The effect of explanations and algorithmic accuracy on visual recommender systems of artistic images

    Vicente Dominguez
    Vicente Dominguez
    Pablo Messina
    Pablo Messina
    Ivania Donoso-Guzmán
    Ivania Donoso-Guzmán

    Proceedings of the 24th International Conference on Intelligent User Interfaces, pp. 408-416, 2019.

    Cited by: 3|Bibtex|Views66|Links
    EI
    Keywords:
    art explainable AI visual recommender systems

    Abstract:

    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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