Call-for-Papers and Participation
2005 International Workshop on Customer Relationship Management
                          Data Mining Meets Marketing

               November 18-19, 2005, New York City, USA
                      (www.stern.nyu.edu/crmworkshop)

IMPORTANT DATES:
Submission deadline:    June 20, 2005
Notification:           August 20, 2005
Camera-ready due:      September, 20, 2005

PUBLICATIONS:
Accepted papers will be initially published as workshop notes and
distributed during the workshop. Selected papers will be invited for
submission to planned special issues on CRM of the IEEE Transactions
on Knowledge and Data Engineering and the Journal of Interactive
Marketing.

This is the first multidisciplinary workshop on Customer Relationship
Management (CRM). We aim to bring together researchers and practitioners
from technological and business areas to promote an interdisciplinary
focus on CRM. In the last decade, CRM emerged to reflect the central
role of customers for the strategic positioning of a company. Its goal
is not just to offer excellent products and services but to get, keep
and grow the best customers and to treat different customers differently.
CRM takes a holistic view of customers. It encompasses all measures
of understanding the customers and of exploiting this knowledge to design
and implement marketing activities, align production and coordinate the
supply-chain. CRM emphasizes the coordination of such measures and
integration of customer-related data, meta-data and knowledge, and the
centralized planning and evaluation of measures to increase customer
lifetime value. To achieve these objectives, CRM solutions should
integrate marketing, technical, and operational problems into one
synergistic system. Although this point of view has been adopted by
all the major CRM vendors, including Oracle, Microsoft, Siebel, SAP and
Teradata, who develop their CRM products from both technological and
marketing perspectives, the academic community primarily focused on the
CRM aspects pertaining to their academic disciplines with limited
interactions across the disciplines.

The aim of this workshop is to break these "technology" and "marketing"
silos and to bring together researchers and practitioners from related
research communities to interact with one another, to share problems,
to present new results and ultimately to generate innovative ideas.
We strongly believe that such interactions are crucial for making major
progress in this interdisciplinary field. Therefore, in this first
workshop, we particularly want to engage researchers from Marketing,
Information Systems and Computer Science communities. Strong industrial
participation is also expected. To bridge the academic divide between
different communities, we encourage researchers from one discipline to
focus not only on the CRM problems pertaining to their discipline, but
also to address implications for other disciplines arising from their
studies.

We invite submissions on the following and other topics pertaining to CRM:

Customer segmentation methods
Building customer models and profiles
Mining structured, semi-structured and unstructured data
Mining e-commerce clickstream/usage data
Event monitoring and triggering
Collecting, extracting, analyzing consumer opinion data
Collecting, integrating, organizing, storing customer data
Personalization and recommender systems
Contact center modeling; analysis of contact center data
Discovering trends and customer intelligence
Visualization of customer data
Methods for building learning relationships with customers
Customers as assets
Customer retention strategies and campaign management
Generation and management of lists of customers
Models and metrics for valuing customers over their life time
Interactive marketing and selling strategies and methods
Cross- and up-selling strategies and methods
Customer service management
Managing customer interaction cycle (including Web based)
Mass customization
Contact management and lead capture
Self-service and e-CRM
Flexible (dynamic) pricing

SUBMISSION GUIDELINES:
Submitted papers should not exceed 10 pages, single-spaced, single
column, 12 point font, including all figures, tables, and references.
Please email your paper in the PDF format to
crm.marketing@stern.nyu.edu (marketing track) and
crm.technical@stern.nyu.edu (data mining track).

WORKSHOP CHAIRS:
Alexander Tuzhilin, New York University, USA
Russ Winer, New York University, USA

WORKSHOP ORGANIZERS:

Data Mining Track:
Bing Liu, University of Illinois at Chicago, USA
Myra Spiliopoulou, University Magdeburg, Germany
Jaideep Srivastava, University of Minnesota, USA

Marketing Track:
Eitan Muller, NYU and Tel Aviv University, Israel
Venky Shankar, Texas A&M University, USA
Joel Steckel, New York University, USA