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
- Pevised 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@pwr.wroc.pl
Fax: +48-71-320-34-53