CFPFrom: Sarabjot S. Anand email@example.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 http://www.mineit.com/lc/ijcai Overview -------- 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. Topics ------ 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 firstname.lastname@example.org, 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 Springer-Verlag. 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
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