Dominik Kowald

Research output

Research output per year 2013 2015 2017 2018 2019 2021 2023 2024

• 45 Conference paper
• 14 Article
• 7 Preprint
• 5 Conference article
• 13 More
  • 4 Chapter
  • 4 Paper
  • 2 Short survey
  • 1 Poster
  • 1 Abstract
  • 1 Editorial

Research output per year

Research output per year

Search results

• 2024

  The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias

  Müllner, P., Lex, E., Schedl, M. & Kowald, D., 2024, Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Proceedings. Goharian, N., Tonellotto, N., He, Y., Lipani, A., McDonald, G., Macdonald, C. & Ounis, I. (eds.). Springer Science and Business Media Deutschland GmbH, p. 466-482 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14611 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Differential Privacy 100%
  • User 75%
  • Recommendation Accuracy 50%
  • Training Data 25%
  • Recommender Systems 25%
• 2023

  A Study on Accuracy, Miscalibration, and Popularity Bias in Recommendations

  Kowald, D., Mayr, G., Schedl, M. & Lex, E., 2023, Advances in Bias and Fairness in Information Retrieval - 4th International Workshop, BIAS 2023, Revised Selected Papers. Boratto, L., Marras, M., Faralli, S. & Stilo, G. (eds.). Springer Science and Business Media Deutschland GmbH, 16 p. (Communications in Computer and Information Science; vol. 1840 CCIS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • User 100%
  • Recommendation Accuracy 40%
  • Emergence 20%
  • Recommendation Algorithm 20%

• Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendation

  Moscati, M., Wallmann, C., Reiter-Haas, M., Kowald, D., Lex, E. & Schedl, M., 14 Sept 2023, RecSys '23: Proceedings of the 17th ACM Conference on Recommender Systems. Association of Computing Machinery, p. 840-847 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  • Models 100%
  • Filtration 100%
  • Algorithm 50%
  • Performance 50%
  • Illustrates 25%

• Uptrendz: API-Centric Real-Time Recommendations in Multi-domain Settings

  Lacic, E., Duricic, T., Fadljevic, L., Theiler, D. & Kowald, D., 2023, Advances in Information Retrieval - 45th European Conference on Information Retrieval, ECIR 2023, Proceedings. Kamps, J., Goeuriot, L., Crestani, F., Maistro, M., Joho, H., Davis, B., Gurrin, C., Caputo, A. & Kruschwitz, U. (eds.). Springer Science and Business Media Deutschland GmbH, p. 255-261 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13982 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Application Domain 100%
  • Recommender Systems 100%
  • Multiple Application 100%
  • Use Case 49%
  • Underlying Data 49%
• 2022

  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

  File

  • Potential Issue 100%

• 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

  • User Interfaces 100%
  • User 100%
  • Probability 50%
  • Attack 25%
  • Mobile Device 25%
• 2021

  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

  • Leibler Divergence 100%

• My friends also prefer diverse music: homophily and link prediction with user preferences for mainstream, novelty, and diversity in music

  Duricic, T., Kowald, D., Schedl, M. & Lex, E., 8 Nov 2021, Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2021. Coscia, M., Cuzzocrea, A. & Shu, K. (eds.). p. 447-454 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper

  File

  • Friendship 100%
  • Taste 66%
  • Common Neighbor 28%

• Position Paper on Simulating Privacy Dynamics in Recommender Systems

  Müllner, P., Lex, E. & Kowald, D., 14 Sept 2021, (Accepted/In press) Workshop on Simulation Methods for Recommender Systems at ACM RecSys 2021.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper

  File

  • Dynamic Privacy 100%
  • Privacy Preference 57%
  • Differential Privacy 14%

• Robustness of Meta Matrix Factorization Against Strict Privacy Constraints

  Muellner, P., Kowald, D. & Lex, E., 2021, Advances in Information Retrieval: 43rd European Conference on IR Research, ECIR 2021, Proceedings. Hiemstra, D., Moens, M-F., Mothe, J., Perego, R., Potthast, M. & Sebastiani, F. (eds.). Cham: Springer Science and Business Media Deutschland GmbH, Vol. 2. p. 107-119 13 p. (Lecture Notes in Computer Science; vol. 12657 ).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Learning 100%
• 2020

  Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering

  Duricic, T., Hussain, H., Lacic, E., Kowald, D., Helic, D. & Lex, E., 1 Jan 2020, Foundations of Intelligent Systems - 25th International Symposium, ISMIS 2020, Proceedings. Helic, D., Stettinger, M., Felfernig, A., Leitner, G. & Ras, Z. W. (eds.). Springer Science and Business Media Deutschland GmbH, p. 181-191 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12117 LNAI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Information Network 100%
  • User Representation 100%

• Slow is Good: The Effect of Diligence on Student Performance in the Case of an Adaptive Learning System for Health Literacy

  Fjadljevic, L., Kowald, D., Maitz, K., Pammer-Schindler, V. & Klicpera-Gasteiger, B., 23 Mar 2020, LAK 2020 Conference Proceedings - Celebrating 10 years of LAK: Shaping the Future of the Field - 10th International Conference on Learning Analytics and Knowledge. p. 112-117 6 p. (ACM International Conference Proceeding Series).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Reading 100%
  • Health Literacy 100%
  • Temporal Behavior 100%
  • Support Student 33%
  • Acquisition 20%

• The unfairness of popularity bias in music recommendation: A reproducibility study

  Kowald, D., Schedl, M. & Lex, E., 1 Jan 2020, Advances in Information Retrieval - 42nd European Conference on IR Research, ECIR 2020, Proceedings. Jose, J. M., Yilmaz, E., Magalhães, J., Martins, F., Castells, P., Ferro, N. & Silva, M. J. (eds.). Springer, p. 35-42 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12036 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  • Music Recommendation 100%
  • Unfairness 100%
  • Films 28%
  • Popular Music 25%
  • favour 14%

• Utilizing Human Memory Processes to Model Genre Preferences for Personalized Music Recommendations

  Kowald, D., Lex, E. & Schedl, M., 24 Mar 2020, (Accepted/In press) Proceedings of the 25th International Conference on Intelligent User Interfaces. New York, NY: Association of Computing Machinery, 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper

  • Memory Process 100%
  • Information Unit 33%
  • Usage Frequency 33%
  • Access Information 33%
• 2019

  A Real-Life School Study of Confirmation Bias and Polarisation in Information Behaviour

  Kopeinik, S., Lex, E., Kowald, D., Albert, D. & Seitlinger, P., 1 Jan 2019, Transforming Learning with Meaningful Technologies - 14th European Conference on Technology Enhanced Learning, EC-TEL 2019, Proceedings. Scheffel, M., Broisin, J., Pammer-Schindler, V., Ioannou, A. & Schneider, J. (eds.). Springer-Verlag Italia, p. 409-422 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11722 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Information Service 100%
  • Critical Process 50%
  • Social Networking Site 50%

• Evaluating Tag Recommendations for E-Book Annotation Using a Semantic Similarity Metrik

  Kowald, D., Lacic, E., Theiler, D., Traub, M., Kuffer, L., Lindstaedt, S. & Lex, E., 2019, REVEAL Workshop co-located with RecSys'2019. Kopenhagen, Denmark

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Semantics 100%
  • Annotation 100%
  • Tag Recommendation 100%
  • User 50%
  • Vocabulary 33%

• The impact of time on hashtag reuse in twitter: A cognitive-inspired hashtag recommendation approach

  Lex, E. & Kowald, D., 1 Jan 2019, INFORMATIK 2019: 50 Jahre Gesellschaft fur Informatik - Informatik fur Gesellschaft Konferenzbeitrage der 49. Jahrestagung der Gesellschaft fur Informatik. David, K., Geihs, K., Lange, M. & Stumme, G. (eds.). Gesellschaft fur Informatik (GI), p. 285-286 2 p. (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI); vol. 294).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Power-Law Distribution 100%

• Using the Open Meta Kaggle Dataset to Evaluate Tripartite Recommendations in Data Markets

