Spatial and temporal context are tightly coupled. For example, users may visit a place during specific times of the day or on certain days of the week. Some places have special relevance during only a specific time of the year, or may only exist for a limited window of time. Understanding the spatial and temporal context of a user is often necessary to understand their information need. Users provide an unprecedented volume of detailed, and continuously updated information about where they are, what they are doing, who they are with, and what they are thinking or feeling about their current activities. Information access applications are expected to provide results that are contextually relevant, especially on mobile devices where space is limited, yet the user expectation far exceeds the ability of the technology to satisfy him. In this workshop we focus on event detection and recommendation in dynamic geotagged collections (such as Twitter, Foursquare, Facebook and Flickr), since events are a natural theme around which to center discussions about spatial and temporal context.
Max Planck Institute for Informatics
Klaus Berberich is a senior researcher at the Max Planck Institute for Informatics where he coordinates the research area Text + Time Search & Analytics. His research interests lie at the intersection of information retrieval, data management, and data mining. His current focus is on developing efficient and effective methods to search and analyze large-scale document collections that come with temporal, spatial, and semantic annotations. Klaus received his doctoral degree (summa cum laude) from Saarland University for his dissertation on temporal search in web archives. He has served on numerous program committees both in the information retrieval (SIGIR, WSDM, CIKM, ECIR) and data management community (ICDE, SIGMOD).
Texas A&M University
James Caverlee is an Associate Professor in the Department of Computer Science and Engineering at Texas A&M University. His research focuses on web-scale information management, distributed data-intensive systems, and social computing. Most recently, he's been working on geo-social systems that leverage large-scale spatial-temporal footprints in social media. Caverlee is a recipient of the 2010 DARPA Young Faculty Award, the 2012 AFOSR Young Investigator Award, and a 2012 NSF CAREER Award. Caverlee received his Ph.D. from Georgia Tech in 2007, M.S. degrees in Computer Science (2001) and in Engineering-Economic Systems & Operations Research (2000) from Stanford University, and a B.A. in Economics from Duke University (1996).
University Illinois at Champaign
Miles Efron is an assistant professor in the Graduate School of Library and Information Science at the University of Illinois, Urbana-Champaign, USA. His research focuses on temporal factors in information retrieval. In particular, Miles has published widely on temporal dimensions of relevance in IR over social media. Supplementing his published research, Miles is on the editorial board of The Journal of the American Society for Information Science and Technology, as well as the program committees of most major IR conferences. He is a co-organizer of the 2013 TREC real-time track, and a co-chair of the 2013 program committee for the Joint ACM/IEEE Conference on Digital Libraries. His work on time-aware IR has been supported by grants from Google and the National Science Foundation.
Delft University of Technology
Claudia Hauff is an Assistant Professor in the Web Information Systems group at Delft University of Technology, the Netherlands. Her research focuses on retrieval in social media settings, in particular the exploitation of spatial knowledge. Other areas of interest are the effects of retrieval on corpora covering long periods of time and the prediction of query effectiveness. She was part of the organizing committee of SIGIR and WSDM and is currently the editor of the SIGIR mailing list. She received her PhD from the University of Twente, the Netherlands.
Vanessa Murdock is a Principal Applied Researcher at Micrsoft. Before joining Microsoft, she was a Senior Research Scientist at Yahoo! Research. Her primary area of interest is geographic modeling of social media, to understand the way that users describe and interact with places. Other areas of interest include retrieval models for short text such as ads, social media, and tagged images. In May 2014, she received the Outstanding Achievement by a Young Alum Award from the University of Massachusetts.
Milad Shokouhi is a Senior Applied Researcher working for Bing at Microsoft Research Cambridge. Before joining Microsoft, he did his PhD on federated search at RMIT University in 2007. Milad has been working on analyzing and classifying time-sensitive queries for Bing for the past 3-4 years. His other research interests include federated search and query reformulation. He has served on the program committee of most major IR conferences and journals. Together with Luo Si, he has recently published a comprehensive survey entitled "Federated Search" that has appeared in Foundations and Trends in Information Retrieval.
Bart Thomee is a Research Scientist in the HCI research group at Yahoo Labs. His research primarily focuses on the visual and spatiotemporal dimensions of media in order to understand how people explore and experience the world. He further focuses on improving the quality of media already created, as well as of media yet to be created. He co-organized/co-organizes the ImageCLEF photo annotation task (2011, 2012), the MediaEval placing task (2013, 2014, 2015), a ACM Grand Challenge (2015) and currently serves on the program committees of SIGIR, ECIR, MM, ICMR, and LocWeb. He obtained his PhD from Leiden University.