Dominik Kowald
Orcid: 0000-0003-3230-6234Affiliations:
- Graz University of Technology, Austria
According to our database1,
Dominik Kowald
authored at least 80 papers
between 2013 and 2024.
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Bibliography
2024
Black Box or Open Science? Assessing Reproducibility-Related Documentation in AI Research.
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024
Proceedings of the Advances in Information Retrieval, 2024
2023
ACM Trans. Intell. Syst. Technol., October, 2023
Take the aTrain. Introducing an Interface for the Accessible Transcription of Interviews.
CoRR, 2023
Beyond-Accuracy: A Review on Diversity, Serendipity and Fairness in Recommender Systems Based on Graph Neural Networks.
CoRR, 2023
CoRR, 2023
Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
Proceedings of the Advances in Information Retrieval, 2023
Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2023
2022
Long-term dynamics of fairness: understanding the impact of data-driven targeted help on job seekers.
CoRR, 2022
Recommendations in a Multi-Domain Setting: Adapting for Customization, Scalability and Real-Time Performance.
CoRR, 2022
What Drives Readership? An Online Study on User Interface Types and Popularity Bias Mitigation in News Article Recommendations.
Proceedings of the Advances in Information Retrieval, 2022
Proceedings of the 1st International Workshop on Data Economy, 2022
Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2022
2021
EPJ Data Sci., 2021
Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected?
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021
Proceedings of the Advances in Information Retrieval, 2021
My friends also prefer diverse music: homophily and link prediction with user preferences for mainstream, novelty, and diversity in music.
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021
2020
User Model. User Adapt. Interact., 2020
Trans. Int. Soc. Music. Inf. Retr., 2020
Listener Modeling and Context-Aware Music Recommendation Based on Country Archetypes.
Frontiers Artif. Intell., 2020
Utilizing Human Memory Processes to Model Genre Preferences for Personalized Music Recommendations.
CoRR, 2020
Slow is good: the effect of diligence on student performance in the case of an adaptive learning system for health literacy.
Proceedings of the LAK '20: 10th International Conference on Learning Analytics and Knowledge, 2020
Proceedings of the Foundations of Intelligent Systems - 25th International Symposium, 2020
Proceedings of the Advances in Information Retrieval, 2020
2019
An Infrastructure for Workplace Learning Analytics: Tracing Knowledge Creation with the Social Semantic Server.
J. Learn. Anal., July, 2019
Evaluating Tag Recommendations for E-Book Annotation Using a Semantic Similarity Metric.
CoRR, 2019
Using the Open Meta Kaggle Dataset to Evaluate Tripartite Recommendations in Data Markets.
CoRR, 2019
CoRR, 2019
Modeling Artist Preferences of Users with Different Music Consumption Patterns for Fair Music Recommendations.
CoRR, 2019
The Impact of Time on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach.
Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik, 2019
A Real-Life School Study of Confirmation Bias and Polarisation in Information Behaviour.
Proceedings of the Transforming Learning with Meaningful Technologies, 2019
2018
Balancing the Fluency-Consistency Tradeoff in Collaborative Information Search with a Recommender Approach.
Int. J. Hum. Comput. Interact., 2018
Overcoming the Imbalance Between Tag Recommendation Approaches and Real-World Folksonomy Structures with Cognitive-Inspired Algorithms.
CoRR, 2018
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018
The Impact of Semantic Context Cues on the User Acceptance of Tag Recommendations: An Online Study.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018
Trust-based collaborative filtering: tackling the cold start problem using regular equivalence.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018
Analytics for Everyday Learning from two Perspectives: Knowledge Workers and Teachers.
Proceedings of the 1st Workshop on Analytics for Everyday Learning co-located with 13th European Conference on Technology Enhanced Learning (EC-TEL 2018), 2018
Proceedings of the Joint Proceedings of the 1st Co-Creation in the Design, 2018
Neighborhood Troubles: On the Value of User Pre-Filtering To Speed Up and Enhance Recommendations.
