ξ Teaching Research & Topics Software People Department of Software Engineering

Publication entry:

Easystudy: Framework for easy deployment of user studies on recommender systems

Full citation
Dokoupil, P., & Peska, L. (2023). Easystudy: Framework for easy deployment of user studies on recommender systems. Proceedings of the 17th ACM Conference on Recommender Systems, 1196–1199.
BibTeX citation file download
dokoupil2023easystudy.bib

Internal authors

Patrik Dokoupil

Researcher

Ladislav Peška

Associate professor

Related software

EasyStudy

EasyStudy is an open-source framework for interactive user studies, including recommender systems, HCI, and generally any item-based experiments. The software includes many interesting algorithms and testing datasets.

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.