Markus Reiter-Haas

24 papers A 5B 1Journal 12Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Can Platform Design Encourage Curiosity? Evidence from an Independent Social Media Experiment. CoRR Marie Neubrander, Markus Reiter-Haas, Ben Rochford, Max Allamong, Christopher Bail, Sunshine Hillygus, Alexander Volfovsky
2026	—	`conf`	Modeling Behavioral Patterns in News Recommendations Using Fuzzy Neural Networks. ECIR (3) Kevin Innerebner, Stephan Bartl, Markus Reiter-Haas, Elisabeth Lex
2026	J	`jnl`	Modeling Behavioral Patterns in News Recommendations Using Fuzzy Neural Networks. CoRR Kevin Innerebner, Stephan Bartl, Markus Reiter-Haas, Elisabeth Lex
2025	—	`conf`	Mind the Gap: Urban-Rural Disparities in Wheelchair Accessibility for POI Recommendations. RecSoGood@RecSys Gregor Mayr, Markus Reiter-Haas, Elisabeth Lex
2025	J	`jnl`	The climate gluing protests: analyzing their development and framing in media since 1986 using sentiment analyses and frame detection models. Frontiers Big Data Markus Hadler, Alexander Ertl, Beate Klösch, Markus Reiter-Haas, Elisabeth Lex
2025	J	`jnl`	Towards Multi-Aspect Diversification of News Recommendations Using Neuro-Symbolic AI for Individual and Societal Benefit. CoRR Markus Reiter-Haas, Elisabeth Lex
2024	—	`conf`	Computational Narrative Framing: Towards Identifying Frames through Contrasting the Evolution of Narrations. Text2Story@ECIR Markus Reiter-Haas, Beate Klösch, Markus Hadler, Elisabeth Lex
2024	B	`conf`	FrameFinder: Explorative Multi-Perspective Framing Extraction from News Headlines. CHIIR Markus Reiter-Haas, Beate Klösch, Markus Hadler, Elisabeth Lex
2024	J	`jnl`	Framing Analysis of Health-Related Narratives: Conspiracy versus Mainstream Media. CoRR Markus Reiter-Haas, Beate Klösch, Markus Hadler, Elisabeth Lex
2024	—	`conf`	The Framing Loop: Do Users Repeatedly Read Similar Framed News Online? IUI Workshops Markus Reiter-Haas, Elisabeth Lex
2023	—	`conf`	Exploration of Framing Biases in Polarized Online Content Consumption. WWW (Companion Volume) Markus Reiter-Haas
2023	J	`jnl`	FrameFinder: Explorative Multi-Perspective Framing Extraction from News Headlines. CoRR Markus Reiter-Haas, Beate Klösch, Markus Hadler, Elisabeth Lex
2023	A	`conf`	Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendation. RecSys Marta Moscati, Christian Wallmann, Markus Reiter-Haas, Dominik Kowald, Elisabeth Lex, Markus Schedl
2023	—	`conf`	mCPT at SemEval-2023 Task 3: Multilingual Label-Aware Contrastive Pre-Training of Transformers for Few- and Zero-shot Framing Detection. SemEval@ACL Markus Reiter-Haas, Alexander Ertl, Kevin Innerhofer, Elisabeth Lex
2023	J	`jnl`	mCPT at SemEval-2023 Task 3: Multilingual Label-Aware Contrastive Pre-Training of Transformers for Few- and Zero-shot Framing Detection. CoRR Markus Reiter-Haas, Alexander Ertl, Kevin Innerhofer, Elisabeth Lex
2021	A	`conf`	Predicting Music Relistening Behavior Using the ACT-R Framework. RecSys Markus Reiter-Haas, Emilia Parada-Cabaleiro, Markus Schedl, Elham Motamedi, Marko Tkalcic, Elisabeth Lex
2021	J	`jnl`	Predicting Music Relistening Behavior Using the ACT-R Framework. CoRR Markus Reiter-Haas, Emilia Parada-Cabaleiro, Markus Schedl, Elham Motamedi, Marko Tkalcic, Elisabeth Lex
2021	A	`conf`	Studying Moral-based Differences in the Framing of Political Tweets. ICWSM Markus Reiter-Haas, Simone Kopeinik, Elisabeth Lex
2021	J	`jnl`	Studying Moral-based Differences in the Framing of Political Tweets. CoRR Markus Reiter-Haas, Simone Kopeinik, Elisabeth Lex
2020	A	`conf`	On the Heterogeneous Information Needs in the Job Domain: A Unified Platform for Student Career. RecSys Markus Reiter-Haas, David Wittenbrink, Emanuel Lacic
2020	J	`jnl`	Using autoencoders for session-based job recommendations. User Model. User Adapt. Interact. Emanuel Lacic, Markus Reiter-Haas, Dominik Kowald, Manoj Reddy Dareddy, Junghoo Cho, Elisabeth Lex
2019	J	`jnl`	Should we Embed? A Study on the Online Performance of Utilizing Embeddings for Real-Time Job Recommendations. CoRR Markus Reiter-Haas, Emanuel Lacic, Tomislav Duricic, Valentin Slawicek, Elisabeth Lex
2019	A	`conf`	Should we embed?: a study on the online performance of utilizing embeddings for real-time job recommendations. RecSys Emanuel Lacic, Markus Reiter-Haas, Tomislav Duricic, Valentin Slawicek, Elisabeth Lex
2017	J	`jnl`	Beyond Accuracy Optimization: On the Value of Item Embeddings for Student Job Recommendations. CoRR Emanuel Lacic, Dominik Kowald, Markus Reiter-Haas, Valentin Slawicek, Elisabeth Lex