Dialectics of training: A critique of recommendation engines’ aesthetic judgment
Convergence: The International Journal of Research into New Media Technologies
Published online on September 30, 2024
Abstract
Convergence, Ahead of Print.
In this article, we evaluate the politics of recommendation engines by focusing on an indispensible feature of their operation: training. We use the notion of training as a key word which helps us link three bodies of knowledge: data science, the history ...
In this article, we evaluate the politics of recommendation engines by focusing on an indispensible feature of their operation: training. We use the notion of training as a key word which helps us link three bodies of knowledge: data science, the history ...