ACM SIGCHI General Interest Announcements (Mailing List)


Options: Use Forum View

Use Monospaced Font
Show Text Part by Default
Condense Mail Headers

Message: [<< First] [< Prev] [Next >] [Last >>]
Topic: [<< First] [< Prev] [Next >] [Last >>]
Author: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
text/plain; charset=utf-8; format=flowed
Tue, 19 May 2015 13:04:05 +0200
Markus Schedl <[log in to unmask]>
"ACM SIGCHI General Interest Announcements (Mailing List)" <[log in to unmask]>
Markus Schedl <[log in to unmask]>
text/plain (135 lines)
[Apologies for cross-posting.]

SoMeRA 2015: 2nd International Workshop on Social Media Retrieval and 

in conjunction with the
IEEE International Conference on Data Mining (ICDM 2015)

Date: Nov 14, 2015
Location: Atlantic City, New Jersey, USA

Call for Papers
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, 
		- 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)
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

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: [log in to unmask]

    For news of CHI books, courses & software, join CHI-RESOURCES
     mailto: [log in to unmask]

    To unsubscribe from CHI-ANNOUNCEMENTS send an email to
     mailto:[log in to unmask]

    For further details of CHI lists see