=Paper= {{Paper |id=Vol-2007/LEARNER2017_preface |storemode=property |title=None |pdfUrl=https://ceur-ws.org/Vol-2007/LEARNER2017_preface.pdf |volume=Vol-2007 |authors=Nicola Ferro,Claudio Lucchese,Maria Maistro,Raffaele Perego }} ==None== https://ceur-ws.org/Vol-2007/LEARNER2017_preface.pdf
                                 Preface

     This volume contains the papers presented at LEARNER 2017: the 1st In-
ternational Workshop on LEARning Next gEneration Rankers, co-located with
the third ACM International Conference on the Theory of Information Retrieval,
(ICTIR 2017) held in Amsterdam, The Netherlands, on October 1, 2017.
     The workshop aimed at bringing together researchers from Information Re-
trieval (IR), Machine Learning (ML), and related application areas, to investi-
gate new solutions for Learning to Rank (LtR). The inner core of IR has always
been centered around the ranking, i.e. how to properly order documents by es-
timating their relevance with respect to a given query. Nowadays, documents,
information needs, and queries are getting more and more complex and diver-
sified, and this calls for more and more sophisticated techniques able to cope
with this emerging complexity and the high expectations of users. ML, and in
particular LtR, represent an effective solution to address these challenges and to
improve over state-of-the-art traditional algorithms.
     The goal of the workshop was to investigate how to improve ranking, in par-
ticular LtR, by bringing in new perspectives which have not been explored or
fully addressed yet. Therefore, the workshop solicited the submission of contri-
butions covering new approaches for LtR, evaluation of LtR algorithms, creation
and curation of datasets for LtR, and application of LtR to specific domains.
     The workshop involved 8 paper presentations, 4 full papers and 4 short pa-
pers, and two keynote presentations. This volume comprises a revised version of
some of the presented papers and keynotes. We would like to express our spe-
cial thanks to the Program Committee members, the keynote speakers – Craig
Macdonald and Djoerd Hiemstra – the authors and all the attendees.




November, 2017


            Nicola Ferro, Claudio Lucchese, Maria Maistro and Raffaele Perego
                                                      Workshop co-Chairs
                  Program Commitee


– Roi Blanco, University of A Corua, Spain

– Jiafeng Guo, Chinese Academy of Sciences, China

– Claudia Hauff, TU Delft, The Netherlands

– Craig Macdonald, University of Glasgow, UK

– Fabrizio Silvestri, Facebook, UK

– Arjen P. de Vries, Radboud Universiteit, Netherlands

– Hamed Zamani, University of Massachusetts, Amherst, USA