Proceedings of the CIKM 2018 Workshops co-located with 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), 2018
AFEL-REC: A Recommender System for Providing Learning Resource Recommendations in Social Learning Environments.
Proceedings of the CIKM 2018 Workshops co-located with 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), 2018
2017
SIGIR Forum, 2017
Improving Collaborative Filtering Using a Cognitive Model of Human Category Learning.
J. Web Sci., 2017
Beyond Accuracy Optimization: On the Value of Item Embeddings for Student Job Recommendations.
CoRR, 2017
Temporal Effects on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach.
Proceedings of the 26th International Conference on World Wide Web, 2017
The TagRec Framework as a Toolkit for the Development of Tag-Based Recommender Systems.
Proceedings of the Adjunct Publication of the 25th Conference on User Modeling, 2017
Proceedings of the 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning co-located with ACM Conference on Recommender Systems (RecSys 2017), 2017
Proceedings of the 7th Workshop on Awareness and Reflection in Technology Enhanced Learning co-located with the 12th European Conference on Technology Enhanced Learning (EC-TEL 2017), 2017
2016
Modeling Activation Processes in Human Memory to Predict the Use of Tags in Social Bookmarking Systems.
J. Web Sci., 2016
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., 2016
CoRR, 2016
Proceedings of the 27th ACM Conference on Hypertext and Social Media, 2016
The Influence of Frequency, Recency and Semantic Context on the Reuse of Tags in Social Tagging Systems.
Proceedings of the 27th ACM Conference on Hypertext and Social Media, 2016
Which Algorithms Suit Which Learning Environments? A Comparative Study of Recommender Systems in TEL.
Proceedings of the Adaptive and Adaptable Learning, 2016
2015
TagRec: towards a toolkit for reproducible evaluation and development of tag-based recommender algorithms.
SIGWEB Newsl., 2015
Attention Please! A Hybrid Resource Recommender Mimicking Attention-Interpretation Dynamics.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015
Proceedings of the 24th International Conference on World Wide Web Companion, 2015
Proceedings of the Poster Proceedings of the 9th ACM Conference on Recommender Systems, 2015
Evaluating Tag Recommender Algorithms in Real-World Folksonomies: A Comparative Study.
Proceedings of the 9th ACM Conference on Recommender Systems, 2015
Smart booking without looking: providing hotel recommendations in the TripRebel portal.
Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business, 2015
The social semantic server: a flexible framework to support informal learning at the workplace.
Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business, 2015
2014
CoRR, 2014
Utilizing Online Social Network and Location-Based Data to Recommend Items in an Online Marketplace.
CoRR, 2014
Forgetting the Words but Remembering the Meaning: Modeling Forgetting in a Verbal and Semantic Tag Recommender.
CoRR, 2014
Towards a scalable social recommender engine for online marketplaces: the case of apache solr.
Proceedings of the 23rd International World Wide Web Conference, 2014
Long time no see: the probability of reusing tags as a function of frequency and recency.
Proceedings of the 23rd International World Wide Web Conference, 2014
Proceedings of the 25th ACM Conference on Hypertext and Social Media, 2014
Proceedings of the Hypertext 2014 Extended Proceedings: Late-breaking Results, 2014
Proceedings of the 25th ACM Conference on Hypertext and Social Media, 2014
2013
Utilizing Online Social Network and Location-Based Data to Recommend Products and Categories in Online Marketplaces.
Proceedings of the Mining, Modeling, and Recommending 'Things' in Social Media, 2013
Forgetting the Words but Remembering the Meaning: Modeling Forgetting in a Verbal and Semantic Tag Recommender.
Proceedings of the Mining, Modeling, and Recommending 'Things' in Social Media, 2013
Refining Frequency-Based Tag Reuse Predictions by Means of Time and Semantic Context.
Proceedings of the Mining, Modeling, and Recommending 'Things' in Social Media, 2013
The Social Semantic Server - A Framework to Provide Services on Social Semantic Network Data.
Proceedings of the I-SEMANTICS 2013 Posters & Demonstrations Track, 2013
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013