Research output per year
Research output per year
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Dive into the research topics where Dominik Kowald is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Modelling the long-term fairness dynamics of data-driven targeted help on job seekers
Scher, S., Kopeinik, S., Trügler, A. & Kowald, D., Dec 2023, In: Scientific Reports. 13, 1, 1727.Research output: Contribution to journal › Article › peer-review
Open Access -
Popularity Bias in Collaborative Filtering-Based Multimedia Recommender Systems
Kowald, D. & Lacic, E., 2022, Advances in Bias and Fairness in Information Retrieval - 3rd International Workshop, BIAS 2022, Revised Selected Papers: Third International Workshop, BIAS 2022, Stavanger, Norway, April 10, 2022, Revised Selected Papers. Boratto, L., Marras, M., Faralli, S. & Stilo, G. (eds.). p. 1-11 11 p. (Communications in Computer and Information Science; vol. 1610 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
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Recommendations in a Multi-Domain Setting: Adapting for Customization, Scalability and Real-Time Performance
Lacic, E. & Kowald, D., 11 Apr 2022, Industry-Day Track of European Conference on Information Retrieval.Research output: Chapter in Book/Report/Conference proceeding › Conference paper
Open Access -
What Drives Readership? An Online Study on User Interface Types and Popularity Bias Mitigation in News Article Recommendations
Lacic, E., Fadljevic, L., Weissenboeck, F., Lindstaedt, S. & Kowald, D., 2022, Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Proceedings. Hagen, M., Verberne, S., Macdonald, C., Seifert, C., Balog, K., Nørvåg, K. & Setty, V. (eds.). Springer, p. 172-179 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13186 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
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Analyzing item popularity bias of music recommender systems: Are different genders equally affected?
Lesota, O., Melchiorre, A., Rekabsaz, N., Brandl, S., Kowald, D., Lex, E. & Schedl, M., 13 Sept 2021, RecSys 2021 - 15th ACM Conference on Recommender Systems. Association of Computing Machinery, p. 601-606 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Activities
- 1 Workshop, seminar or course (Participation in/Organisation of)
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RS-SNA – International Workshop on Recommender Systems and Social Network Analysis
Alexander Felfernig (Organiser), Denis Helic (Organiser), Elisabeth Lex (Organiser), Stefan Reiterer (Organiser), Dominik Kowald (Organiser), Emanuel Lacic (Organiser), Christoph Trattner (Organiser) & Christian Gütl (Organiser)
17 Oct 2017Activity: Participation in or organisation of › Workshop, seminar or course (Participation in/Organisation of)
Prizes
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ACM SIG Travel Grant für Hypertext 2017
Kowald, Dominik (Recipient), 1 Jul 2016
Prize: Prizes / Medals / Awards
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Best Poster Award of Hypertext and Social Media Conference 2014
Lacic, Emanuel (Recipient), Trattner, Christoph (Recipient) & Kowald, Dominik (Recipient), 4 Sept 2014
Prize: Prizes / Medals / Awards
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I-Know 2015 Demo Awared
Traub, Matthias (Recipient), Kowald, Dominik (Recipient), Lacic, Emanuel (Recipient), Supp, Gernot (Recipient), Schoen, Pepijn (Recipient) & Lex, Elisabeth (Recipient), 21 Oct 2015
Prize: Prizes / Medals / Awards
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