ACM UMAP 2020 – User Modeling, Adaptation and Personalization – is the premier international conference for researchers and practitioners working on systems that adapt to individual users or to groups of users, and that collect, represent, and model user information.
During the event, which will be held online from Genoa (Italy), WeNet partners Laura Schelenz, Avi Segal, and Kobi Gal will present their research on “Best practices for Transparency in Machine Generated Personalization”.
For more details: https://um.org/umap2020/attending/program/