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ORCIDDominik Kowald
- > Home > Persons > Dominik Kowald
Publications
- 2024
[c46]Peter Müllner
, Elisabeth Lex, Markus Schedl, Dominik Kowald:
The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias. ECIR (4) 2024: 466-482- [i47]Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald:
The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias. CoRR abs/2401.03883 (2024) - 2023
- [j13]Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald:
ReuseKNN: Neighborhood Reuse for Differentially Private KNN-Based Recommendations. ACM Trans. Intell. Syst. Technol. 14(5): 80:1-80:29 (2023) - [c44]Dominik Kowald, Gregor Mayr, Markus Schedl, Elisabeth Lex:
A Study on Accuracy, Miscalibration, and Popularity Bias in Recommendations. BIAS 2023: 1-16 - [c42]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 - [i44]Dominik Kowald, Gregor Mayr, Markus Schedl, Elisabeth Lex:
A Study on Accuracy, Miscalibration, and Popularity Bias in Recommendations. CoRR abs/2303.00400 (2023) - [i42]Tomislav Duricic, Dominik Kowald, Emanuel Lacic, Elisabeth Lex:
Beyond-Accuracy: A Review on Diversity, Serendipity and Fairness in Recommender Systems Based on Graph Neural Networks. CoRR abs/2310.02294 (2023) - 2022
- [i38]Peter Müllner, Markus Schedl, Elisabeth Lex, Dominik Kowald:
ReuseKNN: Neighborhood Reuse for Privacy-Aware Recommendations. CoRR abs/2206.11561 (2022) - 2021
- [j12]Dominik Kowald, Peter Müllner, Eva Zangerle, Christine Bauer, Markus Schedl, Elisabeth Lex:
Support the underground: characteristics of beyond-mainstream music listeners. EPJ Data Sci. 10(1): 14 (2021) - [j11]Elisabeth Lex, Dominik Kowald, Paul Seitlinger, Thi Ngoc Trang Tran, Alexander Felfernig, Markus Schedl:
Psychology-informed Recommender Systems. Found. Trends Inf. Retr. 15(2): 134-242 (2021) - [c38]Tomislav Duricic, Dominik Kowald, Markus Schedl, Elisabeth Lex:
My friends also prefer diverse music: homophily and link prediction with user preferences for mainstream, novelty, and diversity in music. ASONAM 2021: 447-454 - [c37]Peter Müllner, Dominik Kowald, Elisabeth Lex:
Robustness of Meta Matrix Factorization Against Strict Privacy Constraints. ECIR (2) 2021: 107-119 - [c36]Oleg Lesota, Alessandro B. Melchiorre, Navid Rekabsaz, Stefan Brandl, Dominik Kowald, Elisabeth Lex, Markus Schedl:
Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected? RecSys 2021: 601-606 - [i35]Peter Müllner, Dominik Kowald, Elisabeth Lex:
Robustness of Meta Matrix Factorization Against Strict Privacy Constraints. CoRR abs/2101.06927 (2021) - [i34]Dominik Kowald, Peter Müllner, Eva Zangerle, Christine Bauer, Markus Schedl, Elisabeth Lex:
Support the Underground: Characteristics of Beyond-Mainstream Music Listeners. CoRR abs/2102.12188 (2021) - [i33]Oleg Lesota, Alessandro B. Melchiorre, Navid Rekabsaz, Stefan Brandl, Dominik Kowald, Elisabeth Lex, Markus Schedl:
Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected? CoRR abs/2108.06973 (2021) - [i32]Peter Müllner, Elisabeth Lex, Dominik Kowald:
Position Paper on Simulating Privacy Dynamics in Recommender Systems. CoRR abs/2109.06473 (2021) - [i31]Tomislav Duricic, Dominik Kowald, Markus Schedl, Elisabeth Lex:
