IJDATS-Inderscience 2010 : Call for journal articles: Special Issue on User Modelling through Real Sense Media for Adaptive and Personalized Systems - IJDATS-Inderscience
Call For Papers
Inderscience - International Journal of Data Analysis Techniques and Strategies (IJDATS)
Call For papers
Special Issue on: "User Modelling through Real Sense Media for Adaptive and Personalized Systems"
Frederic Andres, National Institute of Informatics, Japan/CVCE, Luxembourg
Rajkumar Kannan, Bishop Heber College (Autonomous), India
George Ghinea, Brunel University, UK
Adaptive and personalized systems capture the users’ intentions and model them so as to adapt themselves according to the user or group of users for collaboration between users and systems and recommendations. User modelling is highly necessary in various applications such natural language understanding, dialogue systems, computer-based educational systems, online learning environments, computer supported collaboration systems, cooperative and decentralized systems, recommender systems for e-commerce, movies, news and entertainment, etc.
Currently, most of the user modelling systems capture users’ intentions, interests and preferences through textual formats. Thereby they do not leverage interests that are available in various other forms such as multimedia. Furthermore, recent advances in computing, networking and mobile media technologies help users to express their intentions involving all five human senses, which we call real sense media or multiple sense media.
This special issue aims at bringing out best practices, current research and promising trends in user modelling involving real sense media methods and techniques. Thus, adaptation systems can model users who are behind the request, their personal setting, their intentions, preferences and the context of the person with the ultimate goal of answering information requests with appropriate and relevant information.
Topics of interests include but not limited to the following:
Capturing user intentions through multiple senses media
Capturing user interests, preferences and affective states through multiple senses media
Modelling users knowledge, skills, needs, and preferences
Real sense media architectures for user modelling
Privacy and security for user modelling
Learning and prediction from user modelling
Performance issues of user modelling systems
Semantic metadata standards for user modelling
Platforms and environments for users
Applications such as e-commerce, e-health, e-learning, digital libraries, e-culture, recommender systems, IR systems, social networks, cooperative systems, e-agriculture, entertainment and gaming
Notes for Prospective Authors
Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere.
All papers are refereed through a peer review process. A guide for authors, sample copies and other relevant information for submitting papers are available on the Author Guidelines page
Manuscript due: 15 August, 2010
Notification of acceptance: 15 October, 2010
Revised paper due: 15 November, 2010
Submission of final revised paper: 30 November, 2010
Editors and Notes
You may send one copy in the form of a PDF file attached to an e-mail (details in Author Guidelines) to the following:
Prof. Rajkumar Kannan
Bishop Heber College (Autonomous)
Department of Computer Science
Prof. Frederic Andres
National Institute of Informatics, Tokyo, Japan