Markus Reiter-Haas

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 15

Top Topics

Multi Perspective

Music Recommendation

Top Venues

User Model. User Adapt. Interact.

Publications

Markus Reiter-Haas, Beate Klösch, Markus Hadler, Elisabeth Lex
Framing Analysis of Health-Related Narratives: Conspiracy versus Mainstream Media. CoRR (2024)
Markus Reiter-Haas, Alexander Ertl, Kevin Innerhofer, Elisabeth Lex
mCPT at SemEval-2023 Task 3: Multilingual Label-Aware Contrastive Pre-Training of Transformers for Few- and Zero-shot Framing Detection. CoRR (2023)
Markus Reiter-Haas
Exploration of Framing Biases in Polarized Online Content Consumption. WWW (Companion Volume) (2023)
Markus Reiter-Haas, Beate Klösch, Markus Hadler, Elisabeth Lex
FrameFinder: Explorative Multi-Perspective Framing Extraction from News Headlines. CoRR (2023)
Markus Reiter-Haas, Alexander Ertl, Kevin Innerhofer, Elisabeth Lex
mCPT at SemEval-2023 Task 3: Multilingual Label-Aware Contrastive Pre-Training of Transformers for Few- and Zero-shot Framing Detection. SemEval@ACL (2023)
Marta Moscati, Christian Wallmann, Markus Reiter-Haas, Dominik Kowald, Elisabeth Lex, Markus Schedl
Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendation. RecSys (2023)
Markus Reiter-Haas, Simone Kopeinik, Elisabeth Lex
Studying Moral-based Differences in the Framing of Political Tweets. ICWSM (2021)
Markus Reiter-Haas, Simone Kopeinik, Elisabeth Lex
Studying Moral-based Differences in the Framing of Political Tweets. CoRR (2021)
Markus Reiter-Haas, Emilia Parada-Cabaleiro, Markus Schedl, Elham Motamedi, Marko Tkalcic, Elisabeth Lex
Predicting Music Relistening Behavior Using the ACT-R Framework. CoRR (2021)
Markus Reiter-Haas, Emilia Parada-Cabaleiro, Markus Schedl, Elham Motamedi, Marko Tkalcic, Elisabeth Lex
Predicting Music Relistening Behavior Using the ACT-R Framework. RecSys (2021)
Markus Reiter-Haas, David Wittenbrink, Emanuel Lacic
On the Heterogeneous Information Needs in the Job Domain: A Unified Platform for Student Career. RecSys (2020)
Emanuel Lacic, Markus Reiter-Haas, Dominik Kowald, Manoj Reddy Dareddy, Junghoo Cho, Elisabeth Lex
Using autoencoders for session-based job recommendations. User Model. User Adapt. Interact. 30 (4) (2020)
Emanuel Lacic, Markus Reiter-Haas, Tomislav Duricic, Valentin Slawicek, Elisabeth Lex
Should we embed?: a study on the online performance of utilizing embeddings for real-time job recommendations. RecSys (2019)
Markus Reiter-Haas, Emanuel Lacic, Tomislav Duricic, Valentin Slawicek, Elisabeth Lex
Should we Embed? A Study on the Online Performance of Utilizing Embeddings for Real-Time Job Recommendations. CoRR (2019)
Emanuel Lacic, Dominik Kowald, Markus Reiter-Haas, Valentin Slawicek, Elisabeth Lex
Beyond Accuracy Optimization: On the Value of Item Embeddings for Student Job Recommendations. CoRR (2017)