Publication entry:

User perceptions of diversity in recommender systems

Full citation: Dokoupil, P., Boratto, L., & Peska, L. (2024). User perceptions of diversity in recommender systems. Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, 212–222.
BibTeX citation file download: dokoupil2024user.bib

Internal authors

Patrik Dokoupil

Researcher

Ladislav Peška

Associate professor

Research topics

Recommender systems

Software that estimates, models and evaluates user preferences and needs, producing viable recommendations of items such as multimedia or goods that would match user interests.