  Kowald, D., Traub, M., Theiler, D., Gursch, H., Lacic, E., Lindstaedt, S., Kern, R. & Lex, E., 2019, REVEAL Workshop co-located with RecSys'2019.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • User 100%
  • Service 100%
  • Use Case 75%
  • Recommender Systems 50%
  • Recommendation Accuracy 50%
• 2018

  AFEL - Analytics for Everyday Learning

  D'Aquin, M., Kowald, D., Fessl, A., Lex, E. & Thalmann, S., 23 Apr 2018, The Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018. Association of Computing Machinery, p. 439-440 2 p. (The Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  • Collective Learning 100%
  • Educational Data Mining 50%

• The Impact of Semantic Context Cues on the User Acceptance of Tag Recommendations: An Online Study

  Kowald, D., Seitlinger, P., Ley, T. & Lex, E., 6 Mar 2018, Companion Proceedings to the Web Conference 2018. p. 1-2

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Collaborative Tagging 100%

• Trust-based collaborative filtering: Tackling the cold start problem using regular equivalence

  Duricic, T., Kowald, D., Lacic, E. & Lex, E., 27 Sept 2018, RecSys 2018 - 12th ACM Conference on Recommender Systems. Association of Computing Machinery, p. 446-450 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Cold Start Problem 100%
  • Recommendation Accuracy 14%
  • Popular Approach 14%
  • Small Fraction 14%
  • Trust Relationship 14%
• 2017

  AFEL: Towards Measuring Online Activities Contributions to Self-Directed Learning

  d’Aquin, M., Adamou, A., Dietze, S., Fetahu, B., Gadiraju, U., Hasani-Mavriqi, I., Holtz, P., Kimmerle, J., Kowald, D., Lex, E., L´opez Sola, S., Maturana, R. A., Sabol, V., Troullinou, P. & Veas, E. E., 2017, CEUR Workshop Proceedings. (CEUR Workshop Proceedings; vol. 1997).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Online Activity 100%
  • Fitness 33%
  • Ethics 33%

• Overcoming the Imbalance Between Tag Recommendation Approaches and Real-World Folksonomy Structures with Cognitive-Inspired Algorithm

  Kowald, D. & Lex, E., 2017, European Symposium on Computational Social Sciences.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• Tailoring Recommendations for a Multi-Domain Environment

  Lacic, E., Lex, E. & Kowald, D., 2017, ACM International Conference on Recommender Systems 2017.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• Temporal Effects on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach: A cognitive-inspired hashtag recommendation approach

  Pujari, S. C., Lex, E. & Kowald, D., 2017, 26th International World Wide Web Conference, WWW 2017. International World Wide Web Conferences Steering Committee, p. 1401-1410 10 p. 3052605

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Cognitive Architecture 100%

• The TagRec framework as a toolkit for the development of tag-based recommender systems

  Kowald, D., Kopeinik, S. & Lex, E., 9 Jul 2017, UMAP 2017 - Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization. Association of Computing Machinery, p. 23-28 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Hashtag 100%
  • Tag Recommendation 100%
  • Information Space 100%
• 2016

  High Enough? Explaining and Predicting Traveler Satisfaction Using Airline Reviews

  Kowald, D., Lacic, E. & Lex, E., 2016, Proceedings of the 27th ACM Conference on Hypertext and Social Media.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• Need Help? Recommending Social Care Institutions

  Traub, M., Lacic, E., Kowald, D., Kahr, M. & Lex, E., 2016, Workshop on Recommender Systems and Big Data Analytics co-located with i-know 2016 conference.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• The Influence of Frequency, Recency and Semantic Context on the Reuse of Tags in Social Tagging Systems

  Kowald, D. & Lex, E., 2016, Proceedings of the 27th ACM Conference on Hypertext and Social Media.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• Which Algorithms Suit Which Learning Environments? A Comparative Study of Recommender Systems in TEL.

