Dominik Kowald

143 papers A* 1A 11B 3C 1Journal 86Unranked 41

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Self-Certification of High-Risk AI Systems: The Example of AI-based Facial Emotion Recognition. CoRR Gregor Autischer, Kerstin Waxnegger, Dominik Kowald
2025	J	`jnl`	A Multistakeholder Approach to Value-Driven Co-Design of Recommender System Evaluation Metrics in Digital Archives. CoRR Florian Atzenhofer-Baumgartner, Georg Vogeler, Dominik Kowald
2025	A	`conf`	A Multistakeholder Approach to Value-Driven Co-Design of Recommender Systems Evaluation Metrics in Digital Archives. RecSys Florian Atzenhofer-Baumgartner, Georg Vogeler, Dominik Kowald
2025	—	`conf`	AI Certification and Assessment Catalogues: Practical Use and Challenges in the Context of the European AI Act. EWAF Gregor Autischer, Kerstin Waxnegger, Dominik Kowald
2025	J	`jnl`	De-centering the (Traditional) User: Multistakeholder Evaluation of Recommender Systems. CoRR Robin Burke, Gediminas Adomavicius, Toine Bogers, Tommaso Di Noia, Dominik Kowald, Julia Neidhardt, Özlem Özgöbek, Maria Soledad Pera, Nava Tintarev, Jürgen Ziegler
2025	J	`jnl`	De-centering the (Traditional) user: Multistakeholder evaluation of recommender systems. Int. J. Hum. Comput. Stud. Robin Burke, Gediminas Adomavicius, Toine Bogers, Tommaso Di Noia, Dominik Kowald, Julia Neidhardt, Özlem Özgöbek, Maria Soledad Pera, Nava Tintarev, Jürgen Ziegler
2025	A	`conf`	Exploring the Effect of Context-Awareness and Popularity Calibration on Popularity Bias in POI Recommendations. RecSys Andrea Forster, Simone Kopeinik, Denis Helic, Stefan Thalmann, Dominik Kowald
2025	J	`jnl`	Exploring the Effect of Context-Awareness and Popularity Calibration on Popularity Bias in POI Recommendations. CoRR Andrea Forster, Simone Kopeinik, Denis Helic, Stefan Thalmann, Dominik Kowald
2025	—	`conf`	Hybrid AI for Human-Centric Personalization (HyPer). UMAP (Adjunct Publication) Elisabeth Lex, Kevin Innerebner, Marko Tkalcic, Dominik Kowald, Markus Schedl
2025	—	`conf`	Hybrid Personalization Using Declarative and Procedural Memory Modules of the Cognitive Architecture ACT-R. UMAP (Adjunct Publication) Kevin Innerebner, Dominik Kowald, Markus Schedl, Elisabeth Lex
2025	J	`jnl`	Hybrid Personalization Using Declarative and Procedural Memory Modules of the Cognitive Architecture ACT-R. CoRR Kevin Innerebner, Dominik Kowald, Markus Schedl, Elisabeth Lex
2025	A	`conf`	Impacts of Mainstream-Driven Algorithms on Recommendations for Children Across Domains: A Reproducibility Study. RecSys Robin Ungruh, Alejandro Bellogín, Dominik Kowald, Maria Soledad Pera
2025	J	`jnl`	Impacts of Mainstream-Driven Algorithms on Recommendations for Children Across Domains: A Reproducibility Study. CoRR Robin Ungruh, Alejandro Bellogín, Dominik Kowald, Maria Soledad Pera
2025	—	`conf`	Investigating Popularity Bias Amplification in Recommender Systems Employed in the Entertainment Domain. EWAF Dominik Kowald
2025	J	`jnl`	Investigating Popularity Bias Amplification in Recommender Systems Employed in the Entertainment Domain. CoRR Dominik Kowald
2025	J	`jnl`	Multistakeholder Fairness in Tourism: What can Algorithms learn from Tourism Management? CoRR Peter Muellner, Anna Schreuer, Simone Kopeinik, Bernhard Wieser, Dominik Kowald
