integrating data on web usage from multiple sources
  -- user profiling techniques, including real-time profiling
  -- methodologies for the evaluation of web mining results
  -- generation of adaptive, personalized web pages
  -- standards for web data capture and analysis
  -- privacy issues related to web data capture and its use
  -- application domains e.g. e-commerce, web marketing, tele-teaching

Submissions on the above and related topics of web usage analysis
are invited. Case studies and industrial experience from the 
development
and deployment of web usage analysis techniques/products are
particularly
welcome. Besides technical presentations, WEBKDD'99 will also feature
invited talks and software demonstrations. We are inquiring about 
publishing the workshop proceedings as a volume or special issue.
 
There is no separate registration fee for participating in the
workshop, but workshop attendance is by invitation only.

SUBMISSION GUIDELINES: Submission is by extended abstract (5 pages,
approx. 3000 words) in Postscript, PDF or Microsoft Word '97(or
earlier) format.  A separate title page should include the title,
authors and abstract of the submission. Contact author (including
email) should be specified.
 
Submissions should be sent electronically to
                webkdd99@gte.com

IMPORTANT DATES:
Extended Abstracts Due: June   7
            acceptance: July   1
    Camera ready  copy: July  15
 
Workshop: Sunday, Aug 15th,1999 (Main conference Aug 16,17,18)

REGISTRATION:
There is no separate registration fee for participating in the
workshop, but workshop attendance is by invitation only and is
limited to 60 participants.

Updated information on registration etc. will be posted at 
http://www.wiwi.hu-berlin.de/~myra/WEBKDD99 


WORKSHOP CHAIRS:

Brij Masand                             Dr. Myra Spiliopoulou
Advanced Systems Lab.                   Institute of Information 
Systems,
GTE Laboratories, Waltham, Ma,USA       Faculty of Economics,
Humboldt-University Berlin
email: brij@gte.com                     email: myra@wiwi.hu-berlin.de
                                        
http://www.wiwi.hu-berlin.de/~myra 

PROGRAM COMMITTEE:

Peter Brusilovsky (Human-Computer Interaction Institute, Carnegie 
Mellon
Univ.)
David Martin (IBM, Global Business Intelligence, TX, USA)
Christos Papatheodorou (NCSR Demokritos, Greece)
John Roddick (Univ. of South Australia)
Steve Smith (Optas Inc., MA, USA)
Ramakrishna Srikant (IBM, Almaden Research Center, CA, USA)
Alex Tuzhilin  (Stern School of Business, New York University)



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