My friends also prefer diverse music: homophily and link prediction with user preferences for mainstream, novelty, and diversity in music. CoRR abs/2111.00562 (2021) - 2020
- [j10]Markus Schedl, Christine Bauer, Wolfgang Reisinger, Dominik Kowald, Elisabeth Lex:
Listener Modeling and Context-Aware Music Recommendation Based on Country Archetypes. Frontiers Artif. Intell. 3: 508725 (2020) - [j9]Elisabeth Lex, Dominik Kowald, Markus Schedl:
Modeling Popularity and Temporal Drift of Music Genre Preferences. Trans. Int. Soc. Music. Inf. Retr. 3(1): 17-30 (2020) - [j8]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) - [c35]Dominik Kowald, Markus Schedl, Elisabeth Lex:
The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study. ECIR (2) 2020: 35-42 - [c34]Tomislav Duricic, Hussain Hussain, Emanuel Lacic, Dominik Kowald, Denis Helic, Elisabeth Lex:
Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering. ISMIS 2020: 181-191 - [i29]Dominik Kowald, Elisabeth Lex, Markus Schedl:
Utilizing Human Memory Processes to Model Genre Preferences for Personalized Music Recommendations. CoRR abs/2003.10699 (2020) - [i28]Tomislav Duricic, Hussain Hussain, Emanuel Lacic, Dominik Kowald, Denis Helic, Elisabeth Lex:
Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering. CoRR abs/2003.13345 (2020) - [i27]Markus Schedl, Christine Bauer, Wolfgang Reisinger, Dominik Kowald, Elisabeth Lex:
Listener Modeling and Context-aware Music Recommendation Based on Country Archetypes. CoRR abs/2009.09935 (2020) - 2019
- [j7]Adolfo Ruiz-Calleja, Sebastian Dennerlein, Dominik Kowald, Dieter Theiler, Elisabeth Lex, Tobias Ley:
An Infrastructure for Workplace Learning Analytics: Tracing Knowledge Creation with the Social Semantic Server. J. Learn. Anal. 6(2) (2019) - [c32]Simone Kopeinik, Elisabeth Lex, Dominik Kowald, Dietrich Albert, Paul Seitlinger:
A Real-Life School Study of Confirmation Bias and Polarisation in Information Behaviour. EC-TEL 2019: 409-422 - [c31]Elisabeth Lex, Dominik Kowald:
The Impact of Time on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach. GI-Jahrestagung 2019: 285-286 - [i26]Dominik Kowald, Simone Kopeinik, Elisabeth Lex:
The TagRec Framework as a Toolkit for the Development of Tag-Based Recommender Systems. CoRR abs/1901.00306 (2019) - [i25]Dominik Kowald, Elisabeth Lex, Markus Schedl:
Modeling Artist Preferences of Users with Different Music Consumption Patterns for Fair Music Recommendations. CoRR abs/1907.09781 (2019) - [i24]Tomislav Duricic, Emanuel Lacic, Dominik Kowald, Elisabeth Lex:
Exploiting weak ties in trust-based recommender systems using regular equivalence. CoRR abs/1907.11620 (2019) - [i23]Elisabeth Lex, Dominik Kowald:
The Impact of Time on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach. CoRR abs/1908.00977 (2019) - [i22]Dominik Kowald, Matthias Traub, Dieter Theiler, Heimo Gursch, Emanuel Lacic, Stefanie N. Lindstaedt, Roman Kern, Elisabeth Lex:
Using the Open Meta Kaggle Dataset to Evaluate Tripartite Recommendations in Data Markets. CoRR abs/1908.04017 (2019) - [i21]Emanuel Lacic, Dominik Kowald, Dieter Theiler, Matthias Traub, Lucky Kuffer, Stefanie N. Lindstaedt, Elisabeth Lex:
Evaluating Tag Recommendations for E-Book Annotation Using a Semantic Similarity Metric. CoRR abs/1908.04042 (2019) - [i20]Dominik Kowald, Markus Schedl, Elisabeth Lex:
