Publication entry:

SM-RS: Single-and multi-objective recommendations with contextual impressions and beyond-accuracy propensity scores

Full citation: Dokoupil, P., Peska, L., & Boratto, L. (2024). SM-RS: Single-and multi-objective recommendations with contextual impressions and beyond-accuracy propensity scores. Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 988–995.
BibTeX citation file download: dokoupil2024sm.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.