Questions? Drop us a message at: rsss2025[ät]ds-ifs.tuwien.ac.at
Organizers
The ACM RecSys Summer School 2025 is organized by the CD Laboratory for Recommender Systems of TU Wien.
Thomas E. Kolb, TU Wien, Austria
Thomas E. Kolb
Organizer, TU Wien, CDL-RecSys
Thomas E. Kolb is a 3rd year PhD student and project assistant at TU Wien, specializing in the long-term dynamics of bias and fairness in cross-domain recommender systems. His research, conducted in collaboration with industry partners in the news, books, and lifestyle domains, explores the evolution of algorithmic bias over time and its implications for fairness. His work advances the understanding of fairness-aware recommendations, aiming to provide actionable insights for academia and industry.
Julia Neidhardt, TU Wien, Austria
Julia Neidhardt
Co-Chair and Organizer, TU Wien, CDL-RecSys
Julia Neidhardt is a tenure-track Assistant Professor at TU Wien with a background in mathematics and computer science. Her research covers user modeling, recommender systems, social networks, and online behavior, with over 80 publications. She is a senior program committee member of ACM UMAP and ACM RecSys and associate editor of the Journal of Information Technology & Tourism. She has co-chaired research tracks at ACM UMAP 2023, ENTER e-Tourism 2020, and ENTER 2019 and co-organized various academic events.
Since 2022, she has led the Christian Doppler Laboratory on Recommender Systems at TU Wien, focusing on using LLMs to improve recommender systems. In 2023, she was appointed UNESCO Co-Chair of Digital Humanism at TU Wien, working on AI technologies’ responsible and ethical use.
Gwendolyn Rippberger, TU Wien, Austria
Gwendolyn Rippberger
Organizer, TU Wien, CDL-RecSys
Gwendolyn completed her bachelor in Media Informatics and Visual Computing at TU Wien, where she discovered a passion for combining technology with creative design. Now, she’s dedicating herself to her Master’s thesis, focusing on a comparative analysis of image captioning models for fashion datasets and exploring multimodal settings in fashion recommendations. This endeavor immerses her in the world of large multimodal models.
Beyond her academic pursuits, Gwendolyn has a keen interest in web development and UI/UX design. She’s always eager to learn about new trends and technologies that can make digital experiences more intuitive and visually engaging. Her educational background and ongoing research have given her a unique perspective on how digital tools can enhance user interactions and engagement in everyday life.
She’s excited by the potential of technology, especially in the fashion industry, and is always on the lookout for opportunities to apply her knowledge in practical and meaningful ways. Whether it’s improving website usability or delving into the latest AI advancements, Gwendolyn is committed to exploring how technology can make our lives better and more stylish.
Ahmadou Wagne, TU Wien, Austria
Ahmadou Wagne
Organizer, TU Wien, CDL-RecSys
Ahmadou Wagne is a PhD student and project assistant at TU Wien, Austria. He holds a Master’s degree in Data Science from TU Wien. His research focuses on preference elicitation in conversational recommender systems, investigating the potential of LLMs in that process, especially in e-commerce. His research is dedicated to better understanding users’ preferences and facilitating their decision-making process. Beyond this, his academic interests extend to natural-language processing and computational social science.