The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study. CoRR abs/1912.04696 (2019) - 2018
- [j6]Paul Seitlinger, Tobias Ley, Dominik Kowald, Dieter Theiler, Ilire Hasani-Mavriqi, Sebastian Dennerlein, Elisabeth Lex, Dietrich Albert:
Balancing the Fluency-Consistency Tradeoff in Collaborative Information Search with a Recommender Approach. Int. J. Hum. Comput. Interact. 34(6): 557-575 (2018) - [c30]Dominik Kowald, Emanuel Lacic, Dieter Theiler, Elisabeth Lex:
AFEL-REC: A Recommender System for Providing Learning Resource Recommendations in Social Learning Environments. CIKM Workshops 2018 - [c29]Emanuel Lacic, Dominik Kowald, Elisabeth Lex:
Neighborhood Troubles: On the Value of User Pre-Filtering To Speed Up and Enhance Recommendations. CIKM Workshops 2018 - [c28]Sebastian Dennerlein, Dominik Kowald, Viktoria Pammer-Schindler, Elisabeth Lex, Tobias Ley:
Simulation-based Co-Creation of Algorithms. CC-TEL/TACKLE@EC-TEL 2018 - [c26]Tomislav Duricic, Emanuel Lacic, Dominik Kowald, Elisabeth Lex:
Trust-based collaborative filtering: tackling the cold start problem using regular equivalence. RecSys 2018: 446-450 - [c25]Dominik Kowald, Paul Seitlinger, Tobias Ley, Elisabeth Lex:
The Impact of Semantic Context Cues on the User Acceptance of Tag Recommendations: An Online Study. WWW (Companion Volume) 2018: 1-2 - [c24]Mathieu d'Aquin, Dominik Kowald, Angela Fessl, Elisabeth Lex, Stefan Thalmann:
AFEL - Analytics for Everyday Learning. WWW (Companion Volume) 2018: 439-440 - [i19]Dominik Kowald, Paul Seitlinger, Tobias Ley, Elisabeth Lex:
The Impact of Semantic Context Cues on the User Acceptance of Tag Recommendations: An Online Study. CoRR abs/1803.02179 (2018) - [i17]Dominik Kowald, Elisabeth Lex:
Overcoming the Imbalance Between Tag Recommendation Approaches and Real-World Folksonomy Structures with Cognitive-Inspired Algorithms. CoRR abs/1805.03067 (2018) - [i15]Tomislav Duricic, Emanuel Lacic, Dominik Kowald, Elisabeth Lex:
Trust-Based Collaborative Filtering: Tackling the Cold Start Problem Using Regular Equivalence. CoRR abs/1807.06839 (2018) - [i14]Dominik Kowald, Emanuel Lacic, Dieter Theiler, Elisabeth Lex:
AFEL-REC: A Recommender System for Providing Learning Resource Recommendations in Social Learning Environments. CoRR abs/1808.04603 (2018) - [i13]Emanuel Lacic, Dominik Kowald, Elisabeth Lex:
Neighborhood Troubles: On the Value of User Pre-Filtering To Speed Up and Enhance Recommendations. CoRR abs/1808.06417 (2018) - [i12]Dominik Kowald, Elisabeth Lex:
Studying Confirmation Bias in Hashtag Usage on Twitter. CoRR abs/1809.03203 (2018) - [i11]Elisabeth Lex, Mario Wagner, Dominik Kowald:
Mitigating Confirmation Bias on Twitter by Recommending Opposing Views. CoRR abs/1809.03901 (2018) - 2017
- [j5]Simone Kopeinik, Dominik Kowald, Ilire Hasani-Mavriqi, Elisabeth Lex:
Improving Collaborative Filtering Using a Cognitive Model of Human Category Learning. J. Web Sci. 2(4): 45-61 (2017) - [c23]Mathieu d'Aquin, Alessandro Adamou, Stefan Dietze, Besnik Fetahu, Ujwal Gadiraju, Ilire Hasani-Mavriqi, Peter Holtz, Joachim Kimmerle, Dominik Kowald, Elisabeth Lex, Susana López-Sola, Ricardo Alonso Maturana, Vedran Sabol, Pinelopi Troullinou, Eduardo E. Veas:
