Thomas E. Kolb

Orcid: 0000-0002-2340-0854

According to our database1, Thomas E. Kolb authored at least 10 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Classifying User Roles in Online News Forums: A Model for User Interaction and Behavior Analysis.
Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 2024

Navigating Serendipity - An Experimental User Study On The Interplay of Trust and Serendipity In Recommender Systems.
Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 2024

Evaluating Group Fairness in News Recommendations: A Comparative Study of Algorithms and Metrics.
Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 2024

Enhancing Cross-Domain Recommender Systems with LLMs: Evaluating Bias and Beyond-Accuracy Measures.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

PopAut: An Annotated Corpus for Populism Detection in Austrian News Comments.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Potentials of Combining Local Knowledge and LLMs for Recommender Systems.
Proceedings of the Fifth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

Like a Skilled DJ - an Expert Study on News Recommendations Beyond Accuracy.
Proceedings of the International Workshop on News Recommendation and Analytics co-located with the 2023 ACM Conference on Recommender Systems (RecSys 2023), 2023

2022
The Role of Bias in News Recommendation in the Perception of the Covid-19 Pandemic.
CoRR, 2022

The ALPIN Sentiment Dictionary: Austrian Language Polarity in Newspapers.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

2021
A Review and Cluster Analysis of German Polarity Resources for Sentiment Analysis.
Proceedings of the 3rd Conference on Language, Data and Knowledge, 2021


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