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2nd CfP: SIGIR 2014 Workshop on Social Media Retrieval and Analysis (SoMeRA)

From: Peter Knees <peter.knees@jku.at>
Date: Tue, 8 Apr 2014 18:32:39 +0200
Message-Id: <2EAF3418-E902-4B74-B842-E6EEBD5CC19C@jku.at>
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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 user’s 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. The gained knowledge also enables intelligently informed and enriched applications in various media domains.


Call for Papers
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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
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+ Models for retrieval in social media
+ Multimedia and cross-media retrieval and recommendation
+ Domain-specific social media analysis for multimedia, such as:
 – Real-time popularity and trend detection (for music, movies, books, etc.)
 – New paradigms for linking social data and cultural data (e.g., classical compositions)
 – Information extraction for music representation and composition support
+ 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
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Paper submission: April 18, 2014 (23:59, anywhere in the world)
Notification: May 14, 2014
Camera ready submission: May 30, 2014


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


Program Committee
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Christine Bauer: Vienna University of Economics and Business, Austria
Bettina Berendt: Katholieke Universiteit Leuven, Belgium
Iván Cantador: Universidad Autónoma 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 Universität Dortmund, Germany
Brian McFee: Columbia University, New York, USA
Nicola Orio: University of Padova, Italy
Jeremy Pickens: Catalyst Repository Systems, Denver, CO, USA
Alan Said: Technische Universität Berlin, Germany
Giovanni Semeraro: Universitŕ 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



-- 
Dr. Peter Knees
Assistant Professor
Department of Computational Perception     Tel: +43 732 2468 4711
Johannes Kepler University Linz            Fax: +43 732 2468 4705
Altenberger Str. 69                            peter.knees@jku.at
4040 Linz, Austria              http://www.cp.jku.at/people/knees
Received on Tuesday, 8 April 2014 16:34:20 UTC

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