Recommended Citation
Barraza-Urbina, Andrea , & d’Aquin, Mathieu (2019). Towards sharing task environments to support reproducible evaluations of interactive recommender systems. Paper presented at the REVEAL’19, Copenhagen, Denmark, 20 September, DOI: 10.13025/pqjz-f728
Abstract
Beyond sharing datasets or simulations, we believe the Recommender Systems (RS) community should share Task Environments. In this work, we propose a high-level logical architecture that will help to reason about the core components of a RS Task Environment, identify the differences between Environments, datasets and simulations; and most importantly, understand what needs to be shared about Environments to achieve reproducible experiments. The work presents itself as valuable initial groundwork, open to discussion and extensions.