MSM 2013 - International Workshop on Mining, Modeling and Recommending 'Things' in Social Media (MSM'13)

In our first workshop on Modeling Social Media (MSM 2010 in Toronto, Canada), we explored various different models of social media ranging from user modeling, hypertext models, software engineering models, sociological models and framework models. In our second workshop (MSM 2011 in Boston, USA), we addressed the user interface aspects of modeling social media. In our third workshop (MSM 2012 in Milwaukee, USA), we looked at the collective intelligence in social media, i.e. making sense of the content and context from social media websites such as Facebook, Twitter, Google+ and Foursquare by analyzing tweets, tags, blog posts, likes, posts and check-ins, in order to create a new knowledge and semantic meaning. With this year's workshop we aim to attract researchers from all over the world working in the field of social media mining, modeling and end-user applications. In particular, we would like to invite researchers working on the important field of "recommender systems" for social media which is gaining more and more in importance due to the increasing information overload problem.
The goal of this workshop is to continue our vibrant discussion on social media mining and modelling with a special focus on recommender systems for social media applications. Hence, the workshop aims to attract and discuss various novel aspects of social media mining, modelling and doing recommendations on top of these data/models. In short the workshop invites topics such as social media mining methods/techniques, novel approaches to model users or things in social media, frameworks to harvest and/or display social media data and new social media recommender methods/techniques/algorithms or interfaces supporting users for instance in information finding, meta-data application etc. Thus, our goal is to bring together researchers and practitioners from all over the world with diverse backgrounds interested in 1) exploring different perspectives and approaches to mine (complex) and analyse social media data, 2) modelling social media users and 3) building applications such as recommender systems on top of this data/models.
Topics of Interest
Topics may include, but are not limited to:
novel mining methods/techniques or approaches for social media
novel approaches to model users or things in social media
novel frameworks to harvest and/or display social media data
novel recommender methods/techniques/algorithms or interfaces to recommend 'things' to people in social media
new visualisation approaches for recommender systems in social media
evaluation methods/techniques/reports for mining/modelling or recommending things/people in social media
privacy and security issues or constraints in social media mining/modelling and recommendations
scalability issues of mining, modelling and recommending people/things/etc. in social media
novel (social media) datasets (incl. a detailed description) which are of potential interest for researchers all over the world working in the field of social media mining/modelling/analytics and/or recommender systems
We also encourage submissions which relate research results from other areas to the workshop topics.
Workshop Organizers
Alvin Chin, Nokia, Beijing, China
Martin Atzmueller, University of Kassel, Germany
Christoph Trattner, Graz University of Technology, Austria
Program Committee
Alejandro Bellogin, Universidad Autónoma de Madrid, Spain
Robin Burke, de Paul, USA
Javier Luis Canovas, Izquierdo INRIA, France
Ed Chi, Google, USA
Padraig Cunningham, University College Dublin, Ireland
Munmun De Choudhury, Microsoft Research, USA
Daniel Gayo-Avello, University of Oviedo, Spain
Michael Granitzer, University of Passau, Germany
Geert-Jan Houben, TU-Delft, Netherlands
Alexander Felfernig, TU-Graz, Austria
Jill Freyne, CSIRO ICT Center, Australia
Kris Jack, Mendeley, UK
Thomas Kannampallil, University of Texas, USA
Alexandros Karatzoglou, Telefonica, Spain
Claudia Müller-Birn, FU Berlin, Germany
Else Nygren, Uppsala University, Sweden
Denis Parra, University of Pittsburgh, USA
Haggai Roitman, IBM Research, Israel
Alan Said, TU- Berlin, Germany
James She, Hong Kong University of Science and Technology, Hong Kong
Markus Strohmaier, TU Graz, Austria
Gerd Stumme, University of Kassel, Germany
Claudia Wagner, Joanneum Research, Austria
Zhiyong Yu, Institut Telecom Sud de Paris, France
Shengdong Zhao, National University of Singapore, Singapore
Arkaitz Zubiaga, New York City University, USA