Dominik Kowald

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 98

Top Venues

CoRR

WWW (Companion Volume)

RecSys

Publications

Tomislav Duricic, Peter Müllner, Nicole Weidinger, Neven A. M. ElSayed, Dominik Kowald, Eduardo E. Veas
AI-Powered Immersive Assistance for Interactive Task Execution in Industrial Environments. CoRR (2024)
Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald
Differential privacy in collaborative filtering recommender systems: a review. Frontiers Big Data 6 (2024)
Dominik Kowald
Transparency, Privacy, and Fairness in Recommender Systems. CoRR (2024)
Harald Semmelrock, Tony Ross-Hellauer, Simone Kopeinik, Dieter Theiler, Armin Haberl, Stefan Thalmann, Dominik Kowald
Reproducibility in Machine Learning-based Research: Overview, Barriers and Drivers. CoRR (2024)
Florian Koenigstorfer, Armin Haberl, Dominik Kowald, Tony Ross-Hellauer, Stefan Thalmann
Black Box or Open Science? Assessing Reproducibility-Related Documentation in AI Research. HICSS (2024)
Dominik Kowald, Deqing Yang, Emanuel Lacic
Editorial: Reviews in recommender systems: 2022. Frontiers Big Data 7 (2024)
Gustavo Escobedo, Marta Moscati, Peter Muellner, Simone Kopeinik, Dominik Kowald, Elisabeth Lex, Markus Schedl
Making Alice Appear Like Bob: A Probabilistic Preference Obfuscation Method For Implicit Feedback Recommendation Models. CoRR (2024)
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. Frontiers Big Data 6 (2024)
Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald
The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias. CoRR (2024)
Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald
The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias. ECIR (4) (2024)
Armin Haberl, Jürgen Fleiß, Dominik Kowald, Stefan Thalmann
Take the aTrain. Introducing an Interface for the Accessible Transcription of Interviews. CoRR (2023)
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 (2023)
Emanuel Lacic, Tomislav Duricic, Leon Fadljevic, Dieter Theiler, Dominik Kowald
Uptrendz: API-Centric Real-time Recommendations in Multi-Domain Settings. CoRR (2023)
Sebastian Scher, Bernhard Geiger, Simone Kopeinik, Andreas Trügler, Dominik Kowald
A conceptual model for leaving the data-centric approach in machine learning. CoRR (2023)
Dominik Kowald, Gregor Mayr, Markus Schedl, Elisabeth Lex
A Study on Accuracy, Miscalibration, and Popularity Bias in Recommendations. BIAS (2023)
Emanuel Lacic, Tomislav Duricic, Leon Fadljevic, Dieter Theiler, Dominik Kowald
Uptrendz: API-Centric Real-Time Recommendations in Multi-domain Settings. ECIR (3) (2023)
Harald Semmelrock, Simone Kopeinik, Dieter Theiler, Tony Ross-Hellauer, Dominik Kowald
Reproducibility in Machine Learning-Driven Research. CoRR (2023)
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)
Dominik Kowald, Gregor Mayr, Markus Schedl, Elisabeth Lex
A Study on Accuracy, Miscalibration, and Popularity Bias in Recommendations. CoRR (2023)
Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald
ReuseKNN: Neighborhood Reuse for Differentially Private KNN-Based Recommendations. ACM Trans. Intell. Syst. Technol. 14 (5) (2023)
Peter Müllner, Stefan Schmerda, Dieter Theiler, Stefanie Lindstaedt, Dominik Kowald
Towards Employing Recommender Systems for Supporting Data and Algorithm Sharing. CoRR (2022)
Dominik Kowald, Emanuel Lacic
Popularity Bias in Collaborative Filtering-Based Multimedia Recommender Systems. BIAS (2022)
Dominik Kowald, Emanuel Lacic
Popularity Bias in Collaborative Filtering-Based Multimedia Recommender Systems. CoRR (2022)
Sebastian Scher, Simone Kopeinik, Andreas Trügler, Dominik Kowald
Long-term dynamics of fairness: understanding the impact of data-driven targeted help on job seekers. CoRR (2022)
Peter Müllner, Markus Schedl, Elisabeth Lex, Dominik Kowald
ReuseKNN: Neighborhood Reuse for Privacy-Aware Recommendations. CoRR (2022)
Emanuel Lacic, Dominik Kowald
Recommendations in a Multi-Domain Setting: Adapting for Customization, Scalability and Real-Time Performance. CoRR (2022)
Emanuel Lacic, Leon Fadljevic, Franz Weissenboeck, Stefanie N. Lindstaedt, Dominik Kowald
What Drives Readership? An Online Study on User Interface Types and Popularity Bias Mitigation in News Article Recommendations. ECIR (2) (2022)
Peter Müllner, Stefan Schmerda, Dieter Theiler, Stefanie Lindstaedt, Dominik Kowald
Towards employing recommender systems for supporting data and algorithm sharing. DE@CoNEXT (2022)
Peter Müllner, Elisabeth Lex, Dominik Kowald
