Markus Reiter-Haas

According to our database, Markus Reiter-Haas authored at least 12 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Framing Analysis of Health-Related Narratives: Conspiracy versus Mainstream Media.

Markus Reiter-Haas, Beate Klösch, Markus Hadler, Elisabeth Lex

CoRR, 2024

The Framing Loop: Do Users Repeatedly Read Similar Framed News Online?

Markus Reiter-Haas, Elisabeth Lex

Proceedings of the Joint Proceedings of the ACM IUI 2024 Workshops co-located with the 29th Annual ACM Conference on Intelligent User Interfaces (IUI 2024), 2024

FrameFinder: Explorative Multi-Perspective Framing Extraction from News Headlines.

Markus Reiter-Haas, Beate Klösch, Markus Hadler, Elisabeth Lex

Proceedings of the 2024 ACM SIGIR Conference on Human Information Interaction and Retrieval, 2024

2023

Exploration of Framing Biases in Polarized Online Content Consumption.

Markus Reiter-Haas

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

mCPT at SemEval-2023 Task 3: Multilingual Label-Aware Contrastive Pre-Training of Transformers for Few- and Zero-shot Framing Detection.

Markus Reiter-Haas, Alexander Ertl, Kevin Innerhofer, Elisabeth Lex

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

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

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

2021

Predicting Music Relistening Behavior Using the ACT-R Framework.

Markus Reiter-Haas, Emilia Parada-Cabaleiro, Markus Schedl, Elham Motamedi, Marko Tkalcic, Elisabeth Lex

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Studying Moral-based Differences in the Framing of Political Tweets.

Markus Reiter-Haas, Simone Kopeinik, Elisabeth Lex

Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

2020

Using autoencoders for session-based job recommendations.

Emanuel Lacic, Markus Reiter-Haas, Dominik Kowald, Manoj Reddy Dareddy, Junghoo Cho, Elisabeth Lex

User Model. User Adapt. Interact., 2020

On the Heterogeneous Information Needs in the Job Domain: A Unified Platform for Student Career.

Markus Reiter-Haas, David Wittenbrink, Emanuel Lacic

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

2019

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

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

2017

Beyond Accuracy Optimization: On the Value of Item Embeddings for Student Job Recommendations.

Emanuel Lacic, Dominik Kowald, Markus Reiter-Haas, Valentin Slawicek, Elisabeth Lex

CoRR, 2017