---------- Forwarded Message ---------- Subject: [GI-FB5-L] Call for Papers - Web KDD 2001 Date: Thu, 1 Mar 2001 14:34:40 -0800 From: Jaideep Srivastava Jaideep@yodlee.com To: "'kdw@immd6.informatik.uni-erlangen.de'" kdw@immd6.informatik.uni-erlangen.de, "'fg-db@informatik.uni-rostock.de'" fg-db@informatik.uni-rostock.de, "'gi-fb5-l@aifb.uni-karlsruhe.de'" gi-fb5-l@aifb.uni-karlsruhe.de, "'ah@win.tue.nl'" ah@win.tue.nl, "'datamine-l@nautilus-sys.com'" datamine-l@nautilus-sys.com, "'editor@kdnuggets.com'" editor@kdnuggets.com Cc: "'webkdd@cs.stanford.edu'" webkdd@cs.stanford.edu

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 mailto:webkdd@cs.stanford.edu or srivasta@cs.umn.edu mailto: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 mailto:ronnyk@bluemartini.com), Blue Martini Software, San Mateo, CA, USA * Brij Masand (bmasand@verilytics.com mailto:bmasand@verilytics.com), Verilytics, Waltham, MA 02451 * Dr. Myra Spiliopoulou http://www.wiwi.hu-berlin.de/~myra (myra@iti.cs.uni-magdeburg.de mailto:myra@iti.cs.uni-magdeburg.de), University of Magdeburg, Magdeburg, Germany * Dr. Jaideep Srivastava (srivasta@cs.umn.edu mailto:srivasta@cs.umn.edu), University of Minnesota & Yodlee, Redwood Shores, CA, USA Program committee TBD

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