-------- Weitergeleitete Nachricht -------- Betreff: [WI] SoMeRA 2015: 2nd International Workshop on Social Media Retrieval and Analysis (1st Call for Papers) Datum: Tue, 19 May 2015 13:04:05 +0200 Von: Markus Schedl markus.schedl@jku.at An: undisclosed-recipients:;

[Apologies for cross-posting.]

============================================================================== SoMeRA 2015: 2nd International Workshop on Social Media Retrieval and Analysis http://www.cp.jku.at/conferences/SoMeRA2015/

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, etc.) - 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