AFEL: Towards Measuring Online Activities Contributions to Self-directed Learning. ARTEL@EC-TEL 2017 - [c22]Emanuel Lacic, Dominik Kowald, Elisabeth Lex:
Tailoring Recommendations for a Multi-Domain Environment. RecSysKTL 2017: 42-45 - [c21]Dominik Kowald, Simone Kopeinik, Elisabeth Lex:
The TagRec Framework as a Toolkit for the Development of Tag-Based Recommender Systems. UMAP (Adjunct Publication) 2017: 23-28 - [c20]Dominik Kowald, Subhash Chandra Pujari, Elisabeth Lex:
Temporal Effects on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach. WWW 2017: 1401-1410 - [i10]Dominik Kowald, Subhash Chandra Pujari, Elisabeth Lex:
Temporal Effects on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach. CoRR abs/1701.01276 (2017) - [i9]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) - 2016
- [j3]Patricia Santos, Elisabeth Lex, Sebastian Dennerlein, Dieter Theiler, John Cook, Tamsin Treasure-Jones, Debbie Holley, Micky Kerr, Graham Attwell, Dominik Kowald:
Going beyond your Personal Learning Network, Using Recommendations and Trust through a Multimedia Question-Answering Service for Decision-support: a Case Study in the Healthcare. J. Univers. Comput. Sci. 22(3): 340-359 (2016) - [c19]Simone Kopeinik, Dominik Kowald, Elisabeth Lex:
Which Algorithms Suit Which Learning Environments? A Comparative Study of Recommender Systems in TEL. EC-TEL 2016: 124-138 - [c18]Dominik Kowald, Elisabeth Lex:
The Influence of Frequency, Recency and Semantic Context on the Reuse of Tags in Social Tagging Systems. HT 2016: 237-242 - [c17]Emanuel Lacic, Dominik Kowald, Elisabeth Lex:
High Enough?: Explaining and Predicting Traveler Satisfaction Using Airline Reviews. HT 2016: 249-254 - [i8]Dominik Kowald, Elisabeth Lex:
The Influence of Frequency, Recency and Semantic Context on the Reuse of Tags in Social Tagging Systems. CoRR abs/1604.00837 (2016) - [i7]Emanuel Lacic, Dominik Kowald, Elisabeth Lex:
High Enough? Explaining and Predicting Traveler Satisfaction Using Airline Review. CoRR abs/1604.00942 (2016) - 2015
- [c16]Sebastian Dennerlein, Dominik Kowald, Elisabeth Lex, Dieter Theiler, Emanuel Lacic, Tobias Ley:
The social semantic server: a flexible framework to support informal learning at the workplace. I-KNOW 2015: 26:1-26:8 - [c15]Matthias Traub, Dominik Kowald, Emanuel Lacic, Pepijn Schoen, Gernot Supp, Elisabeth Lex:
Smart booking without looking: providing hotel recommendations in the TripRebel portal. I-KNOW 2015: 50:1-50:4 - [c14]Dominik Kowald, Elisabeth Lex:
Evaluating Tag Recommender Algorithms in Real-World Folksonomies: A Comparative Study. RecSys 2015: 265-268 - [c13]Emanuel Lacic, Dominik Kowald, Matthias Traub, Granit Luzhnica, Jörg Simon, Elisabeth Lex:
Tackling Cold-Start Users in Recommender Systems with Indoor Positioning Systems. RecSys Posters 2015 - [c12]Paul Seitlinger, Dominik Kowald, Simone Kopeinik, Ilire Hasani-Mavriqi, Elisabeth Lex, Tobias Ley:
Attention Please! A Hybrid Resource Recommender Mimicking Attention-Interpretation Dynamics. WWW (Companion Volume) 2015: 339-345 - [i6]Paul Seitlinger, Dominik Kowald, Simone Kopeinik, Ilire Hasani-Mavriqi, Tobias Ley, Elisabeth Lex:
Attention Please! A Hybrid Resource Recommender Mimicking Attention-Interpretation Dynamics. CoRR abs/1501.07716 (2015)
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