2025	J	`jnl`	Multistakeholder fairness in tourism: what can algorithms learn from tourism management? Frontiers Big Data Peter Müllner, Anna Schreuer, Simone Kopeinik, Bernhard Wieser, Dominik Kowald
2025	J	`jnl`	Practical Application and Limitations of AI Certification Catalogues in the Light of the AI Act. CoRR Gregor Autischer, Kerstin Waxnegger, Dominik Kowald
2025	J	`jnl`	Private and Fair Machine Learning: Revisiting the Disparate Impact of Differentially Private SGD. CoRR Lea Demelius, Dominik Kowald, Simone Kopeinik, Roman Kern, Andreas Trügler
2025	J	`jnl`	Private and Fair Machine Learning: Revisiting the Disparate Impact of Differentially Private SGD. Trans. Mach. Learn. Res. Lea Demelius, Simone Kopeinik, Dominik Kowald, Roman Kern, Andreas Trügler
2025	J	`jnl`	Reproducibility in machine-learning-based research: Overview, barriers, and drivers. AI Mag. Harald Semmelrock, Tony Ross-Hellauer, Simone Kopeinik, Dieter Theiler, Armin Haberl, Stefan Thalmann, Dominik Kowald
2024	A	`conf`	AI-Powered Immersive Assistance for Interactive Task Execution in Industrial Environments. ECAI Tomislav Duricic, Peter Müllner, Nicole Weidinger, Neven A. M. ElSayed, Dominik Kowald, Eduardo E. Veas
2024	J	`jnl`	AI-Powered Immersive Assistance for Interactive Task Execution in Industrial Environments. CoRR Tomislav Duricic, Peter Müllner, Nicole Weidinger, Neven A. M. ElSayed, Dominik Kowald, Eduardo E. Veas
2024	J	`jnl`	Beyond-accuracy: a review on diversity, serendipity, and fairness in recommender systems based on graph neural networks. Frontiers Big Data Tomislav Duricic, Dominik Kowald, Emanuel Lacic, Elisabeth Lex
2024	—	`conf`	Black Box or Open Science? Assessing Reproducibility-Related Documentation in AI Research. HICSS Florian Koenigstorfer, Armin Haberl, Dominik Kowald, Tony Ross-Hellauer, Stefan Thalmann
2024	J	`jnl`	Challenges in Implementing a Recommender System for Historical Research in the Humanities. CoRR Florian Atzenhofer-Baumgartner, Bernhard C. Geiger, Christoph Trattner, Georg Vogeler, Dominik Kowald
2024	J	`jnl`	Differential privacy in collaborative filtering recommender systems: a review. Frontiers Big Data Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald
2024	J	`jnl`	Editorial: Reviews in recommender systems: 2022. Frontiers Big Data Dominik Kowald, Deqing Yang, Emanuel Lacic
2024	J	`jnl`	Establishing and Evaluating Trustworthy AI: Overview and Research Challenges. CoRR Dominik Kowald, Sebastian Scher, Viktoria Pammer-Schindler, Peter Müllner, Kerstin Waxnegger, Lea Demelius, Angela Fessl, Maximilian Toller, Inti Gabriel Mendoza Estrada, Ilija Simic, Vedran Sabol, Andreas Trügler, Eduardo E. Veas, Roman Kern, Tomislav Nad, Simone Kopeinik
2024	J	`jnl`	Establishing and evaluating trustworthy AI: overview and research challenges. Frontiers Big Data Dominik Kowald, Sebastian Scher, Viktoria Pammer-Schindler, Peter Müllner, Kerstin Waxnegger, Lea Demelius, Angela Fessl, Maximilian Toller, Inti Gabriel Mendoza Estrada, Ilija Simic, Vedran Sabol, Andreas Trügler, Eduardo E. Veas, Roman Kern, Tomislav Nad, Simone Kopeinik
2024	—	`conf`	Making Alice Appear Like Bob: A Probabilistic Preference Obfuscation Method For Implicit Feedback Recommendation Models. ECML/PKDD (7) Gustavo Escobedo, Marta Moscati, Peter Muellner, Simone Kopeinik, Dominik Kowald, Elisabeth Lex, Markus Schedl
