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The goal of the workshop was to foster investigation on novel Learning-to-Rank algorithms, on their evaluation, on dataset creation and curation, and on domain specific applications of Learning-to-Rank. The half-day workshop hosted eight paper presentations and two invited talks: the first by Craig Macdonald on \"Hypothesis Testing for Risk-Sensitive Evaluation and Learning to Rank in Web Search\" and the second by Djoerd Hiemstra entitled \"Ranking Learning-to-Rank Methods\". 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