Team


Recommender Systems

Beyond Accuracy Measurements

Generative AI

News Recommendations

Thomas Kolb

Predoc Researcher

Thomas Kolb conducting research as part of his Ph.D. on the subject of long-term dynamics of bias and fairness in cross-domain recommender Systems. To analyze these dynamics in a real-world environment we work together with a company within the domain of news, books, and lifestyle. The exploration of long-term dynamics in this field has immense potential for the development of fairer recommender systems. He firmly believes in the significance of providing the research community with fresh insights to foster the creation of responsible and fair recommender systems.

Activities & Talks

Supervisions

Master Theses

  • COVID-19 and Populism in Austrian News User Comments – A Machine Learning Approach / Wagne, A. (2023). COVID-19 and Populism in Austrian News User Comments – A Machine Learning Approach [Diploma Thesis, Technische Universität Wien]. reposiTUm. 
    https://doi.org/10.34726/hss.2023.105940
  • Exploring Group Fairness in News Media Recommendations: Algorithms, Metrics, and Grouping / Huebner, B. (2023). Exploring Group Fairness in News Media Recommendations: Algorithms, Metrics, and Grouping [Diploma Thesis, Technische Universität Wien]. reposiTUm. 
    https://doi.org/10.34726/hss.2023.107255

Bachelor Theses

  • Stimmungsanalyse von geclusterten COVID-19 Artikel zum Thema Maskenpflicht: Ein Vergleich mit User-Kommentaren / Burtscher, L. (2023)
  • Content-Based Restaurant Recommendation Systems Using Textual and Visual Data / Godolja, D. (2023)
  • K-Means Clustering of Fashion Behavior: A Language-Focused Approach / Dedov, F. (2022)

Voluntary Engagement

Publications

2023

Kolb, Thomas Elmar; Nalis-Neuner, Irina; Neidhardt, Julia

Like a Skilled DJ – an Expert Study on News Recommendations Beyond Accuracy Proceedings Article

In: Kille, Benjamin (Ed.): CEUR-WS.org, 2023.

Abstract | Links | BibTeX

Kolb, Thomas Elmar; Wagne, Ahmadou; Sertkan, Mete; Neidhardt, Julia

Potentials of Combining Local Knowledge and LLMs for Recommender Systems Proceedings Article

In: Anelli, Vito Walter; Basile, Pierpaolo; Melo, Gerard De; Donini, Francesco; Ferrara, Antonio; Musto, Cataldo; Narducci, Fedelucio; Ragone, Azzurra; Zanker, Markus (Ed.): pp. 61–64, CEUR-WS.org, 2023.

Abstract | Links | BibTeX

2022

Kolb, Thomas; Sekanina, Katharina; Kern, Bettina Manuela Johanna; Neidhardt, Julia; Wissik, Tanja; Baumann, Andreas

The ALPIN Sentiment Dictionary: Austrian Language Polarity in Newspapers Proceedings Article

In: pp. 4708–4716, European Language Resources Association, Marseille, France, 2022.

Abstract | Links | BibTeX

Kolb, Thomas Elmar; Nalis, Irina; Sertkan, Mete; Neidhardt, Julia

The Role of Bias in News Recommendation in the Perception of the Covid-19 Pandemic Proceedings Article

In: Thomas, Kolb (Ed.): 2022.

Abstract | Links | BibTeX

Kolb, Thomas Elmar

Dynamic sentiment analysis for measuring media bias Masters Thesis

Technische Universität Wien, Wien, 2022.

Abstract | Links | BibTeX

2021

Kern, Bettina; Baumann, Andreas; Kolb, Thomas; Sekanina, Katharina; Hofmann, Klaus; Wissik, Tanja; Neidhardt, Julia

A review and cluster analysis of German polarity resources for sentiment analysis Proceedings Article

In: 3rd Conference on Language, Data and Knowledge (LDK 2021), pp. 1–17, OASICS, 93, 2021, ISBN: 978-3-95977-199-3.

Links | BibTeX

Kolb, Thomas Elmar; Sekanina, Katharina; Kern, Bettina Manuela Johanna; Neidhardt, Julia; Baumann, Andreas; Wissik, Tanja

Creating an Austrian language polarity dictionary with the crowd Miscellaneous

2021.

BibTeX