SoMeRA 2014 - International Workshop on Social Media Retrieval and Analysis

The SoMeRA 2014 workshop will present and discuss 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. The workshop will feature both oral presentations (full papers) and poster/demo presentations (short papers).
Markus Schedl is an assistant professor at the Department of Computational Perception at the Johannes Kepler University (JKU) Linz. He graduated in Computer Science from the Vienna University of Technology and earned his Ph.D. from the JKU. He further holds a Master's degree in International Business Administration from the Vienna University of Economics and Business Administration. Markus (co-)authored more than 80 refereed conference papers and journal articles (for instance, published in ACM SIGIR, ECIR, Transactions on Information Systems, and Information Retrieval. Furthermore, he serves on various program committees and reviewed submissions to several conferences and journals (among others, ACM Multimedia, ECIR, IJCAI, ICASSP, IEEE Visualization; IEEE Transactions of Multimedia, Data & Knowledge Engineering, ACM Transactions on Intelligent Systems and Technology, Multimedia Systems, Information Retrieval). His main research interests include social media mining, multimedia information retrieval, and intelligent/personalized user interfaces.
Peter Knees is an assistant professor at the Department of Computational Perception at the Johannes Kepler University Linz. He holds a Master's degree in Computer Science from the Vienna University of Technology and a Ph.D. degree from the Johannes Kepler University Linz. Since 2004, he co-authored over 50 peer-reviewed conference and journal publications and serves as program committee member and reviewer for several conferences and journals relevant to the fields of music, multimedia, and text IR. Since 2009, he organizes the International Workshop on Advances in Music Information Research series. In 2010, Peter served as program chair of the 8th International Workshop on Adaptive Multimedia Retrieval. In addition to music and Web information retrieval, his research interests include multimedia, user interfaces, recommender systems, and digital media arts.
Jialie Shen is an assistant professor in Information Systems, School of Information Systems, Singapore Management University, Singapore. Dr. Shen's main research interests include information retrieval, economic-aware media analysis, and statistical machine learning. His recent work has been published or is forthcoming in leading journals and international conferences including ACM SIGIR, ACM Multimedia, ACM SIGMOD, CVPR, ICDE, WWW, IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), IEEE Transactions on Multimedia (IEEE TMM), ACM Multimedia Systems Journal, ACM Transactions on Internet Technology (ACM TOIT) and ACM Transactions on Information Systems (ACM TOIS).