ξ Teaching Research & Topics Software People Department of Software Engineering

Publication entry:

Comparing user interfaces for customizing multi-objective recommender systems

Full citation
Dokoupil, P., Boratto, L., Peska, L., et al. (2024). Comparing user interfaces for customizing multi-objective recommender systems. CEUR WORKSHOP PROCEEDINGS, 3815, 15–28.
BibTeX citation file download
dokoupil2024comparing.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.