KDnuggets : News : 2000 : n25 : item36    (previous | next)


From: Sarabjot S. Anand sarab@mineit.com
Date: Thu, 14 Dec 2000 15:07:03 -0500 (EST)
Subject: IJCAI-01 Workshop on Intelligent Techniques for Web Personalization
The IJCAI-01 Workshop on Intelligent Techniques for Web Personalization,
Seattle, Washington, USA
4-6 August 2001

The intense competition among Internet-based businesses to acquire new
customers and retain the existing ones has made Web personalization an
indispensable part of e-commerce. Web personalization can be defined as any
action that tailors the Web experience to a particular user, or set of
users. The experience can be something as casual as browsing a Web site or
as (economically) significant as trading stocks or purchasing a car. The
actions can range from simply making the presentation more pleasing to
anticipating the needs of a user and providing customized and relevant
information. To achieve effective personalization, organizations must rely
on all available data, including the usage and click-stream data, the site
content, the site structure, as well as user demographics and profiles. In
addition, efficient and intelligent techniques are needed to mine this data
for actionable knowledge, and to effectively use the discovered knowledge to
enhance the users' Web experience. These techniques must address important
challenges emanating from the size and the heterogeneous nature of the data
itself, as well as the dynamic nature of user interactions with Web sites,
especially in e-commerce applications. These challenges include the
scalability of the personalization solutions, data integration, and
successful integration of techniques from machine learning, information
retrieval and filtering, databases, data mining, text mining, statistics,
and human-computer interaction.

Throughout the history of the Web, AI has continued to play an essential
role in the development of Web-based information systems, and now it is
believed that e-commerce and specifically personalisation will prove to be
the "killer-app" for AI.  E-commerce is a rich source of difficult problems
and challenges for AI researchers. This workshop intends to bring together
researchers and practitioners to foster an exchange of information and
ideas, and to facilitate a discussion of current and emerging topics related
to Web Intelligence. Web Intelligence exploits AI and advanced information
technology on the Web and Internet, in order to gain business intelligence
and to assist users.  The goal of the workshop is to stimulate the future
development of new models, methodologies, and tools for Web intelligence,
including effective and scalable Web-based personalization solutions and
recommender systems.

The following are some of the issues and topics that will be addressed at
the workshop:

Data and Knowledge Modelling, Integration and Management
o Data models for Web usage, content, and structure data
o Integration of content, structure and usage data for personalization
o Techniques for improving online data quality
o The role of cross channel data in online personalisation
o Knowledge representation issues

Architectures and Systems
o Scalable collaborative filtering techniques
o Effective techniques for personalization based on anonymous data
o Agents for intelligent browsing and navigation
o Automated techniques for generation and updating of user profiles
o Cognitive models for Web navigation and e-commerce interactions
o Metrics for Personalisation Effectiveness

Enabling Technologies for Personalisation
o Adaptive hypertext systems
o Personalization based on Web usage mining
o Text mining techniques for content-based filtering

Paper Format, Submission and Publication
We invite contributions that advance the state-of-the-art in topics  related
to the purpose of the workshop. Persons interested in  participating should
submit either a technical paper (less than  6000 words). Authors are invited
to submit high quality, original papers of not more that six pages in
length, using the IJCAI format. Papers will be reviewed by at least two
members of the programme committee. We encourage electronic submissions to
sarab@mineit.com, in pdf or postscript formats.

Alternatively please send three hard copies of your submission to:
Sarabjot Singh Anand
MINEit Software Limited
5a Edgewater Office Park,
Edgewater Road,
Belfast, Northern Ireland BT37 0QB

Hard copy submissions from the US may mail their papers to:
Bamshad Mobasher,
School of Computer Science, Telecommunication, and Information Systems,
DePaul University,
243 S. Wabash Ave.
Chicago, IL, 60604, USA

A selected number of the workshop accepted papers will be expanded and
revised for possible inclusion in
"Knowledge and Information Systems: An International Journal" by

Important Dates
Abstract Submission: 19 February, 2001
Paper Submission: 26 February, 2001
Notification of Acceptance: 30 March, 2001
Camera Ready Paper Due: 25 April, 2001
Worksop: 4 August, 2001

Programme Committee
Sarabjot Singh Anand (Co-chair), MINEit Software, Northern Ireland
Alex Büchner, NIKEL, Faculty of Informatics, Northern Ire land, UK
Robert Cooley, GroupFire, Inc., USA
Asuman Dogac, METU, Turkey
C. Lee Giles, NEC Research Institute, USA
Mark Levene, University College, London, UK
Jiming Liu, Hong Kong Baptist University, Hong Kong
Dunja Mladenic, Josef Stefan Institute, Slovenia
Bamshad Mobasher (Co-chair), DePaul University, USA
Maurice Mulvenna, MINEit Software, Northern Ireland, UK
Enric Plaza, Institut d'Investigació en Intel.ligència Artificial, Spain
John Riedl, Net Perceptions, USA
Barry Smyth, University College Dublin, Ireland
Myra Spiliopoulou, Humboldt University Berlin, Germany
Jaideep Srivastava, Yodlee.com, USA
Alex Tuzhilin, Stern School of Business, New York University, USA
Ning Zhong, Maebashi Institute of Technology, Japan

Sarabjot Singh Anand
Co-founder and CTO, MINEit Software Limited,
5a Edgewater Office Park, Edgewater Road, Belfast BT3 9JQ
Tel: +44 28 90503350; Fax: +44 28 90503351; Mobile: +44 780 8736991
Discover what's really going on at www.mineit.com

KDnuggets : News : 2000 : n25 : item36    (previous | next)

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