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<pdf width="1500px">https://ceur-ws.org/Vol-1642/preface.pdf</pdf>
<pre>
                                               Preface


These proceedings contain the papers of the Third International Workshop on Gamification for Information
Retrieval (GamifIR’16) held in conjunction with the SIGIR 2016 conference in Pisa, Italy, on the 21th of July
2016. Seven full papers were selected by the programme committee from a total of 11 submissions. Each
submitted paper was reviewed by three members of an international programme committee. In addition to the
selected papers, the workshop features a keynote speech by Sebastian Deterding “Desperately Seeking Theory:
Gamification, Design, Data, Machine Learning, and the Promise of Double Loop Learning Systems”. We would
like to thank SIGIR for hosting us. Thanks also go to the keynote speaker, the program committee, the paper
authors, and the participants, for without these people there would be no workshop.

Organizing Committee
Frank Hopfgartner, University of Glasgow (United Kingdom), Gabriella Kazai, Semion Ltd. (United Kingdom),
Udo Kruschwitz, University of Essex (United Kingdom), Michael Meder, TU Berlin (Germany)

Programm Committee
We acknowledge the e↵orts of the programme committee, namely Raian Ali (Bournemouth University, UK),
Omar Alonso (Microsoft, USA), Leif Azzopardi (University of Glasgow, UK), Jon Chamberlain (University of
Essex, UK), Sebastian Deterding (University of York, UK), Carsten Eickho↵ (ETH Zurich, CH), Christopher
Harris (State University of New York, USA), Hideo Joho (University of Tsukuba, JP), Till Plumbaum (Technische
Universität Berlin, GER), Ashok Ranchod (University of Southampton, UK), Thomas Springer (Technische
Universität Dresden, GER), Susanne Strahinger (Technische Universität Dresden, GER), Albert Weichselbraun
(University of Applied Sciences Chur, CH), and Lincoln Wood (University of Auckland, NZ).

Acknowledgments
We acknowledge financial support by the European Commission via the European Union Seventh Framework
Programme FP7/2007-2013, grant agreement number 610594 (CrowdRec).

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