CFP

WEBKDD 2001
Mining Log Data Across All Customer TouchPoints
http://robotics.Stanford.EDU/~ronnyk/WEBKDD2001
August 26, 2001, San Francisco, CA

Held in conjunction with the ACM-SIGKDD Conference on Knowledge Discovery in
Databases (KDD'2001)

Workshop description

The Web presents a key driving force in the rapid growth of electronic
commerce and a new channel for content providers. Rich web logs provide
companies with data about their customers and prospective customers,
allowing micro-segmentation and personalized interactions. Customer
acquisition costs in the hundreds of dollars per customer are common,
justifying heavy emphasis on correct targeting. Once customers are acquired,
customer retention becomes the target. Retention through customer
satisfaction and loyalty can be greatly improved by acquiring and exploiting
knowledge about these customers and their needs.
Although web logs are the source for valuable knowledge patterns, one should
keep in mind that the Web is only one of the interaction channels among a
company and its customers. Data obtained from conventional channels provide
invaluable knowledge on existing market segments, while mobile communication
adds further customer groups. In response, companies are beginning to
integrate multiple sources of data including web, wireless, call centers,
and brick-and-mortar store data into a single data warehouse that provides a
multifaceted view of their customers, their preferences, interests and
expectations.

The WEBKDD'01 workshop aims to bring together practitioners of web-commerce,
wap-commerce, call centers, and brick-and-mortar stores with tool vendors
and data mining researchers in order to foster the exchange of ideas and the
dissemination of emerging solutions related to customer interactions across
multiple touchpoints and to the customer retention policies that can be
derived from the analysis of these interactions.

Topics of interest

WEBKDD'01 calls for contributions related to data mining of log data and of
data obtained from multiple touch points, and to the exploitation of the
mining results in individualized products and services. These include the
following subjects:

* Enabling technologies
  - Data warehousing (both web and non-web data)
  - Data collection including event streams, such as click-streams and call
  center streams, and transactional data
  - Techniques for web data preparation, including cleansing,
  transformation, and sampling
  - Techniques for the integration of web data with data from other channels
  - Transforming mining patterns to economic values, such as return on
  investment, building brand, and improved loyalty.
  - Techniques for mining in real-time

* Customer profiling (both offline and online)
  - Customer profiles from integrated data sources
  - Recommender systems
  - Alert systems
  - Permission marketing
  - Intermediary services in the B2C relationship
  - Privacy issues and anonymization

* Applications for
  - Recommender systems, such as travel assistants
  - Alert systems, such as personalized delivery of news and journals
  - Personalized agents, such as monitors of stock exchange prices

Publication of proceedings

The workshop notes will be published by ACM and distributed during the
workshop. The full version of the accepted papers will be published by
(Springer-Verlag pending approval) after a second round of reviews.

Submission guidelines

Original papers are solicited on the above or related issues of web mining
for e-commerce. Submissions are of two types:

	*	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

Submissions should be in PDF or Postscript format.
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 webkdd@cs.stanford.edu or srivasta@cs.umn.edu

Important dates
	*	Abstracts due: April 30
	*	Papers due: May 14
	*	Notification of acceptance: June 18
	*	Camera ready: July 16
	*	Closing date for registration July 20
	*	Workshop: August 26

Organization
Program chairs
	* Dr. Ronny Kohavi
http://robotics.Stanford.EDU/~ronnyk/, ronnyk@bluemartini.com
	 Blue Martini Software, San Mateo, CA, USA

	* Brij Masand
bmasand@verilytics.com
	Verilytics, Waltham, MA 02451

	* Dr. Myra Spiliopoulou
http://www.wiwi.hu-berlin.de/~myra, myra@iti.cs.uni-magdeburg.de
	University of Magdeburg, Magdeburg, Germany

	* Dr. Jaideep Srivastava
srivasta@cs.umn.edu
	University of Minnesota  & amp; Yodlee, Redwood Shores, CA, USA

Program committee
TBD