TR-WEB20 2009 - ISDA 2009 Special Session, on Tags and Recommendations in Web 2.0: TR-WEB2.0

Website http://ailab.dimi.uniud.it/en/events/2009/tr-web20 | Edit Freely

Category TR-WEB20 2009

Deadline: May 31, 2009 | Date: November 30, 2009

Venue/Country: Pisa, Italy

Updated: 2010-06-04 19:32:22 (GMT+9)

Call For Papers - CFP

(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: tr-web20dimi.uniud.it

!!! 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 usersâ?™ 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 usersâ?™ 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 folksonomiesâ?™ 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/). 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