Position Paper on Simulating Privacy Dynamics in Recommender Systems. CoRR (2021)
Peter Müllner, Dominik Kowald, Elisabeth Lex
Robustness of Meta Matrix Factorization Against Strict Privacy Constraints. CoRR (2021)
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)
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) (2021)
Elisabeth Lex, Dominik Kowald, Paul Seitlinger, Thi Ngoc Trang Tran, Alexander Felfernig, Markus Schedl
Psychology-informed Recommender Systems. Found. Trends Inf. Retr. 15 (2) (2021)
Emanuel Lacic, Leon Fadljevic, Franz Weissenboeck, Stefanie N. Lindstädt, Dominik Kowald
What Drives Readership? An Online Study on User Interface Types and Popularity Bias Mitigation in News Article Recommendations. CoRR (2021)
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 (2021)
Dominik Kowald, Peter Müllner, Eva Zangerle, Christine Bauer, Markus Schedl, Elisabeth Lex
Support the Underground: Characteristics of Beyond-Mainstream Music Listeners. CoRR (2021)
Peter Müllner, Dominik Kowald, Elisabeth Lex
Robustness of Meta Matrix Factorization Against Strict Privacy Constraints. ECIR (2) (2021)
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 (2021)
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)
Markus Schedl, Christine Bauer, Wolfgang Reisinger, Dominik Kowald, Elisabeth Lex
Listener Modeling and Context-aware Music Recommendation Based on Country Archetypes. CoRR (2020)
Leon Fadljevic, Katharina Maitz, Dominik Kowald, Viktoria Pammer-Schindler, Barbara Gasteiger-Klicpera
Slow is good: the effect of diligence on student performance in the case of an adaptive learning system for health literacy. LAK (2020)
Tomislav Duricic, Hussain Hussain, Emanuel Lacic, Dominik Kowald, Denis Helic, Elisabeth Lex
Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering. CoRR (2020)
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 (2020)
Elisabeth Lex, Dominik Kowald, Markus Schedl
Modeling Popularity and Temporal Drift of Music Genre Preferences. Trans. Int. Soc. Music. Inf. Retr. 3 (1) (2020)
Tomislav Duricic, Hussain Hussain, Emanuel Lacic, Dominik Kowald, Denis Helic, Elisabeth Lex
Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering. ISMIS (2020)
Dominik Kowald, Markus Schedl, Elisabeth Lex
The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study. ECIR (2) (2020)
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) (2020)
Dominik Kowald, Elisabeth Lex, Markus Schedl
Utilizing Human Memory Processes to Model Genre Preferences for Personalized Music Recommendations. CoRR (2020)
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)
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 (2019)
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)
Dominik Kowald, Simone Kopeinik, Elisabeth Lex
The TagRec Framework as a Toolkit for the Development of Tag-Based Recommender Systems. CoRR (2019)
Tomislav Duricic, Emanuel Lacic, Dominik Kowald, Elisabeth Lex
Exploiting weak ties in trust-based recommender systems using regular equivalence. CoRR (2019)
Elisabeth Lex, Dominik Kowald
The Impact of Time on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach. CoRR (2019)
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 (2019)
Dominik Kowald, Elisabeth Lex, Markus Schedl
Modeling Artist Preferences of Users with Different Music Consumption Patterns for Fair Music Recommendations. CoRR (2019)
Elisabeth Lex, Dominik Kowald
The Impact of Time on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach. GI-Jahrestagung (2019)
Dominik Kowald, Markus Schedl, Elisabeth Lex
The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study. CoRR (2019)
Emanuel Lacic, Dominik Kowald, Elisabeth Lex
Neighborhood Troubles: On the Value of User Pre-Filtering To Speed Up and Enhance Recommendations. CIKM Workshops (2018)
Dominik Kowald, Elisabeth Lex
Studying Confirmation Bias in Hashtag Usage on Twitter. CoRR (2018)
Dominik Kowald, Emanuel Lacic, Dieter Theiler, Elisabeth Lex
AFEL-REC: A Recommender System for Providing Learning Resource Recommendations in Social Learning Environments. CoRR (2018)
Sebastian Dennerlein, Dominik Kowald, Viktoria Pammer-Schindler, Elisabeth Lex, Tobias Ley
Simulation-based Co-Creation of Algorithms. CC-TEL/TACKLE@EC-TEL (2018)
Elisabeth Lex, Mario Wagner, Dominik Kowald
Mitigating Confirmation Bias on Twitter by Recommending Opposing Views. CoRR (2018)
Tomislav Duricic, Emanuel Lacic, Dominik Kowald, Elisabeth Lex
Trust-Based Collaborative Filtering: Tackling the Cold Start Problem Using Regular Equivalence. CoRR (2018)
