| 2024 | RecSys | Dynamic Product Image Generation and Recommendation at Scale for Personalized E-commerce. | dm Tibor Czapp, Mtys Jani, Blint Domin, Balzs Hidasi |
| 2023 | RecSys | The Effect of Third Party Implementations on Reproducibility. | Balzs Hidasi, dm Tibor Czapp |
| 2023 | RecSys | Widespread Flaws in Offline Evaluation of Recommender Systems. | Balzs Hidasi, dm Tibor Czapp |
| 2018 | CIKM | Recurrent Neural Networks with Top-k Gains for Session-based Recommendations. | Balzs Hidasi, Alexandros Karatzoglou |
| 2018 | RecSys | Multimedia recommender systems. | Yashar Deldjoo, Markus Schedl, Balzs Hidasi, Peter Knees |
| 2018 | RecSys | DLRS 2018: third workshop on deep learning for recommender systems. | Balzs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Bracha Shapira, Domonkos Tikk, Flavian Vasile, Sander Dieleman |
| 2017 | RecSys | DLRS 2017: Second Workshop on Deep Learning for Recommender Systems. | Balzs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Sander Dieleman, Bracha Shapira, Domonkos Tikk |
| 2017 | RecSys | Deep Learning for Recommender Systems. | Alexandros Karatzoglou, Balzs Hidasi |
| 2017 | RecSys | Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks. | Massimo Quadrana, Alexandros Karatzoglou, Balzs Hidasi, Paolo Cremonesi |
| 2016 | RecSys | Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations. | Balzs Hidasi, Massimo Quadrana, Alexandros Karatzoglou, Domonkos Tikk |
| 2016 | RecSys | RecSys'16 Workshop on Deep Learning for Recommender Systems (DLRS). | Alexandros Karatzoglou, Balzs Hidasi, Domonkos Tikk, Oren Sar Shalom, Haggai Roitman, Bracha Shapira, Lior Rokach |
| 2016 | RecSys | The Contextual Turn: from Context-Aware to Context-Driven Recommender Systems. | Roberto Pagano, Paolo Cremonesi, Martha A. Larson, Balzs Hidasi, Domonkos Tikk, Alexandros Karatzoglou, Massimo Quadrana |
| 2015 | RecSys | Context-aware Preference Modeling with Factorization. | Balzs Hidasi |