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Sat, 8 Mar 2014 21:22:49 +0100
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SoMeRA 2014: International Workshop on Social Media Retrieval and Analysis

http://www.cp.jku.at/conferences/SoMeRA2014/
http://www.easychair.org/conferences/?conf=somera2014
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in conjunction with the
37th annual international ACM SIGIR conference (SIGIR 2014)
http://sigir.org/sigir2014/

Gold Coast, Australia
July 11, 2014
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The International Workshop on Social Media Retrieval and Analysis 
(SoMeRA) is targeted at presenting cutting edge research on all topics 
of retrieval, recommendation, and browsing in social media, as well as 
on the analysis of userís multifaceted traces in social media. In 
particular, novel methods and ideas that address challenges such as 
large quantity and noisiness of user-generated multimedia data, user 
biases, cold-start problem, or integrating contextual aspects into 
retrieval and recommendation techniques are highly welcome. The workshop 
will further foster the exchange of ideas between different communities, 
in particular it aims at better connecting the multimedia and 
recommender systems communities with the information retrieval community.

Social media are fundamentally changing the way how we communicate. 
Nowadays, people create, share, and consume a huge number of multimedia 
material on the web and in particular on social platforms. Consequently, 
the amount of user-generated data (including content and contextual 
information of the users) has been spiraling during the past few years. 
Due to the fast growth of these corpora, it gets harder for the 
individual to find the media documents which satisfy a particular 
information need. When it comes to multimedia material in particular, 
the users might also exhibit an entertainment need, which may involve 
aspects of novelty, serendipity, familiarity, or popularity. However, 
current retrieval, recommendation, and browsing techniques often fall 
short to deal with multimodal user-generated data (including audio, 
image, video, text, and contextual data), in particular on a larger scale.
Satisfying the information- or entertainment need of users requires a 
comprehensive understanding of them, which can be gained to some extent 
by means of social media analysis and mining. Correspondingly, user 
models built from this knowledge will improve retrieval in social media, 
going far beyond text-based search which is still the most common paradigm.


Call for Papers
===============
SoMeRA 2014 solicits regular technical papers of up to 6 pages following 
the ACM author guidelines as well as short papers of up to 2 pages. 
Regular papers will be presented in an oral session. Short papers will 
be presented in a demo/poster session. Submissions must be original and 
not submitted to or accepted by any other conference or journal. All 
submissions will be peer-reviewed by at least three Program Committee 
members. The review process will be double-blind. Therefore, authors 
must conceal their identity (no author names, no affiliations, no 
acknowledgment of sponsors, no direct references to previous work).


Topics of Interest
==================
+ Models for retrieval in social media
+ Multimedia and cross-media recommendation
+ Context-aware retrieval and recommendation
+ Multimodal browsing interfaces
+ Large-scale multimedia content analysis
+ User modeling and personalization
+ Social network analysis
+ Semantic content analysis and indexing
+ Opinion mining and sentiment analysis
+ Information extraction from social media
+ Information visualization of social media data
+ Evaluation techniques targeted at social media
+ Novel data sets
+ Ranking and reranking


Important Dates
===============
Paper submission: April 18, 2014 (23:59, anywhere in the world)
Notification: May 14, 2014
Camera ready submission: May 30, 2014


Organizers / Program Chairs
===========================
Markus Schedl: Johannes Kepler University, Linz, Austria
Peter Knees: Johannes Kepler University, Linz, Austria
Jialie Shen: Singapore Management University, Singapore


Program Committee
=================
IvŠn Cantador: Universidad Autůnoma de Madrid, Spain
Mehdi Elahi: University of Bolzano-Bozen, Italy
Katayoun Farrahi: Goldsmiths, University of London, UK
Arthur Flexer: Austrian Research Institute for Artificial Intelligence, 
Vienna, Austria
Fabien Gouyon: Institute for Systems and Computer Engineering of Porto, 
Porto, Portugal
Shengbo Guo: Samsung Media Solution Center America, San Jose, USA
Bogdan Ionescu: University Politehnica of Bucharest, Romania
Noam Koenigstein: Microsoft R&D Center Herzliya; Tel Aviv University, Israel
Cynthia Liem: Delft University of Technology, the Netherlands
Dietmar Jannach: Technische Universitšt Dortmund, Germany
Brian McFee: Columbia University, New York, USA
Alan Said: Technische Universitšt Berlin, Germany
Giovanni Semeraro: Universitŗ degli Studi di Bari, Italy
Mohammad Soleymani: Imperial College London, UK
Sebastian Stober: University of Western Ontario, Canada
Markus Strohmaier: University of Koblenz-Landau, Germany
Douglas Turnbull: Ithaca College, NY, USA
Julian Urbano: Universitat Pompeu Fabra, Barcelona, Spain
Lin Wu: University of New South Wales, Sydney, Australia
Eva Zangerle: University of Innsbruck, Austria
Jian Zhang: University of Melbourne, Australia
Rui Zhang: University of Technology Sydney, Australia

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