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2020 – today
- 2024
[c10]Markus Reiter-Haas
, Beate Klösch, Markus Hadler, Elisabeth Lex:
FrameFinder: Explorative Multi-Perspective Framing Extraction from News Headlines. CHIIR 2024: 381-385- [c9]Markus Reiter-Haas, Beate Klösch, Markus Hadler, Elisabeth Lex:
Computational Narrative Framing: Towards Identifying Frames through Contrasting the Evolution of Narrations. Text2Story@ECIR 2024: 129-135 - [c8]Markus Reiter-Haas, Elisabeth Lex:
The Framing Loop: Do Users Repeatedly Read Similar Framed News Online? IUI Workshops 2024 - [i7]Markus Reiter-Haas, Beate Klösch, Markus Hadler, Elisabeth Lex:
Framing Analysis of Health-Related Narratives: Conspiracy versus Mainstream Media. CoRR abs/2401.10030 (2024) - 2023
- [c7]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: 840-847 - [c6]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: 941-949 - [c5]Markus Reiter-Haas:
Exploration of Framing Biases in Polarized Online Content Consumption. WWW (Companion Volume) 2023: 560-564 - [d1]Marta Moscati, Christian Wallmann, Markus Reiter-Haas, Dominik Kowald, Elisabeth Lex, Markus Schedl:
Files for Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendation. Zenodo, 2023
- [i6]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 abs/2303.09901 (2023) - [i5]Markus Reiter-Haas, Beate Klösch, Markus Hadler, Elisabeth Lex:
FrameFinder: Explorative Multi-Perspective Framing Extraction from News Headlines. CoRR abs/2312.08995 (2023) - 2021
- [c4]Markus Reiter-Haas, Simone Kopeinik, Elisabeth Lex:
Studying Moral-based Differences in the Framing of Political Tweets. ICWSM 2021: 1085-1089 - [c3]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: 702-707 - [i4]Markus Reiter-Haas, Simone Kopeinik, Elisabeth Lex:
Studying Moral-based Differences in the Framing of Political Tweets. CoRR abs/2103.11853 (2021) - [i3]Markus Reiter-Haas, Emilia Parada-Cabaleiro, Markus Schedl, Elham Motamedi, Marko Tkalcic, Elisabeth Lex:
Predicting Music Relistening Behavior Using the ACT-R Framework. CoRR abs/2108.02138 (2021) - 2020
- [j1]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): 617-658 (2020) - [c2]Markus Reiter-Haas, David Wittenbrink, Emanuel Lacic:
On the Heterogeneous Information Needs in the Job Domain: A Unified Platform for Student Career. RecSys 2020: 573-574
2010 – 2019
- 2019
- [c1]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: 496-500 - [i2]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 abs/1907.06556 (2019) - 2017
- [i1]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 abs/1711.07762 (2017)
Coauthor Index
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