| 2026 | WWW | Efficient Learning of Sparse Representations from Interactions. | Vojtech Vancura, Martin Spisk, Rodrigo Alves, Ladislav Peska |
| 2025 | RecSys | The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems. | Petr Kasalick, Martin Spisk, Vojtech Vancura, Daniel Bohunek, Rodrigo Alves, Pavel Kordk |
| 2024 | RecSys | beeFormer: Bridging the Gap Between Semantic and Interaction Similarity in Recommender Systems. | Vojtech Vancura, Pavel Kordk, Milan Straka |
| 2022 | CSIT | Offline evaluation of the serendipity in recommendation systems. | Daniil Pastukhov, Stanislav Kuznetsov, Vojtech Vancura, Pavel Kordk |
| 2022 | RecSys | RepSys: Framework for Interactive Evaluation of Recommender Systems. | Jan Safark, Vojtech Vancura, Pavel Kordk |
| 2022 | RecSys | Scalable Linear Shallow Autoencoder for Collaborative Filtering. | Vojtech Vancura, Rodrigo Alves, Petr Kasalick, Pavel Kordk |
| 2021 | ICANN | Deep Variational Autoencoder with Shallow Parallel Path for Top-N Recommendation (VASP). | Vojtech Vancura, Pavel Kordk |
| 2021 | RecSys | Neural Basket Embedding for Sequential Recommendation. | Vojtech Vancura |