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Markus Reiter-Haas
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Should we embed? A study on the online performance of utilizing embeddings for real-time job recommendations
E Lacic, M Reiter-Haas, T Duricic, V Slawicek, E Lex
Proceedings of the 13th ACM Conference on Recommender Systems, 496-500, 2019
132019
Beyond accuracy optimization: On the value of item embeddings for student job recommendations
E Lacic, D Kowald, M Reiter-Haas, V Slawicek, E Lex
arXiv preprint arXiv:1711.07762, 2017
82017
Predicting music relistening behavior using the ACT-R framework
M Reiter-Haas, E Parada-Cabaleiro, M Schedl, E Motamedi, M Tkalcic, ...
Fifteenth ACM Conference on Recommender Systems, 702-707, 2021
62021
Using autoencoders for session-based job recommendations
E Lacic, M Reiter-Haas, D Kowald, M Reddy Dareddy, J Cho, E Lex
User Modeling and User-Adapted Interaction 30 (4), 617-658, 2020
52020
Studying Moral-based Differences in the Framing of Political Tweets.
M Reiter-Haas, S Kopeinik, E Lex
ICWSM, 1085-1089, 2021
22021
Bridging the gap of polarization in public opinion on misinformed topics
M Reiter-Haas, B Klösch, M Hadler, E Lex
Challenging Misinformation: Exploring Limits and Approaches, workshop co …, 2020
22020
Polarization of Opinions on COVID-19 Measures: Integrating Twitter and Survey Data
M Reiter-Haas, B Klösch, M Hadler, E Lex
Social Science Computer Review, 08944393221087662, 2022
12022
On the heterogeneous information needs in the job domain: A unified platform for student career
M Reiter-Haas, D Wittenbrink, E Lacic
Fourteenth ACM Conference on Recommender Systems, 573-574, 2020
12020
Studo jobs: Enriching data with predicted Job labels
M Reiter-Haas, V Slawicek, E Lacic
Workshop on Recommender Systems and Social Network Analysis co-located with …, 2017
12017
Combining Survey and Social Media Data: Respondents' Opinions on COVID-19 Measures and Their Willingness to Provide Their Social Media Account Information
M Hadler, B Klösch, M Reiter-Haas, E Lex
Frontiers in Sociology 7, 2022
2022
Opinion Polarization on COVID-19 Measures: Integrating Surveys and Social Media Data
M Reiter-Haas, B Klösch, M Hadler, E Lex
EasyChair, 2021
2021
Should we Embed? A Study on the Online Performance of Utilizing Embeddings for Real-Time Job Recommendations
M Reiter-Haas, E Lacic, T Duricic, V Slawicek, E Lex
arXiv preprint arXiv:1907.06556, 2019
2019
On the Practical Challenges when Dealing with a Large Amount of Textual Data
S Kogler, M Reiter-Haas
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