2024	J	`jnl`	Making Alice Appear Like Bob: A Probabilistic Preference Obfuscation Method For Implicit Feedback Recommendation Models. CoRR Gustavo Escobedo, Marta Moscati, Peter Muellner, Simone Kopeinik, Dominik Kowald, Elisabeth Lex, Markus Schedl
2024	A	`conf`	Oh, Behave! Country Representation Dynamics Created by Feedback Loops in Music Recommender Systems. RecSys Oleg Lesota, Jonas Geiger, Max Walder, Dominik Kowald, Markus Schedl
2024	J	`jnl`	Oh, Behave! Country Representation Dynamics Created by Feedback Loops in Music Recommender Systems. CoRR Oleg Lesota, Jonas Geiger, Max Walder, Dominik Kowald, Markus Schedl
2024	J	`jnl`	Reproducibility in Machine Learning-based Research: Overview, Barriers and Drivers. CoRR Harald Semmelrock, Tony Ross-Hellauer, Simone Kopeinik, Dieter Theiler, Armin Haberl, Stefan Thalmann, Dominik Kowald
2024	—	`conf`	The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias. ECIR (4) Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald
2024	J	`jnl`	The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias. CoRR Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald
2024	J	`jnl`	Transparency, Privacy, and Fairness in Recommender Systems. CoRR Dominik Kowald
2024	—	`conf`	Value Identification in Multistakeholder Recommender Systems for Humanities and Historical Research: The Case of the Digital Archive Monasterium.net. NORMalize@RecSys Florian Atzenhofer-Baumgartner, Bernhard C. Geiger, Georg Vogeler, Dominik Kowald
2024	J	`jnl`	Value Identification in Multistakeholder Recommender Systems for Humanities and Historical Research: The Case of the Digital Archive Monasterium.net. CoRR Florian Atzenhofer-Baumgartner, Bernhard C. Geiger, Georg Vogeler, Dominik Kowald
2023	—	`conf`	A Study on Accuracy, Miscalibration, and Popularity Bias in Recommendations. BIAS Dominik Kowald, Gregor Mayr, Markus Schedl, Elisabeth Lex
2023	J	`jnl`	A Study on Accuracy, Miscalibration, and Popularity Bias in Recommendations. CoRR Dominik Kowald, Gregor Mayr, Markus Schedl, Elisabeth Lex
2023	J	`jnl`	A conceptual model for leaving the data-centric approach in machine learning. CoRR Sebastian Scher, Bernhard C. Geiger, Simone Kopeinik, Andreas Trügler, Dominik Kowald
2023	J	`jnl`	Beyond-Accuracy: A Review on Diversity, Serendipity and Fairness in Recommender Systems Based on Graph Neural Networks. CoRR Tomislav Duricic, Dominik Kowald, Emanuel Lacic, Elisabeth Lex
2023	A	`conf`	Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendation. RecSys Marta Moscati, Christian Wallmann, Markus Reiter-Haas, Dominik Kowald, Elisabeth Lex, Markus Schedl
2023	J	`jnl`	Reproducibility in Machine Learning-Driven Research. CoRR Harald Semmelrock, Simone Kopeinik, Dieter Theiler, Tony Ross-Hellauer, Dominik Kowald
2023	J	`jnl`	ReuseKNN: Neighborhood Reuse for Differentially Private KNN-Based Recommendations. ACM Trans. Intell. Syst. Technol. Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald
2023	J	`jnl`	Take the aTrain. Introducing an Interface for the Accessible Transcription of Interviews. CoRR Armin Haberl, Jürgen Fleiß, Dominik Kowald, Stefan Thalmann
2023	—	`conf`	Uptrendz: API-Centric Real-Time Recommendations in Multi-domain Settings. ECIR (3) Emanuel Lacic, Tomislav Duricic, Leon Fadljevic, Dieter Theiler, Dominik Kowald
