The effect of explanations and algorithmic accuracy on visual recommender systems of artistic images
Proceedings of the 24th International Conference on Intelligent User Interfaces, pp. 408-416, 2019.
art explainable AI visual recommender systems
There are very few works about explaining content-based recommendations of images in the artistic domain. Current works do not provide a perspective of the many variables involved in the user perception of several aspects of the system such as domain knowledge, relevance, explainability, and trust. In this paper, we aim to fill this gap b...More
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Best Paper of IUI, 2019