Patrik Dokoupil

20 papers A* 3A 6Journal 4Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Long-term fairness in sequential group recommendations.
Knowl. Inf. Syst.
Patrik Dokoupil, Ladislav Peska
2026 J jnl
SM-RS 2.0: User-perceived Qualities of Single- and Multi-Objective Recommender Systems.
Trans. Recomm. Syst.
Patrik Dokoupil, Ladislav Peska
2025 J jnl
Accuracy and beyond-accuracy perspectives of controllable multi-objective recommender systems.
Inf. Process. Manag.
Patrik Dokoupil, Ludovico Boratto, Ladislav Peska
2025 — conf
Bridging the Rift: A Critical Perspective on the Divergence in Group Recommender Systems Research.
UMAP (Adjunct Publication)
Ladislav Peska, Amra Delic, Francesco Barile, Patrik Dokoupil
2025 A conf
Effects of Quantitative Explanations on Fairness Perception in Group Recommender Systems.
UMAP
Patrik Dokoupil, Ladislav Peska
2025 A conf
How Do Users Perceive Recommender Systems' Objectives?
RecSys
Patrik Dokoupil, Ludovico Boratto, Ladislav Peska
2024 — conf
Comparing User Interfaces for Customizing Multi-Objective Recommender Systems.
IntRS@RecSys
Patrik Dokoupil, Ludovico Boratto, Ladislav Peska
2024 A* conf
SM-RS: Single- and Multi-Objective Recommendations with Contextual Impressions and Beyond-Accuracy Propensity Scores.
SIGIR
Patrik Dokoupil, Ladislav Peska, Ludovico Boratto
2024 A conf
User Perceptions of Diversity in Recommender Systems.
UMAP
Patrik Dokoupil, Ludovico Boratto, Ladislav Peska
2023 A conf
EasyStudy: Framework for Easy Deployment of User Studies on Recommender Systems.
RecSys
Patrik Dokoupil, Ladislav Peska
2023 A conf
Looks Can Be Deceiving: Linking User-Item Interactions and User's Propensity Towards Multi-Objective Recommendations.
RecSys
Patrik Dokoupil, Ladislav Peska, Ludovico Boratto
2023 J jnl
Looks Can Be Deceiving: Linking User-Item Interactions and User's Propensity Towards Multi-Objective Recommendations.
CoRR
Patrik Dokoupil, Ladislav Peska, Ludovico Boratto
2023 A* conf
Rows or Columns? Minimizing Presentation Bias When Comparing Multiple Recommender Systems.
SIGIR
Patrik Dokoupil, Ladislav Peska, Ludovico Boratto
2023 — conf
The Effect of Similarity Metric and Group Size on Outlier Selection & Satisfaction in Group Recommender Systems.
UMAP (Adjunct Publication)
Patrik Dokoupil, Ladislav Peska
2023 — conf
Video Search with CLIP and Interactive Text Query Reformulation.
MMM (1)
Jakub Lokoc, Zuzana Vopálková, Patrik Dokoupil, Ladislav Peska
2022 A conf
Long-term fairness for Group Recommender Systems with Large Groups.
RecSys
Patrik Dokoupil
2022 — conf
Robustness Against Polarity Bias in Decoupled Group Recommendations Evaluation.
UMAP (Adjunct Publication)
Patrik Dokoupil, Ladislav Peska
2022 A* conf
Towards Results-level Proportionality for Multi-objective Recommender Systems.
SIGIR
Ladislav Peska, Patrik Dokoupil
2022 — conf
Video Search with Context-Aware Ranker and Relevance Feedback.
MMM (2)
Jakub Lokoc, Frantisek Mejzlík, Tomás Soucek, Patrik Dokoupil, Ladislav Peska
2021 — conf
LiGAN: Recommending Artificial Fillers for Police Photo Lineups (Short paper).
KaRS/ComplexRec@RecSys
Patrik Dokoupil, Ladislav Peska