ξ Teaching Research & Topics Software People Department of Software Engineering

Publication entry:

Accuracy and beyond-accuracy perspectives of controllable multi-objective recommender systems

Full citation
Dokoupil, P., Boratto, L., & Peška, L. (2025). Accuracy and beyond-accuracy perspectives of controllable multi-objective recommender systems. Information Processing & Management, 62(6), 104267.
BibTeX citation file download
dokoupil2025accuracy.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.