WORKSHOP REPORT SIGIR 2009 Workshop on Understanding the User  Logging and interpreting user interactions in information search and retrieval Georg Buscher DFKI GmbH georg.buscher@dfki.de Nicholas J. Belkin Rutgers University belkin@rutgers.edu Jacek Gwizdka Rutgers University jacekg@rutgers.edu Ralf Bierig Rutgers University bierig@rci.rutgers.edu Joemon Jose Glasgow University jj@dcs.gla.ac.uk Jaime Teevan Microsoft Research teevan@microsoft.com Ludger van Elst DFKI GmbH elst@dfki.uni-kl.de Introduction Modern information search systems can benefit greatly from using additional information about the user and the user's behavior, and research in this area is active and growing. Feedback data based on direct interaction (e.g., clicks, scrolling, etc.) as well as on user profiles/preferences has been proven valuable for personalizing the search process, e.g., from how queries are understood to how relevance is assessed. New technology has made it inexpensive and easy to collect more feedback data and more different types of data (e.g., gaze, emotional, or biometric data). The workshop ÂUnderstanding the User  Logging and interpreting user interactions in information search and retrieval  was held in conjunction with the 32nd Annual International ACM SIGIR Conference. It focused on discussing and identifying most promising research directions with respect to logging, interpreting, integrating, and using feedback data. The workshop aimed
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