Dominik Kowald
Modeling Cognitive Processes in Social Tagging to Improve Tag Recommendations. CoRR (2018)
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) (2018)
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)
Mathieu d'Aquin, Dominik Kowald, Angela Fessl, Elisabeth Lex, Stefan Thalmann
AFEL - Analytics for Everyday Learning. WWW (Companion Volume) (2018)
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 (2018)
Tomislav Duricic, Emanuel Lacic, Dominik Kowald, Elisabeth Lex
Trust-based collaborative filtering: tackling the cold start problem using regular equivalence. RecSys (2018)
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)
Dominik Kowald, Elisabeth Lex
Overcoming the Imbalance Between Tag Recommendation Approaches and Real-World Folksonomy Structures with Cognitive-Inspired Algorithms. CoRR (2018)
Emanuel Lacic, Dominik Kowald, Elisabeth Lex
Neighborhood Troubles: On the Value of User Pre-Filtering To Speed Up and Enhance Recommendations. CoRR (2018)
Dominik Kowald
Modeling Activation Processes in Human Memory to Improve Tag Recommendations. CoRR (2018)
Angela Fessl, Dominik Kowald, Susana López-Sola, Ana Moreno, Ricardo Alonso Maturana, Stefan Thalmann
Analytics for Everyday Learning from two Perspectives: Knowledge Workers and Teachers. AFEL@EC-TEL (2018)
Dominik Kowald, Subhash Chandra Pujari, Elisabeth Lex
Temporal Effects on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach. CoRR (2017)
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)
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 (2017)
Dominik Kowald, Subhash Chandra Pujari, Elisabeth Lex
Temporal Effects on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach. WWW (2017)
Emanuel Lacic, Dominik Kowald, Elisabeth Lex
Tailoring Recommendations for a Multi-Domain Environment. RecSysKTL (2017)
Dominik Kowald
Modeling Activation Processes in Human Memory to Improve Tag Recommendations. SIGIR Forum 51 (3) (2017)
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) (2017)
Dominik Kowald, Simone Kopeinik, Elisabeth Lex
The TagRec Framework as a Toolkit for the Development of Tag-Based Recommender Systems. UMAP (Adjunct Publication) (2017)
Dominik Kowald, Elisabeth Lex
The Influence of Frequency, Recency and Semantic Context on the Reuse of Tags in Social Tagging Systems. HT (2016)
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) (2016)
Christoph Trattner, Dominik Kowald, Paul Seitlinger, Tobias Ley, Simone Kopeinik
Modeling Activation Processes in Human Memory to Predict the Use of Tags in Social Bookmarking Systems. J. Web Sci. 2 (1) (2016)
Emanuel Lacic, Dominik Kowald, Elisabeth Lex
High Enough?: Explaining and Predicting Traveler Satisfaction Using Airline Reviews. HT (2016)
Emanuel Lacic, Dominik Kowald, Elisabeth Lex
High Enough? Explaining and Predicting Traveler Satisfaction Using Airline Review. CoRR (2016)
Dominik Kowald, Elisabeth Lex
The Influence of Frequency, Recency and Semantic Context on the Reuse of Tags in Social Tagging Systems. CoRR (2016)
Simone Kopeinik, Dominik Kowald, Elisabeth Lex
Which Algorithms Suit Which Learning Environments? A Comparative Study of Recommender Systems in TEL. EC-TEL (2016)
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)
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)
Dominik Kowald, Elisabeth Lex
Evaluating Tag Recommender Algorithms in Real-World Folksonomies: A Comparative Study. RecSys (2015)
Dominik Kowald
Modeling Cognitive Processes in Social Tagging to Improve Tag Recommendations. WWW (Companion Volume) (2015)
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)
Christoph Trattner, Dominik Kowald, Emanuel Lacic
TagRec: towards a toolkit for reproducible evaluation and development of tag-based recommender algorithms. SIGWEB Newsl. 2015 (Winter) (2015)
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)
Paul Seitlinger, Dominik Kowald, Simone Kopeinik, Ilire Hasani-Mavriqi, Tobias Ley, Elisabeth Lex
Attention Please! A Hybrid Resource Recommender Mimicking Attention-Interpretation Dynamics. CoRR (2015)
Emanuel Lacic, Dominik Kowald, Christoph Trattner
SocRecM: a scalable social recommender engine for online marketplaces. HT (2014)
Emanuel Lacic, Dominik Kowald, Paul Seitlinger, Christoph Trattner, Denis Parra
Recommending Items in Social Tagging Systems Using Tag and Time Informations. HT (Doctoral Consortium / Late-breaking Results / Workshops) (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Dominik Kowald