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Call for Papers
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++ LUC 2012 ++
++ ++
++ International Workshop on Learning from User-generated Content ++
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http://www.cp.jku.at/conferences/LUC2012
In conjunction with the
29th International Conference on Machine Learning (ICML 2012)
Edinburgh, UK, June 26–July 1, 2012
The International Workshop on Learning from User-generated Content (LUC)
serves as a forum for theoretical and practical discussions of cutting
edge research on machine learning technologies for multimedia information
retrieval. Topics covered include all aspects of machine learning with a
relation to social media and user-generated content, in particular,
(social) web mining, multimedia information extraction, retrieval, and
recommendation as well as mobile applications and services that make use
of machine learning and Web technology. Submissions addressing concrete
implementations of systems and services by both academic institutions and
industrial companies are also welcome.
Call for Papers:
----------------
While the amount of user-generated content has been skyrocketing since the
advent of social media and social networks, intelligent approaches to process
and make sense of these huge masses of data produced by over a billion users
are rather rare so far.
Hence, we solicit innovative technical papers with a focus on user-generated
content and addressing problems in the fields of machine learning, multimedia,
or information retrieval. Also contributions that combine two or more of
these fields are highly welcome.
We invite authors to submit *** regular technical papers of up to 8 pages ***
as well as *** short position or demo papers of 2-4 pages ***.
Regardless of their category, submissions must follow the ACM author
guidelines. Paper submissions must be original and not submitted to or
accepted by any other conference or journal. All submissions to this workshop
will be peer-reviewed by at least three Program Committee members.
The review process will be double-blind.
Submissions tackling, for example, one of the following challenges are
highly welcome:
Explore the usage of several types of social data, including ratings,
reviews, tags, comments, hyperlinks, geo-located data, linked data,
multimedia items, and playlists.
Extract from these raw data several types of knowledge (users and data):
relations, user opinions, user preferences, semantic
relationships/description of multimedia objects, sentiment analysis,
community detection
Exploit novel data mining and information retrieval techniques:
expert finding, recommendation computation, similarity evaluation, network
analysis, information visualization, multimedia retrieval, semantic
indexing, evaluation of systems with implicit data from social media,
social and human computation
Define new information search problems:
context-dependent recommendation, definition of key users, identification
of relevant locations, cross-domain multimedia recommendation, games and
multimedia, cross-modal social content analysis
Evaluate the benefits of such techniques:
live users experiments, new off-line evaluation methods
Topics of Interest:
-------------------
- Social Media and Network Analysis
- Social Media Mining
- Influential User Detection and Analysis
- Information Extraction and Knowledge Harvesting from User-generated Data
- Information Visualization in Social Media
- Multimedia Retrieval
- Tagging and Games with a Purpose
- Semantic Content Analysis and Indexing
- Opinion Mining and Sentiment Analysis
- Large-Scale Similarity Measurement, Scalability Issues and Solutions
- Evaluation, Mining of Ground Truth and Data Collections
- Semantic Web, Linked Data, Ontologies, Semantics and Reasoning
- Novel Machine Learning Algorithms Tailored to Social Media
Organizers/Program Chairs:
--------------------------
Masataka Goto AIST, Tsukuba, Japan
Gert Lanckriet University of California, San Diego, USA
Francesco Ricci Free University of Bozen-Bolzano, Italy
Markus Schedl Johannes Kepler University, Linz, Austria
Julián Urbano University Carlos III of Madrid, Spain
Program Committee:
------------------
Alexandre Benoit Université de Savoie, Annecy, France
Bettina Berendt Katholieke Universiteit Leuven, the Netherlands
Iván Cantador Universidad Autónoma de Madrid, Spain
Daniel Gayo University of Oviedo, Spain
Shengbo Guo Xerox Research Centre Europe, Meylan, France
Maarten Grachten Johannes Kepler University, Linz, Austria
David Hauger Johannes Kepler University, Linz, Austria
Bogdan Ionescu University Politehnica of Bucharest, Romania
Dietmar Jannach Technische Universität Dortmund, Germany
Yiannis Kompatsiaris Centre for Research and Technology Hellas, Greece
Cynthia Liem Delft University of Technology, the Netherlands
Tao Mei Microsoft Research Asia, Beijing, China
Winter Mason Howe School of Technology Management, Hoboken, NJ, USA
Bamshad Mobasher DePaul University, Chicago, IL, USA
Tomas Piatrik Queen Mary University of London, UK
Rafael Ramirez Universitat Pompeu Fabra, Barcelona, Spain
Naeem Ramzan Queen Mary University of London, UK
Giovanni Semeraro Universitŕ degli Studi di Bari, Italy
Mohammad Soleymani University of Geneva, Switzerland
Julian Stöttinger University of Trento, Italy
Markus Strohmaier Graz University of Technology, Austria
Arjen de Vries Centrum Wiskunde& Informatica (CWI), Amsterdam, NL
Kazuyoshi Yoshii AIST, Tsukuba, Japan
Important Dates:
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Paper Submission 07-05-2012
Notification 21-05-2012
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++ http://www.cp.jku.at/conferences/LUC2012 ++
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