Organizers: Nicola Ferro (University of Padua, Padua, Italy), Claudio Lucchese (ISTI-CNR, PISA, Italy), Maria Maistro (University of Padua, Padua, Italy), Raffaele Perego (ISTI-CNR, PISA, Italy)
Abstract: The aim of LEARNER@ICTIR2017 is to investigate new solutions for Learning to Rank, (LtR). We identified some research areas related to LtR which are of actual interest and which have not been fully explored yet. We solicit the submission of position papers on novel LtR algorithms, on evaluation of LtR algorithms, on dataset creation and curation, and on domain specific applications of LtR. LEARNER@ICTIR2017 will be a gathering of academic people interested in IR, ML and related application areas. We believe that the proposed workshop is relevant to ICTIR since we look for novel contributions to LtR which focus on foundational and conceptual aspects, which need to be properly framed and modeled.
Workshop website for more information: http://learner2017.dei.unipd.it/