| 2026 | ECIR | Modeling Behavioral Patterns in News Recommendations Using Fuzzy Neural Networks. | Kevin Innerebner, Stephan Bartl, Markus Reiter-Haas, Elisabeth Lex |
| 2024 | CHIIR | FrameFinder: Explorative Multi-Perspective Framing Extraction from News Headlines. | Markus Reiter-Haas, Beate Klsch, Markus Hadler, Elisabeth Lex |
| 2024 | ECIR | Computational Narrative Framing: Towards Identifying Frames through Contrasting the Evolution of Narrations. | Markus Reiter-Haas, Beate Klsch, Markus Hadler, Elisabeth Lex |
| 2024 | IUI | The Framing Loop: Do Users Repeatedly Read Similar Framed News Online? | Markus Reiter-Haas, Elisabeth Lex |
| 2023 | RecSys | Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendation. | Marta Moscati, Christian Wallmann, Markus Reiter-Haas, Dominik Kowald, Elisabeth Lex, Markus Schedl |
| 2023 | WWW | Exploration of Framing Biases in Polarized Online Content Consumption. | Markus Reiter-Haas |
| 2021 | ICWSM | Studying Moral-based Differences in the Framing of Political Tweets. | Markus Reiter-Haas, Simone Kopeinik, Elisabeth Lex |
| 2021 | RecSys | Predicting Music Relistening Behavior Using the ACT-R Framework. | Markus Reiter-Haas, Emilia Parada-Cabaleiro, Markus Schedl, Elham Motamedi, Marko Tkalcic, Elisabeth Lex |
| 2020 | RecSys | On the Heterogeneous Information Needs in the Job Domain: A Unified Platform for Student Career. | Markus Reiter-Haas, David Wittenbrink, Emanuel Lacic |
| 2019 | RecSys | Should we embed?: a study on the online performance of utilizing embeddings for real-time job recommendations. | Emanuel Lacic, Markus Reiter-Haas, Tomislav Duricic, Valentin Slawicek, Elisabeth Lex |