SoMeRA 2015: 2nd International Workshop on Social Media Retrieval and Analysis in conjunction with the IEEE International Conference on Data Mining (ICDM 2015)
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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, browsing, and data mining 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 information
retrieval and recommender
systems communities with the data mining community. |
2015-09-29: Program and room announced. |
2015-08-29: Submission of camera-ready versions due Septemer 10, 2015. |
2015-07-17: Deadline extension to August 2, 2015. |
2015-05-08: Tentative list of program committee members online. |
2015-04-01: First
version of SoMeRA 2015 web
page launched. |
08.30 - 08:45 | Opening and Welcome |
8:45 - 10:00 | Paper Session (each
talk: 20 mins presentation + 5 mins discussion): Martin Pichl, Eva Zangerle, and Günther Specht - "Towards a Context-Aware Music Recommendation Approach: What is Hidden in the Playlist Name?" Markus Schedl - "Towards Personalizing Classical Music Recommendations" Mochamad Ibrahim, Omar Abdillah, Alfan Farizki Wicaksono, and Mirna Adriani - "Political Sentiment Analysis for Predicting Presidential Election Results in A Twitter Nation" |
10.00 - 10.15 | Coffee break |
10.15 - 12.20 | Paper Session (each
talk: 20 mins presentation + 5 mins discussion): Yagmur Gizem Cinar, Susana Zoghbi, and Marie-Francine Moens - "Inferring User Interests on Social Media From Text and Images" Kuan-Hsi Chen, Yuh-Jyh Hu, and Tyne Liang - "A Two-Stage Learning Method for Response Prediction" Paulo R. Cavalin, Luis G. Moyano, and Pedro P. Miranda - "A Multiple Classifier System for Classifying Life Events on Social Media" Shatha Jaradat, Nima Dokoohaki, and Mihhail Matskin - "OLLDA: A Supervised and Dynamic Topic Mining Framework in Twitter" Ge Zhou, Lu Yu, Chu-Xu Zhang, Chuang Liu, Zi-Ke Zhang, and Jianlin Zhang - "A novel approach for generating personalized mention list on micro-blogging system" |
12:20 - 12.30 | Wrap-up and final remarks |
Social
media
are fundamentally changing the way how we communicate and discover
knowledge. 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. The
faster the growth of these corpora, the harder it gets for the
individual to find the media documents which satisfy a particular need
for information and knowledge. 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. 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 two 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
Paper
submission |
August 2, 2015 July
20, 2015 (23:59, anywhere on earth) |
Notification | September 1, 2015 |
Submission of camera-ready version | September 10, 2015 |
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 (confirmed, to
be extended)
Christine Bauer | Vienna University of Economics and Business, Austria |
Ivan Cantador | Universidad Autónoma de Madrid, Spain |
Zhiyong Cheng | Singapore Management University |
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 | Technical University Dortmund, Germany |
Cynthia Liem | Delft University of Technology, Netherlands |
Liqiang Nie | National University of Singapore |
Kjetil
Nørvåg |
Norwegian University of Science and Technology,
Trondheim |
Francesco Ricci | Free University of Bozen/Bolzano, Italy |
Giovanni Semeraro | University of Bari, Italy |
Marcin Skowron | Austrian Research Institute for Artificial Intelligence, Vienna, Austria |
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 |
Please submit your contribution via the submission system. |
Jialie
Shen Singapore Management University, Singapore E-Mail: jlshen [at] smu [dot] edu [dot] sg Markus Schedl Department of Computational Perception Johannes Kepler University (JKU) Linz E-Mail: markus [dot] schedl [at] jku [dot] at Peter Knees Department of Computational Perception Johannes Kepler University (JKU) Linz E-Mail: peter [dot] knees [at] jku [dot] at |