2023	J	`jnl`	Uptrendz: API-Centric Real-time Recommendations in Multi-Domain Settings. CoRR Emanuel Lacic, Tomislav Duricic, Leon Fadljevic, Dieter Theiler, Dominik Kowald
2022	J	`jnl`	Long-term dynamics of fairness: understanding the impact of data-driven targeted help on job seekers. CoRR Sebastian Scher, Simone Kopeinik, Andreas Trügler, Dominik Kowald
2022	—	`conf`	Popularity Bias in Collaborative Filtering-Based Multimedia Recommender Systems. BIAS Dominik Kowald, Emanuel Lacic
2022	J	`jnl`	Popularity Bias in Collaborative Filtering-Based Multimedia Recommender Systems. CoRR Dominik Kowald, Emanuel Lacic
2022	J	`jnl`	Recommendations in a Multi-Domain Setting: Adapting for Customization, Scalability and Real-Time Performance. CoRR Emanuel Lacic, Dominik Kowald
2022	J	`jnl`	ReuseKNN: Neighborhood Reuse for Privacy-Aware Recommendations. CoRR Peter Müllner, Markus Schedl, Elisabeth Lex, Dominik Kowald
2022	J	`jnl`	Towards Employing Recommender Systems for Supporting Data and Algorithm Sharing. CoRR Peter Müllner, Stefan Schmerda, Dieter Theiler, Stefanie N. Lindstaedt, Dominik Kowald
2022	—	`conf`	Towards employing recommender systems for supporting data and algorithm sharing. DE@CoNEXT Peter Müllner, Stefan Schmerda, Dieter Theiler, Stefanie N. Lindstaedt, Dominik Kowald
2022	—	`conf`	What Drives Readership? An Online Study on User Interface Types and Popularity Bias Mitigation in News Article Recommendations. ECIR (2) Emanuel Lacic, Leon Fadljevic, Franz Weissenboeck, Stefanie N. Lindstaedt, Dominik Kowald
2021	A	`conf`	Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected? RecSys Oleg Lesota, Alessandro B. Melchiorre, Navid Rekabsaz, Stefan Brandl, Dominik Kowald, Elisabeth Lex, Markus Schedl
2021	J	`jnl`	Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected? CoRR Oleg Lesota, Alessandro B. Melchiorre, Navid Rekabsaz, Stefan Brandl, Dominik Kowald, Elisabeth Lex, Markus Schedl
2021	B	`conf`	My friends also prefer diverse music: homophily and link prediction with user preferences for mainstream, novelty, and diversity in music. ASONAM Tomislav Duricic, Dominik Kowald, Markus Schedl, Elisabeth Lex
2021	J	`jnl`	My friends also prefer diverse music: homophily and link prediction with user preferences for mainstream, novelty, and diversity in music. CoRR Tomislav Duricic, Dominik Kowald, Markus Schedl, Elisabeth Lex
2021	J	`jnl`	Position Paper on Simulating Privacy Dynamics in Recommender Systems. CoRR Peter Müllner, Elisabeth Lex, Dominik Kowald
2021	J	`jnl`	Psychology-informed Recommender Systems. Found. Trends Inf. Retr. Elisabeth Lex, Dominik Kowald, Paul Seitlinger, Thi Ngoc Trang Tran, Alexander Felfernig, Markus Schedl
2021	—	`conf`	Robustness of Meta Matrix Factorization Against Strict Privacy Constraints. ECIR (2) Peter Müllner, Dominik Kowald, Elisabeth Lex
2021	J	`jnl`	Robustness of Meta Matrix Factorization Against Strict Privacy Constraints. CoRR Peter Müllner, Dominik Kowald, Elisabeth Lex
2021	J	`jnl`	Support the Underground: Characteristics of Beyond-Mainstream Music Listeners. CoRR Dominik Kowald, Peter Müllner, Eva Zangerle, Christine Bauer, Markus Schedl, Elisabeth Lex
2021	J	`jnl`	Support the underground: characteristics of beyond-mainstream music listeners. EPJ Data Sci. Dominik Kowald, Peter Müllner, Eva Zangerle, Christine Bauer, Markus Schedl, Elisabeth Lex
