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Subject:
From:
Styliani Kleanthous <[log in to unmask]>
Reply To:
Styliani Kleanthous <[log in to unmask]>
Date:
Tue, 26 May 2009 15:17:11 +0100
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2nd CALL FOR PAPERS
 
**********************************************************************
                            Special Session
*TR-WEB2.0: Tags and Recommendations in Web 2.0*
(http://ailab.dimi.uniud.it/en/events/2009/tr-web20/)
in connection with
ISDA 2009, November 30 - December 2, 2009, Pisa, Italy
**********************************************************************
 
 
/Web site/: http://ailab.dimi.uniud.it/en/events/2009/ap-web20/
/Contact e-mail/: mailto: [log in to unmask] 
<mailto:[log in to unmask]>
 
*!!! Paper submission deadline: May 31th, 2009!!!*
 
 
 
                               * DESCRIPTION*
 
/*Motivation*/
The Web 2.0 world provides users with tools for generating a growing and 
meaningful part of Web contents; in fact, everyday an increasing number 
of users collaborates by sharing/publishing resources, associating tags 
on documents, and remixing existing contents. This process of 
information and knowledge construction increases the amount of resources 
making hard manual tasks such as the retrieval of interesting contents, 
or the selection of meaningful tags for classifying documents.   
 
Collaborative tagging systems, such as del.icio.us or bibsonomy, are 
popular examples of tools, which allow users to conceptualize, describe, 
and share resources. Users can assign a set of tags simplifying the 
search of bookmarked resources and providing indications to other peers. 
But, actually there is not effective usage of tags: typically tags are 
applied just for a personal consumption and people associate different 
meaning to the same tag; tagging systems are not based on well defined 
vocabularies, and so many tags do not provide any help to a user. 
Recommender systems aim at reducing the effort required to users, by 
modeling users' preferences and goals. The Web 2.0 philosophy creates a 
new role for the user which can be modeled both as a consumer of 
information and as a producer of new contents. But the development of 
recommendation frameworks based on the analysis of tags is still an open 
challenge.  
 
This special session aims at discussing the state-of-art, open problems, 
challenges and innovative approaches in designing and developing 
intelligent mechanism for personalized collaborative tagging systems. In 
particular, we are interested in  algorithms and frameworks able to 
model users in social tagging environment and provide user with tags for 
simplifying the organization of interesting resources and with 
suggestions concerning resources filling the users information needs.
 
/*Objectives*/
This special session aims at discussing the state-of-the-art, open 
problems, challenges and innovative research approaches in recommending 
tags and resources in social tagging systems.
Examples of stimulating application fields are recommendation in social 
bookmarking environments, publication sharing systems, or, more in 
general, digital libraries 2.0.
Three specific questions motivate this special session:
 
1. How users' interests, goals and preferences can be modeled in social 
tagging systems?
 
2. What models, techniques, and tools are the most adequate in order to 
overcome folksonomies' limitations and to provide plausible and useful 
recommendations?
 
3. How much the usage of tags for generating recommendations can improve 
results of other existing recommender systems?
 
 
 
 
                                     *TOPICS*
 
The topics of interest for the workshop are listed below. All them have 
to be considered in the context of social tagging systems.
Topics not explicitly listed below, which anyway adhere to the goals of 
the special session, will be considered as well.
 
/* General*/
 
    * Intelligent tag recommendation in social tagging systems
    * Recommending  new contents using tags
    * Algorithms and metrics for recommendation in social tagging systems
    * Personalized ranking
    * User profile construction based on tagging and annotations
    * Automatic tagging
    * Collaborative filtering in social tagging systems
    * Social navigation support
    * Social search and browsing
    * Ontology-based computer supported tagging
    * Hybrid recommender systems for tagging
    * Evaluating tag recommender systems
    * Explanation and evaluation in recommender systems
    * Web 2.0 technologies for tag recommender systems
    * Scalability problems in tag recommender systems
 
/*Interesting application fields*/
    * Publication sharing systems
    * Digital libraries 2.0
    * Social networks
    * Collaborative search engines
    * E-Learning and knowledge management environments
 
 
 
                             *SUBMISSION GUIDELINES*
 
/*Proceedings*/
All papers, accepted for this special session, will be included in the 
proceedings of ISDA'09 and in the IEEE Xplore digital library 
(IEL, http://ieeexplore.ieee.org/) <http://ieeexplore.ieee.org/%29>. 
Before publishing your final work at IEL, we need your kind help to 
ensure the availability and the compatibility of your camera-ready paper.
 
/*Formating Instructions*/
Formating instructions can be foundhere and also templates for Word and 
LaTeX .
 
/*Submission*/
Authors should submit papers using our EasyChair associated site:
http://www.easychair.org/conferences/?conf=isda09
 
/*Deadlines*/
Paper submission deadline: May 31th, 2009
Notification of acceptance: July 25th, 2009
Camera-ready copy of accepted paper: September 15th, 2009
 
                                
                             *COMMITTEES*
* *
/*Program Chairs*/
Antonina Dattolo - Artificial Intelligence Lab, Department of 
Mathematics and Computer Science, University of Udine, Italy.
Carlo Tasso - Artificial Intelligence Lab, Department of Mathematics and 
Computer Science, University of Udine, Italy.
 
/*Program Committee*/ 
Robin Burke, DePaul University, Chicago
Peter Dolog, Aalborg University, Denmark
Eelco Herder, L3S Research Center, Hannover, Germany
Gilles Hubert, IRIT, Toulouse, France
Styliani Kleanthous - University of Leeds, UK
Francesco Ricci, Free University of Bozen-Bolzano, Italy
PierGiuseppe Rossi, University of Macerata, Italy
Giovanni Semeraro, University of Bari, Italy
Fabio Vitali, University of Bologna, Italy

Styliani Kleanthous
School of Computing
University of Leeds
www.comp.leeds.ac.uk/stellak

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