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SoMeRA 2015: 2nd International Workshop on Social Media Retrieval and
Analysis
http://www.cp.jku.at/conferences/SoMeRA2015/
in conjunction with the
IEEE International Conference on Data Mining (ICDM 2015)
Date: Nov 14, 2015
Location: Atlantic City, New Jersey, USA
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Call for Papers
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Social media has brought about a fundamental change in the way how we
communicate with each other and gain knowledge. Nowadays, the fast
emergence of social media portals (e.g., Facebook, Twitter, YouTube, and
Flickr) is influencing a wide range of online activities, including
content distribution, recommendation, and smart advertising. While basic
methodologies and tools created by data mining and information retrieval
communities have been around for decades, the fast growth of big media
and great advancements in intelligent systems create significant new
research questions and opportunities. Many of these cross the boundary
between several distinguished research disciplines and can only be
answered via combining the efforts from all of them. We believe the
ability to observe and analyze person-level behavior data on diverse
online search applications enables us to answer fundamental problems
with deep implications that go beyond traditional search engine
performance assessment. Meanwhile, it is very important to develop an
optimal approach to present and organize such kind of knowledge and
relate it to different preferences of users, exploiting diverse sources.
This would facilitate to design a more efficient and robust scheme to
extract the information from online interaction among users and between
users and different Web portals, and build novel applications to present
the information. Further, useful and impactful system development is a
key research focus for data mining and information retrieval scholars.
In a social media environment, some of the directions could be
“non-traditional” in that they generate novel models for special
purposes. Some of them may apply new data types or user context
information from external sources. Others will develop methodical
approaches and systematic frameworks for building such systems and
evaluating their performance. For the time being, there is no simple
answer to these challenges. But we believe addressing them properly will
eventually lead to better search and data mining algorithms and systems.
SoMeRA 2015 solicits regular technical papers of up to 6 pages following
the IEEE 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 include, but are not limited to:
* Models for retrieval in social media
* Multimedia and cross-media retrieval and recommendation
* Domain-specific social media mining and analytics, such as:
- Real-time popularity and trend detection (for people, movies, books,
etc.)
- New paradigms for linking social data and cultural data (e.g.,
classical compositions)
- Information extraction for music representation and composition support
- Business-driven social media analytics
* Context-aware retrieval and recommendation
* Multimodal browsing interfaces
* Large-scale multimedia content analysis
* User modeling and personalization
* Social network mining and 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
PC members (tentative, to be extended)
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Christine Bauer Vienna University of Economics and Business, Austria
Ivan Cantador Universidad Autónoma de Madrid, Spain
Zhiyong Cheng Singapore Management University, Singapore
Mehdi Elahi Polytechnic University of Milan, Italy
Katayoun Farrahi Goldsmith's University of London, UK
Arthur Flexer Austrian Research Institute for Artificial
Intelligence, Vienna, Austria
Bogdan Ionescu University Politehnica of Bucharest, Romania
Dietmar Jannach TU Dortmund, Germany
Cynthia Liem Delft University of Technology, Netherlands
Liqiang Nie National University of Singapore
Kjetil Nørvåg Norwegian University of Science and Technology,
Trondheim, Norway
Francesco Ricci Free University of Bozen/Bolzano, Italy
Sebastian Stober Western University, Canada
Julián Urbano Universitat Pompeu Fabra, Barcelona, Spain
Lin Wu University of Adelaide, North Terrace, Australia
Eva Zangerle University of Innsbruck, Austria
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Dr. Markus Schedl
Associate Professor
Department of Computational Perception
Johannes Kepler University Linz
Altenberger Strasse 69
A-4040 Linz, Austria
Computer Science Building (SCP3)
Room 442 (4th Floor)
Tel: +43 732 2468 4716
Fax: +43 732 2468 4705
Mail: markus.schedl@jku.at
http://www.cp.jku.at/people/schedl
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