2021	J	`jnl`	What Drives Readership? An Online Study on User Interface Types and Popularity Bias Mitigation in News Article Recommendations. CoRR Emanuel Lacic, Leon Fadljevic, Franz Weissenboeck, Stefanie N. Lindstädt, Dominik Kowald
2020	C	`conf`	Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering. ISMIS Tomislav Duricic, Hussain Hussain, Emanuel Lacic, Dominik Kowald, Denis Helic, Elisabeth Lex
2020	J	`jnl`	Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering. CoRR Tomislav Duricic, Hussain Hussain, Emanuel Lacic, Dominik Kowald, Denis Helic, Elisabeth Lex
2020	J	`jnl`	Listener Modeling and Context-Aware Music Recommendation Based on Country Archetypes. Frontiers Artif. Intell. Markus Schedl, Christine Bauer, Wolfgang Reisinger, Dominik Kowald, Elisabeth Lex
2020	J	`jnl`	Listener Modeling and Context-aware Music Recommendation Based on Country Archetypes. CoRR Markus Schedl, Christine Bauer, Wolfgang Reisinger, Dominik Kowald, Elisabeth Lex
2020	J	`jnl`	Modeling Popularity and Temporal Drift of Music Genre Preferences. Trans. Int. Soc. Music. Inf. Retr. Elisabeth Lex, Dominik Kowald, Markus Schedl
2020	A	`conf`	Slow is good: the effect of diligence on student performance in the case of an adaptive learning system for health literacy. LAK Leon Fadljevic, Katharina Maitz, Dominik Kowald, Viktoria Pammer-Schindler, Barbara Gasteiger-Klicpera
2020	—	`conf`	The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study. ECIR (2) Dominik Kowald, Markus Schedl, Elisabeth Lex
2020	J	`jnl`	Using autoencoders for session-based job recommendations. User Model. User Adapt. Interact. Emanuel Lacic, Markus Reiter-Haas, Dominik Kowald, Manoj Reddy Dareddy, Junghoo Cho, Elisabeth Lex
2020	J	`jnl`	Utilizing Human Memory Processes to Model Genre Preferences for Personalized Music Recommendations. CoRR Dominik Kowald, Elisabeth Lex, Markus Schedl
2019	B	`conf`	A Real-Life School Study of Confirmation Bias and Polarisation in Information Behaviour. EC-TEL Simone Kopeinik, Elisabeth Lex, Dominik Kowald, Dietrich Albert, Paul Seitlinger
2019	J	`jnl`	An Infrastructure for Workplace Learning Analytics: Tracing Knowledge Creation with the Social Semantic Server. J. Learn. Anal. Adolfo Ruiz-Calleja, Sebastian Dennerlein, Dominik Kowald, Dieter Theiler, Elisabeth Lex, Tobias Ley
2019	J	`jnl`	Evaluating Tag Recommendations for E-Book Annotation Using a Semantic Similarity Metric. CoRR Emanuel Lacic, Dominik Kowald, Dieter Theiler, Matthias Traub, Lucky Kuffer, Stefanie N. Lindstaedt, Elisabeth Lex
2019	J	`jnl`	Exploiting weak ties in trust-based recommender systems using regular equivalence. CoRR Tomislav Duricic, Emanuel Lacic, Dominik Kowald, Elisabeth Lex
2019	J	`jnl`	Modeling Artist Preferences of Users with Different Music Consumption Patterns for Fair Music Recommendations. CoRR Dominik Kowald, Elisabeth Lex, Markus Schedl
2019	—	`conf`	The Impact of Time on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach. GI-Jahrestagung Elisabeth Lex, Dominik Kowald
2019	J	`jnl`	The Impact of Time on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach. CoRR Elisabeth Lex, Dominik Kowald
2019	J	`jnl`	The TagRec Framework as a Toolkit for the Development of Tag-Based Recommender Systems. CoRR Dominik Kowald, Simone Kopeinik, Elisabeth Lex
2019	J	`jnl`	The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study. CoRR Dominik Kowald, Markus Schedl, Elisabeth Lex
