| 2025 | RecSys | How Do Users Perceive Recommender Systems' Objectives? | Patrik Dokoupil, Ludovico Boratto, Ladislav Peska |
| 2024 | SIGIR | SM-RS: Single- and Multi-Objective Recommendations with Contextual Impressions and Beyond-Accuracy Propensity Scores. | Patrik Dokoupil, Ladislav Peska, Ludovico Boratto |
| 2023 | MMM | Video Search with CLIP and Interactive Text Query Reformulation. | Jakub Lokoc, Zuzana Voplkov, Patrik Dokoupil, Ladislav Peska |
| 2023 | RecSys | EasyStudy: Framework for Easy Deployment of User Studies on Recommender Systems. | Patrik Dokoupil, Ladislav Peska |
| 2023 | RecSys | Looks Can Be Deceiving: Linking User-Item Interactions and User's Propensity Towards Multi-Objective Recommendations. | Patrik Dokoupil, Ladislav Peska, Ludovico Boratto |
| 2023 | SIGIR | Rows or Columns? Minimizing Presentation Bias When Comparing Multiple Recommender Systems. | Patrik Dokoupil, Ladislav Peska, Ludovico Boratto |
| 2022 | MMM | Video Search with Context-Aware Ranker and Relevance Feedback. | Jakub Lokoc, Frantisek Mejzlk, Toms Soucek, Patrik Dokoupil, Ladislav Peska |
| 2022 | RecSys | Long-term fairness for Group Recommender Systems with Large Groups. | Patrik Dokoupil |
| 2022 | SIGIR | Towards Results-level Proportionality for Multi-objective Recommender Systems. | Ladislav Peska, Patrik Dokoupil |
| 2021 | RecSys | LiGAN: Recommending Artificial Fillers for Police Photo Lineups (Short paper). | Patrik Dokoupil, Ladislav Peska |