*** EXTENDED DEADLINE *** Workshop on Machine Learning in User Modeling (http://www.lib.demokritos.gr/callforpapers.htm) 6th July 1999 MACHINE LEARNING AND APPLICATIONS Advanced Course on Artificial Intelligence 1999 (ACAI'99) 5-16 July 1999, Chania, Greece (http://www.iit.demokritos.gr/skel/eetn/acai99) European Coordinating Committee on Artificial Intelligence (ECCAI) (http://www.eccai.org) & Hellenic Artificial Intelligence Society (EETN) (http://www.iit.demokritos.gr/skel/eetn) ** New deadline for paper submission: 15 March 1999 ** Updated schedule: 15 March, 1999 Deadline for paper submission 1 April, 1999 Notification of acceptance 20 April, 1999 Deadline for final ready papers 6 July, 1999 Workshop Submissions should be sent by email to: Dr. Christos Papatheodorou NCSR Demokritos - Library, Aghia Paraskevi 153 10, Athens, Greece Tel: +30-1-6545 427 Fax: +30-1-6522 965 Email: papatheodor@lib.demokritos.gr For further information, please check the following URL: (http://www.lib.demokritos.gr/callforpapers.htm) ** Note that the final programme for ACAI '99 is out. Check the school's home page for the details. ** ================================================================================================= Call For Papers and Participation Workshop on Machine Learning in User Modeling (http://www.lib.demokritos.gr/callforpapers.htm) MACHINE LEARNING AND APPLICATIONS Advanced Course on Artificial Intelligence 1999 (ACAI'99) 5-16 July 1999, Chania, Greece (http://www.iit.demokritos.gr/skel/eetn/acai99) European Coordinating Committee on Artificial Intelligence (ECCAI) (http://www.eccai.org) & Hellenic Artificial Intelligence Society (EETN) (http://www.iit.demokritos.gr/skel/eetn) Workshop Background User modeling technology aims to make information systems really user-friendly, by adapting the behaviour of the system to the needs of the individual. The importance of adding this capability to information systems is proven by the variety of areas in which user modelling has already been applied: information retrieval, filtering and extraction systems, adaptive user interfaces. A user model consists mainly of the individual preferences of the user as well as personal information about him/her. Information retrieval and filtering systems aim to deliver to the user those documents that are relevant to his/her requirements, whereas information extraction systems aim to deliver specific facts from those documents. Adaptive user interfaces are implemented exploiting user models, which contain information about the usage of the system by each user. These user models differ from those in information retrieval and filtering, because they contain mainly procedural information, specifying how the system is used by each user. Machine learning techniques have been applied to user modeling problems, for acquiring models of individual users interacting with an information system and grouping them into communities or stereotypes with common interests. This functionality is essential in order to have a useful and usable system that can modify its behavior over time and users. Machine learning techniques are looking promising in cases with very large usage data, like WWW sites, and in general in Internet applications (news filtering, digital libraries, search engines, etc.). In such applications, the information providers need a tool to help their users in separating the needed information, out the plethora of information on the net. Workshop Objectives The workshop aims to present the current trends and activities in exploiting Machine Learning techniques for User Modeling and more specifically for: - adaptive user interfaces, - construction of user communities and stereotypes, - learning agents for user modeling, - user modelling for customized web usage, - user modelling for educational hypermedia. Active exchange of ideas will be encouraged, as well technical topics will be discussed concerning the impact of Machine Learning in User Modeling, among researchers and professionals, information providers and software engineers who develop Internet or similar applications. Moreover the description of existing working systems will be strongly encouraged. Workshop Format o The workshop will take place during an afternoon session of ACAI'99. The afternoon sessions are planned to start at 14:30 and finish at 18:30. o The exact date of the Workshop will be finalised by the ACAI'99 organising committee by the end of December 1998. o Anyone registered for the main ACAI-99 event can attend the Workshop. For the workshop participants who won't be registered for the whole ACAI'99 there will be a fee of 100 ECU. Submission Format Interested authors are requested to submit a paper, of no more than 10 pages, before 15 March 1999. Submissions should be sent by e-mail to: Dr. Christos Papatheodorou NCSR Demokritos - Library, Aghia Paraskevi 153 10, Athens, Greece Tel: +30-1-6545 427 Fax: +30-1-6522 965 Email: papatheodor@lib.demokritos.gr Important Dates March 7, 1999 Deadline for full paper submissions March 20, 1999 Notification of acceptance or rejection March 30, 1999 Deadline for final versions of papers April 30, 1999 Early Registration June 15, 1999 Late Registration Organizing Committee D. Kalles, Computer Technology Institute - Univ of Patras, Greece (kalles@cti.gr) V. Karkaletsis, NCSR Demokritos - Institute of Informatics and Telecommunications, Greece (vangelis@iit.demokritos.gr) A. Moukas, MIT - Multimedia Lab, USA (moux@Frictionless.com) G. Paliouras, NCSR Demokritos - Institute of Informatics and Telecommunications, Greece (paliourg@iit.demokritos.gr) C.Papatheodorou (Chair), NCSR Demokritos - Library, Greece (papatheodor@lib.demokritos.gr) M. Spiliopoulou, Humboldt Univ. - Institut fuer Wirtschaftsinformatik, Germany (myra@wiwi.hu-berlin.de)