[ieeetcsc-discuss] Recommender Systems -- CFP

[Marcin Paprzycki]

New Generation Computing
Special Issue Call for Papers


New Generation Computing welcomes contributions for a special issue:
Web-based Recommendation Systems Technologies and Applications
Edited by Janusz Sobecki
(Planned for Vol.26, No.3 May 2008)


Web-based Recommender Systems are recently applied to provide different 
type of customized information for their users. They are applied in many 
areas such as: web-browsing, information filtering, net-news or movie 
recommender, and E-commerce.  The central element of all recommender 
systems is the user model that contains knowledge about the individual 
preferences which determine his or her behavior in a complex environment 
of web-based systems. User modeling as well as recommender systems are 
characterized by cross-fertilization of various research fields such as: 
Information Retrieval, Artificial Intelligence, Knowledge 
Representation, Discovery and Data/Text Mining, Computational Learning 
and Intelligent and Adaptive Agents. The alternating information 
environment that is combined of various users, their needs and contexts 
of use as well as different system platforms necessitates application of 
recommender systems.


TOPICS

The guest editor welcomes the submission of original papers addressing 
the problems of Web-based Recommender Systems technologies and their 
applications. Authors should submit papers presenting novel approaches 
for existing problems as well as original and significant results in 
theoretical, methodological and application aspects.
Theory papers should present significant results and applications papers 
should demonstrate precise practical evaluations and/or comparisons that 
clearly make their technical and scientific contribution.
Topics of interest include, but are not limited to following areas:
•        E-learning in the web environment
•        Hyperlink recommendation
•        Information retrieval and filtering
•        Mobile recommender systems
•        Multi-agent systems
•        Personalization processes
•        Product recommendation
•        User interface recommendation
•        Web browsing

The intent of the editor is to give priority to contributions to the 
Workshop on Recommender Agents and Adaptive Web-based Systems that was 
organized at KES 2006 Conference, as well as some other contributions on 
Recommender Systems presented at KES 2006 and KES 2005.

Special Issue Program Committee

Mária Bieliková, Slovak University of Technology, Slovakia
David Bueno Vallejo, Universidad de Málaga, Spain
Frantisek Capkovic, Slovak Acad. of Sciences, Slovakia,
Paul Davidsson, Blekinge Institute of Technology, Sweden
Luminita Dumitriu, University "Dunarea de Jos", Romania
Paolo Giorgini, University of Trento, Italy
Jason Jung, Inha University, Korea
Lenka Lhotska, Czech Technical University, Czech Republic
Beatriz López, Universitat de Girona, Spain
Dunja Mladenic, Jozef Stefan Institute, Slovenia
Ngoc Thanh Nguyen, Wroclaw University of Technology, Poland
Anton Nijholt, Univeristy of Twente, The Netherland
Marcin Paprzycki, SWPS and IBS PAN, Poland
Anthony Savidis, ICS-FORTH, Greece
Vittorio Scarano, Università di Salerno, Italy
Marcus Specht, Open University of the Netherlands, The Netherland
Christian Stary, University of Linz, Austria


Important Dates
•	Paper submission deadline: August 31st, 2007
•	Notification of paper acceptance (by e-mail): November 15th, 2007
•	Revised version submission deadline: December 15th, 2007
•	Camera-ready copies of accepted papers due: January 15th, 2008
To be fully considered for publication, papers must be received by the 
due date and meet the following requirements. Papers must be written in 
English and final versions should be from 15 to 25 pages long (incl. 
figures). The electronic data of the final version of papers must be 
prepared in NGC style (please see the instruction in 
http://www.ohmsha.co.jp/ngc/). The paper version submitted for the 
revision should be send in an electronic version (.pdf) to the
e-mail address listed below.

Janusz Sobecki
Wroclaw University of Technology
Wyb. Wyspianskiego 27, 50-370 Wroclaw, POLAND
E-mail: sobecki at pwr.wroc.pl
Fax: +48-71-320-34-53