2019	J	`jnl`	Using the Open Meta Kaggle Dataset to Evaluate Tripartite Recommendations in Data Markets. CoRR Dominik Kowald, Matthias Traub, Dieter Theiler, Heimo Gursch, Emanuel Lacic, Stefanie N. Lindstaedt, Roman Kern, Elisabeth Lex
2018	—	`conf`	AFEL - Analytics for Everyday Learning. WWW (Companion Volume) Mathieu d'Aquin, Dominik Kowald, Angela Fessl, Elisabeth Lex, Stefan Thalmann
2018	—	`conf`	AFEL-REC: A Recommender System for Providing Learning Resource Recommendations in Social Learning Environments. CIKM Workshops Dominik Kowald, Emanuel Lacic, Dieter Theiler, Elisabeth Lex
2018	J	`jnl`	AFEL-REC: A Recommender System for Providing Learning Resource Recommendations in Social Learning Environments. CoRR Dominik Kowald, Emanuel Lacic, Dieter Theiler, Elisabeth Lex
2018	—	`conf`	Analytics for Everyday Learning from two Perspectives: Knowledge Workers and Teachers. AFEL@EC-TEL Angela Fessl, Dominik Kowald, Susana López-Sola, Ana Moreno, Ricardo Alonso Maturana, Stefan Thalmann
2018	J	`jnl`	Balancing the Fluency-Consistency Tradeoff in Collaborative Information Search with a Recommender Approach. Int. J. Hum. Comput. Interact. Paul Seitlinger, Tobias Ley, Dominik Kowald, Dieter Theiler, Ilire Hasani-Mavriqi, Sebastian Dennerlein, Elisabeth Lex, Dietrich Albert
2018	J	`jnl`	Mitigating Confirmation Bias on Twitter by Recommending Opposing Views. CoRR Elisabeth Lex, Mario Wagner, Dominik Kowald
2018	J	`jnl`	Modeling Activation Processes in Human Memory to Improve Tag Recommendations. CoRR Dominik Kowald
2018	J	`jnl`	Modeling Cognitive Processes in Social Tagging to Improve Tag Recommendations. CoRR Dominik Kowald
2018	—	`conf`	Neighborhood Troubles: On the Value of User Pre-Filtering To Speed Up and Enhance Recommendations. CIKM Workshops Emanuel Lacic, Dominik Kowald, Elisabeth Lex
2018	J	`jnl`	Neighborhood Troubles: On the Value of User Pre-Filtering To Speed Up and Enhance Recommendations. CoRR Emanuel Lacic, Dominik Kowald, Elisabeth Lex
2018	J	`jnl`	Overcoming the Imbalance Between Tag Recommendation Approaches and Real-World Folksonomy Structures with Cognitive-Inspired Algorithms. CoRR Dominik Kowald, Elisabeth Lex
2018	—	`conf`	Simulation-based Co-Creation of Algorithms. CC-TEL/TACKLE@EC-TEL Sebastian Dennerlein, Dominik Kowald, Viktoria Pammer-Schindler, Elisabeth Lex, Tobias Ley
2018	J	`jnl`	Studying Confirmation Bias in Hashtag Usage on Twitter. CoRR Dominik Kowald, Elisabeth Lex
2018	—	`conf`	The Impact of Semantic Context Cues on the User Acceptance of Tag Recommendations: An Online Study. WWW (Companion Volume) Dominik Kowald, Paul Seitlinger, Tobias Ley, Elisabeth Lex
2018	J	`jnl`	The Impact of Semantic Context Cues on the User Acceptance of Tag Recommendations: An Online Study. CoRR Dominik Kowald, Paul Seitlinger, Tobias Ley, Elisabeth Lex
2018	J	`jnl`	Trust-Based Collaborative Filtering: Tackling the Cold Start Problem Using Regular Equivalence. CoRR Tomislav Duricic, Emanuel Lacic, Dominik Kowald, Elisabeth Lex
2018	A	`conf`	Trust-based collaborative filtering: tackling the cold start problem using regular equivalence. RecSys Tomislav Duricic, Emanuel Lacic, Dominik Kowald, Elisabeth Lex
2017	—	`conf`	AFEL: Towards Measuring Online Activities Contributions to Self-directed Learning. ARTEL@EC-TEL 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
