Report on LEARNER 2017: 1st International Workshop on LEARning Next gEneration Rankers

摘要

The LEARNER workshop was co-located with the "third ACM International Conference on the Theory of Information Retrieval", (ICTIR 2017). 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 Mac-donald 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". Detailed information is available at http://learner2017.dei.unipd.it/.