343 citations · 2.5k across the 173 of their papers we have counts for
22 papers · 1 filter
Reproducibility as a Mechanism for Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence
Ana Lucic, Maurits Bleeker, Sami Jullien +2
In this work, we explain the setup for a technical, graduate-level course on Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence (FACT-AI) at the…
Parameter Efficient Deep Probabilistic Forecasting
Olivier Sprangers, Sebastian Schelter, Maarten de Rijke
Probabilistic time series forecasting is crucial in many application domains such as retail, ecommerce, finance, or biology. With the increasing availability of large volumes of da…
It Is Different When Items Are Older: Debiasing Recommendations When Selection Bias and User Preferences Are Dynamic
Jin Huang, Harrie Oosterhuis, Maarten de Rijke
User interactions with recommender systems (RSs) are affected by user selection bias, e.g., users are more likely to rate popular items (popularity bias) or items that they expect…
A Next Basket Recommendation Reality Check
Ming Li, Sami Jullien, Mozhdeh Ariannezhad +1
The goal of a next basket recommendation (NBR) system is to recommend items for the next basket for a user, based on the sequence of their prior baskets. Recently, a number of meth…
ReMeDi: Resources for Multi-domain, Multi-service, Medical Dialogues
Guojun Yan, Jiahuan Pei, Pengjie Ren +5
Medical dialogue systems (MDSs) aim to assist doctors and patients with a range of professional medical services, i.e., diagnosis, treatment and consultation. The development of MD…
Mixture-Based Correction for Position and Trust Bias in Counterfactual Learning to Rank
Ali Vardasbi, Maarten de Rijke, Ilya Markov
In counterfactual learning to rank (CLTR) user interactions are used as a source of supervision. Since user interactions come with bias, an important focus of research in this fiel…