2017	J	`jnl`	Beyond Accuracy Optimization: On the Value of Item Embeddings for Student Job Recommendations. CoRR Emanuel Lacic, Dominik Kowald, Markus Reiter-Haas, Valentin Slawicek, Elisabeth Lex
2017	J	`jnl`	Improving Collaborative Filtering Using a Cognitive Model of Human Category Learning. J. Web Sci. Simone Kopeinik, Dominik Kowald, Ilire Hasani-Mavriqi, Elisabeth Lex
2017	J	`jnl`	Modeling Activation Processes in Human Memory to Improve Tag Recommendations. SIGIR Forum Dominik Kowald
2017	—	`conf`	Tailoring Recommendations for a Multi-Domain Environment. RecSysKTL Emanuel Lacic, Dominik Kowald, Elisabeth Lex
2017	A*	`conf`	Temporal Effects on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach. WWW Dominik Kowald, Subhash Chandra Pujari, Elisabeth Lex
2017	J	`jnl`	Temporal Effects on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach. CoRR Dominik Kowald, Subhash Chandra Pujari, Elisabeth Lex
2017	—	`conf`	The TagRec Framework as a Toolkit for the Development of Tag-Based Recommender Systems. UMAP (Adjunct Publication) Dominik Kowald, Simone Kopeinik, Elisabeth Lex
2016	J	`jnl`	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. Patricia Santos, Elisabeth Lex, Sebastian Dennerlein, Dieter Theiler, John Cook, Tamsin Treasure-Jones, Debbie Holley, Micky Kerr, Graham Attwell, Dominik Kowald
2016	J	`jnl`	High Enough? Explaining and Predicting Traveler Satisfaction Using Airline Review. CoRR Emanuel Lacic, Dominik Kowald, Elisabeth Lex
2016	—	`conf`	High Enough?: Explaining and Predicting Traveler Satisfaction Using Airline Reviews. HT Emanuel Lacic, Dominik Kowald, Elisabeth Lex
2016	J	`jnl`	Modeling Activation Processes in Human Memory to Predict the Use of Tags in Social Bookmarking Systems. J. Web Sci. Christoph Trattner, Dominik Kowald, Paul Seitlinger, Tobias Ley, Simone Kopeinik
2016	—	`conf`	The Influence of Frequency, Recency and Semantic Context on the Reuse of Tags in Social Tagging Systems. HT Dominik Kowald, Elisabeth Lex
2016	J	`jnl`	The Influence of Frequency, Recency and Semantic Context on the Reuse of Tags in Social Tagging Systems. CoRR Dominik Kowald, Elisabeth Lex
2016	B	`conf`	Which Algorithms Suit Which Learning Environments? A Comparative Study of Recommender Systems in TEL. EC-TEL Simone Kopeinik, Dominik Kowald, Elisabeth Lex
2015	—	`conf`	Attention Please! A Hybrid Resource Recommender Mimicking Attention-Interpretation Dynamics. WWW (Companion Volume) Paul Seitlinger, Dominik Kowald, Simone Kopeinik, Ilire Hasani-Mavriqi, Elisabeth Lex, Tobias Ley
2015	J	`jnl`	Attention Please! A Hybrid Resource Recommender Mimicking Attention-Interpretation Dynamics. CoRR Paul Seitlinger, Dominik Kowald, Simone Kopeinik, Ilire Hasani-Mavriqi, Tobias Ley, Elisabeth Lex
2015	A	`conf`	Evaluating Tag Recommender Algorithms in Real-World Folksonomies: A Comparative Study. RecSys Dominik Kowald, Elisabeth Lex
2015	—	`conf`	Modeling Cognitive Processes in Social Tagging to Improve Tag Recommendations. WWW (Companion Volume) Dominik Kowald
2015	—	`conf`	Smart booking without looking: providing hotel recommendations in the TripRebel portal. I-KNOW Matthias Traub, Dominik Kowald, Emanuel Lacic, Pepijn Schoen, Gernot Supp, Elisabeth Lex