  Kopeinik, S., Kowald, D. & Lex, E., Sept 2016, Adaptive and Adaptable Learning: 11th European Conference on Technology Enhanced Learning. Springer Verlag, Vol. 9891. p. 124-138 14 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
• 2015

  Attention Please! A Hybrid Resource Recommender Mimicking Attention-Interpretation Dynamics

  Seitlinger, P. C., Kowald, D., Kopeinik, S., Hasani-Mavriqi, I., Ley, T. & Lex, E., 2015, Proceedings of 24th International World Wide Web Conference WWW’15. ., p. 339-345

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• Evaluating Tag Recommender Algorithms in Real-World Folksonomies: A Comparative Study

  Kowald, D. & Lex, E., 2015, Proceedings of RecSys'15. New York: Association of Computing Machinery, p. 505-509

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  File

• Modeling Cognitive Processes in Social Tagging to Improve Tag Recommendations

  Kowald, D., 2015, Proceedings of WWW'15. New York: Association of Computing Machinery, p. 505-509

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  File

• ScaR: Towards a Real-Time Recommender Framework Following the Microservices Architecture

  Lacic, E., Traub, M., Kowald, D. & Lex, E., 2015, Proceedings of the Workshop on Large Scale Recommender Systems (LSRS2015) at RecSys 2015. ., p. ---

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  File

• Smart Booking Without Looking: Providing Hotel Recommendations in the TripRebel Portal

  Traub, M., Kowald, D., Lacic, E., Schoen, P., Supp, G. & Lex, E., 2015, Proceedings of the i-KNOW 2015 Conference. ., p. 50:1-50:4

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• Tackling Cold-Start Users in Recommender Systems with Indoor Positioning Systems

  Lacic, E., Kowald, D., Traub, M., Luzhnica, G., Simon, J. P. & Lex, E., 2015, Poster Proceedings of the 9th {ACM} Conference on Recommender Systems. New York, NY, USA: Association of Computing Machinery, p. ---

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  File

• The Social Semantic Server: A Flexible Framework to Support Informal Learning at the Workplace

  Dennerlein, S. M., Kowald, D., Lex, E., Theiler, D., Lacic, E. & Ley, T. T., 2015, Proceedings of the 15th International Conference on Knowledge Management and Knowledge Technologies (i-Know '15). ., p. 0-1

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
• 2014

  Long time no see: the probability of reusing tags as a function of frequency and recency

  Kowald, D., Seitlinger, P. C., Trattner, C. & Ley, T., 2014, WWW Companion '14 Proceedings of the companion publication of the 23rd international conference on World wide web companion. New York: ., p. 463-468

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  File

• Recommending Items in Social Tagging Systems Using Tag and Time Information

  Lacic, E., Kowald, D., Seitlinger, P. C., Trattner, C. & Parra, D., 2014, In Proceedings of the 1st Social Personalization Workshop co-located with the 25th ACM Conference on Hypertext and Social Media. New York, NY, USA: Association of Computing Machinery, p. 4-9

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  File

• SocRecM: A Scalable Social Recommender Engine for Online Marketplaces

  Lacic, E., Kowald, D. & Trattner, C., 2014, In Proceedings of the 25th ACM Conference on Hypertext and Social Media. New York, NY, USA: Association of Computing Machinery, p. ---

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  File

• TagRec: Towards A Standardized Tag Recommender Benchmarking Framework

  Kowald, D., Lacic, E. & Trattner, C., 2014, In Proceedings of the 25th ACM Conference on Hypertext and Social Media. New York, NY, USA: Association of Computing Machinery, p. ---

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  File

• Towards a Scalable Social Recommender Engine for Online Marketplaces: The Case of Apache Solr

  Lacic, E., Kowald, D., Parra, D., Kahr, M. & Trattner, C., 2014, Proceedings of the Companion Publication of the 23rd International Conference on World Wide Web Companion. New York: ., p. 817-822

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  File
• 2013

  Recommending Tags with a Model of Human Categorization

  Seitlinger, P. C., Kowald, D., Trattner, C. & Ley, T., 2013, Proceedings of ACM International Conference on Information and Knowledge Management (CIKM 2013). ., p. 2381-2386

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• The Social Semantic Server A Framework to Provide Services on Social Semantic Network Data

  Kowald, D., Dennerlein, S. M., Theiler, D., Walk, S. & Trattner, C., 2013, Proceedings of the I-SEMANTICS 2013 Posters & Demonstrations Track co-located with 9th International Conference on Semantic Systems (I-SEMANTICS 2013). ., p. 50-54

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review