SoMeRA 2014: International Workshop on Social Media Retrieval and Analysis in conjunction with the 37th annual international ACM SIGIR conference (SIGIR 2014)
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News |
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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. |
2014-07-27: A few posters and presentations online as PDF |
2014-07-08: Preproceedings online; SoMeRA will take place in Room 7 |
2014-06-08: Program announced |
2014-06-03: Camera-ready paper submission deadline: June 13, 2014 |
2014-05-29: Keynote speaker Prof. Tat-Seng Chua confirmed |
2014-05-23: Notifications announced - 5 papers will be presented as talks, 6 as posters |
2014-04-14:
Submission deadline extension announced
(April
25, 2014) |
2014-03-08: Preliminary TPC included on web page |
2014-03-04: Updated call for papers, dates announced |
2014-02-20: First
version of SoMeRA web
page launched |
Technical Program
09.00 - 09.15 | Opening and Welcome |
09.15 - 10.00 | Keynote Prof.
Tat-Seng Chua From Social Media Data to Actionable Analytics |
10.00 - 10.30 | Coffee |
10.30 - 11.30 | Paper Session (2
papers): Maram Hasanain; Rana Malhas; Tamer Elsayed. Query Performance Prediction for Microblog Search: A Preliminary Study Tarek El-Ganainy; Walid Magdy; Ahmed Rafea. Hyperlink-Extended Pseudo Relevance Feedback for Improved Microblog Retrieval |
11.30 - 13.15 | Lunch (own arrangements) |
13.15 - 14.55 | Poster Session (8
posters): Chen Wang; Sarvnaz Karimi. Differences Between Social Media and Regulatory Databases in Adverse Drug Reaction Discovery Alejandro Metke; Sarvnaz Karimi; Cecile Paris. Evaluation of Text Processing Algorithms for Adverse Drug Event Extraction from Social Media Zhongyu Wei, Wei Gao, Tarek El-Ganainy, Walid Magdy; Kam-Fai Wong. Ranking Model Selection and Fusion for Effective Microblog Search Gabriel Vigliensoni; Ichiro Fujinaga. Identifying time zones in a large dataset of music listening logs Dhiraj Joshi; Francine Chen; Lynn Wilcox. Finding Selfies of Users in Microblogged Photos Fatiha Sadat; Farnazeh Kazemi; Atefeh Farzindar. Automatic Identification of Arabic Dialects in Social Media Peter Knees. The Use of Social Media for Music Analysis and Creation Within the GiantSteps Project Markus Schedl. Social Media and Classical Music? - A first analysis within the PHENICX project: ``Performances as Highly Enriched aNd Interactive Concert eXperiences'' |
14.55 - 15.25 | Coffee |
15.25 - 16.55 | Paper Session (3
papers): Reyyan Yeniterzi; Jamie Callan. Constructing Effective and Efficient Topic-Specific Authority Networks for Expert Finding in Social Media Yekyung Kim; Bongwon Suh; Kyogu Lee. #nowplaying the Future Billboard: Mining Music Listening Behaviors of Twitter Users for Hit Song Prediction Stefano Mizzaro; Marco Pavan; Ivan Scagnetto; Martino Valenti. Short Text Categorization Exploiting Contextual Enrichment and External Knowledge |
16.55 - 17.15 | Wrap-up and Final Remarks |
Prof. Tat-Seng Chua
National University of Singapore |
Title: From Social Media
Data to Actionable Analytics Abstract: Given the popularity of social networks, users are sharing information on multiple aspects of their life on a wide variety of social networks. For any given topic, there are wide varieties of both social and non-social information from multiple sources. The challenges in social media analysis are multi-fold. The first and most fundamental problem is the ability to gather “representative” data about the topic from multiple sources. With the social media contents becoming increasingly multimedia, the next problem is how to infer user signals from non-textual contents. The third problem is the detection and tracking of sub-events on this topic. Finally, for most organizations, they would like to know what social media posts or sub-events related to them are likely to become viral, and what actions they can take. This talk describes a live social observatory system that we have developed and our research efforts to tackle the above challenges. In particular, we outline our research to transform unstructured social media data to descriptive, predictive and prescriptive analytics. Biography: Dr. Chua is the KITHCT Chair Professor at the School of Computing, National University of Singapore. He was the Acting and Founding Dean of the School during 1998-2000. His main research interest is in multimedia information retrieval and social media analysis. In particular, his research focuses on the extraction, retrieval and question-answering (QA) of text, video and live media arising from the Web and social networks. He is the co-Director of a multi-million-dollar joint Center between NUS and Tsinghua University to develop technologies for live social observatory. Dr. Chua is active in the international research community. He has organized and served as program committee member of numerous international conferences in the areas of multimedia, text processing and computer graphics. He was the conference co-chair of ACM Multimedia 2005, ACM CIVR 2005, and ACM SIGIR 2008. He serves in the editorial boards of: ACM Transactions of Information Systems (ACM), Foundation and Trends in Information Retrieval (NOW), The Visual Computer (Springer Verlag), and Multimedia Tools and Applications (Kluwer). He is the member of steering committee of ICMR (International Conference on Multimedia Retrieval) and Multimedia Modeling conference series. Dr Chua is the Director of several companies, including a publicly listed one in Singapore. |
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. 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
Paper
submission (extended!) |
April
18,
2014 April 25, 2014 (23:59, Anywhere on Earth) |
Notification | May 21, 2014 May 23, 2014 |
Camera ready submission for ACM DL | May 30, 2014 June 13, 2014 |
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
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 |
Università
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 |
Submissions will be managed by EasyChair. Please create a user account if you have not already done so, login and follow the instructions to submit a new paper. |
Markus
Schedl Department of Computational Perception Johannes Kepler University (JKU) Linz Altenberger Str. 69, A-4040 Linz, Austria Tel:
+43 732 2468 4716 |