2015	—	`conf`	Tackling Cold-Start Users in Recommender Systems with Indoor Positioning Systems. RecSys Posters Emanuel Lacic, Dominik Kowald, Matthias Traub, Granit Luzhnica, Jörg Simon, Elisabeth Lex
2015	J	`jnl`	TagRec: towards a toolkit for reproducible evaluation and development of tag-based recommender algorithms. SIGWEB Newsl. Christoph Trattner, Dominik Kowald, Emanuel Lacic
2015	—	`conf`	The social semantic server: a flexible framework to support informal learning at the workplace. I-KNOW Sebastian Dennerlein, Dominik Kowald, Elisabeth Lex, Dieter Theiler, Emanuel Lacic, Tobias Ley
2014	J	`jnl`	Forgetting the Words but Remembering the Meaning: Modeling Forgetting in a Verbal and Semantic Tag Recommender. CoRR Dominik Kowald, Paul Seitlinger, Christoph Trattner, Tobias Ley
2014	—	`conf`	Long time no see: the probability of reusing tags as a function of frequency and recency. WWW (Companion Volume) Dominik Kowald, Paul Seitlinger, Christoph Trattner, Tobias Ley
2014	J	`jnl`	Recommending Items in Social Tagging Systems Using Tag and Time Information. CoRR Emanuel Lacic, Dominik Kowald, Paul Seitlinger, Christoph Trattner, Denis Parra
2014	—	`conf`	Recommending Items in Social Tagging Systems Using Tag and Time Informations. HT (Doctoral Consortium / Late-breaking Results / Workshops) Emanuel Lacic, Dominik Kowald, Paul Seitlinger, Christoph Trattner, Denis Parra
2014	J	`jnl`	SocRecM: A Scalable Social Recommender Engine for Online Marketplaces. CoRR Emanuel Lacic, Dominik Kowald, Christoph Trattner
2014	—	`conf`	SocRecM: a scalable social recommender engine for online marketplaces. HT Emanuel Lacic, Dominik Kowald, Christoph Trattner
2014	—	`conf`	TagRec: towards a standardized tag recommender benchmarking framework. HT Dominik Kowald, Emanuel Lacic, Christoph Trattner
2014	—	`conf`	Towards a scalable social recommender engine for online marketplaces: the case of apache solr. WWW (Companion Volume) Emanuel Lacic, Dominik Kowald, Denis Parra, Martin Kahr, Christoph Trattner
2014	J	`jnl`	Utilizing Online Social Network and Location-Based Data to Recommend Items in an Online Marketplace. CoRR Emanuel Lacic, Dominik Kowald, Lukas Eberhard, Christoph Trattner, Denis Parra, Leandro Balby Marinho
2013	—	`conf`	Forgetting the Words but Remembering the Meaning: Modeling Forgetting in a Verbal and Semantic Tag Recommender. MSM/MUSE Dominik Kowald, Paul Seitlinger, Simone Kopeinik, Tobias Ley, Christoph Trattner
2013	J	`jnl`	Long Time No See: The Probability of Reusing Tags as a Function of Frequency and Recency. CoRR Dominik Kowald, Paul Seitlinger, Christoph Trattner, Tobias Ley
2013	A	`conf`	Recommending tags with a model of human categorization. CIKM Paul Seitlinger, Dominik Kowald, Christoph Trattner, Tobias Ley
2013	—	`conf`	Refining Frequency-Based Tag Reuse Predictions by Means of Time and Semantic Context. MSM/MUSE Dominik Kowald, Simone Kopeinik, Paul Seitlinger, Tobias Ley, Dietrich Albert, Christoph Trattner
2013	—	`conf`	The Social Semantic Server - A Framework to Provide Services on Social Semantic Network Data. I-SEMANTICS (Posters & Demos) Dominik Kowald, Sebastian Dennerlein, Dieter Theiler, Simon Walk, Christoph Trattner
2013	—	`conf`	Utilizing Online Social Network and Location-Based Data to Recommend Products and Categories in Online Marketplaces. MSM/MUSE Emanuel Lacic, Dominik Kowald, Lukas Eberhard, Christoph Trattner, Denis Parra, Leandro Balby Marinho