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 and acquisition
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:
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Enabling technologies
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Data warehousing (both web and non-web data)
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Data collection including event streams, such as click-streams and call
center streams, and transactional data
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Techniques for web data preparation, including cleansing, transformation,
and sampling
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Techniques for the integration of web data with data from other channels
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Transforming mining patterns to economic values, such as return on investment,
building brand, and improved loyalty
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Techniques for mining in real-time
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Customer profiling (both offline and online)
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Customer profiles from integrated data sources
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Recommender systems
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Alert systems
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Permission marketing
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Intermediary services in the B2C relationship
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Privacy issues and anonymization
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Applications for
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Recommender systems, such as travel assistants
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Alert systems, such as personalized delivery of news and journals
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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:
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Long papers (up to 5000 words -- including tables and figures) reporting
on new theoretical models, software tools and experimental studies
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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) in
plain ASCII format.
The paper submissions should be in PDF or Postscript format (compression
with gzip/winzip encouraged).
All submissions must be sent to webkdd@cs.stanford.edu
Important Dates
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Abstracts due: April 30
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Papers due: May 16
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Notification of acceptance: June 18
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Camera ready: July 16
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Closing date for registration July 20
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Workshop: August 26
Additional details are available at: http://robotics.Stanford.EDU/~ronnyk/WEBKDD2001/index.html
Updated March 3, 2001