Ahmadou Wagne
Dipl.-Ing.
Role
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PreDoc Researcher
Data Science, E194-04
Publications
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Conversational Recommender Systems Using Generative Models (Gen-CRS): A Literature Review
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Wagne, A., Kolb, T., Banerjee, A., Nazary, F., Neidhardt, J., & Deldjoo, Y. (2026). Conversational Recommender Systems Using Generative Models (Gen-CRS): A Literature Review. ACM Transactions on Recommender Systems, 1–50. https://doi.org/10.1145/3828551
Project: CDL-RecSys (2022–2028) -
Investigating Preference Elicitation Strategies in Conversational Recommender Systems
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Wagne, A. (2026). Investigating Preference Elicitation Strategies in Conversational Recommender Systems. In UMAP ’26: Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization (pp. 619–622). https://doi.org/10.1145/3774935.3803059
Project: CDL-RecSys (2022–2028) -
Prompt to Press: Evaluating Human Perception of AI Involvement in News Writing Across Prompt Specificity
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Sergaš, U., Wagne, A., Kolb, T. E., Neidhardt, J., Ferwerda, B., & Tkalcic, M. (2026). Prompt to Press: Evaluating Human Perception of AI Involvement in News Writing Across Prompt Specificity. In IUI ’26 Companion: Companion Proceedings of the 31st International Conference on Intelligent User Interfaces (pp. 89–92). Association for Computing Machinery. https://doi.org/10.1145/3742414.3795097
Project: CDL-RecSys (2022–2028) -
A Tutorial on Recent Advances in Generative Conversational Recommender Systems
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Kolb, T. E., Wagne, A., Banerjee, A., Nazary, F., Neidhardt, J., Deldjoo, Y., & Di Noia, T. (2025). A Tutorial on Recent Advances in Generative Conversational Recommender Systems. In RecSys ’25: Proceedings of the Nineteenth ACM Conference on Recommender Systems (pp. 1420–1422). Association for Computing Machinery. https://doi.org/10.1145/3705328.3748010
Project: CDL-RecSys (2022–2028) -
LLM4Good: The 1st Workshop on Sustainable and Trustworthy Large Language Models for Personalization
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Kolb, T. E., Banerjee, A., Wagne, A., Neidhardt, J., & Deldjoo, Y. (2025). LLM4Good: The 1st Workshop on Sustainable and Trustworthy Large Language Models for Personalization. In UMAP Adjunct ’25: Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization (pp. 385–387). Association for Computing Machinery. https://doi.org/10.1145/3708319.3727560
Project: CDL-RecSys (2022–2028) -
What to compare? Towards understanding user sessions on price comparison platforms
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Wagne, A., & Neidhardt, J. (2024). What to compare? Towards understanding user sessions on price comparison platforms. In T. Di Noia, P. Lops, T. Joachims, katrien verbert, P. Castells, Z. Dong, & B. London (Eds.), RecSys ’24: Proceedings of the 18th ACM Conference on Recommender Systems (pp. 1158–1162). Association for Computing Machinery. https://doi.org/10.1145/3640457.3691717
Project: CDL-RecSys (2022–2028) -
PopAut: An Annotated Corpus for Populism Detection in Austrian News Comments
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Wagne, A., Neidhardt, J., & Kolb, T. E. (2024). PopAut: An Annotated Corpus for Populism Detection in Austrian News Comments. In N. Calzolari, M.-Y. Kan, V. Hoste, A. LENCI, S. Sakti, & N. Xue (Eds.), The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024): Main Conference Proceedings (pp. 12879–12892). ELRA Language Resources Association (ELRA). http://hdl.handle.net/20.500.12708/199247
Download: PDF (902 KB)
Project: CDL-RecSys (2022–2028) -
Can We Integrate Items into Models? Knowledge Editing to Align LLMs with Product Catalogs
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Wagne, A., & Neidhardt, J. (2024). Can We Integrate Items into Models? Knowledge Editing to Align LLMs with Product Catalogs. In V. W. Anelli, P. Basile, & T. Di Noia (Eds.), Proceedings of the Sixth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 18th ACM Conference on Recommender Systems (RecSys 2024). https://doi.org/10.34726/8229
Download: Can We Integrate Items into Models? Knowledge Editing to Align LLMs with Product Catalogs (356 KB)
Project: CDL-RecSys (2022–2028) - Populism detection / Wagne, A. (2023, December 8). Populism detection [Presentation]. Workshop: Österreichisches Treffen zu Sentimentinferenz (ÖTSI) Österreichische Linguistik-Tagung 2023, Graz, Austria. http://hdl.handle.net/20.500.12708/193599
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Potentials of Combining Local Knowledge and LLMs for Recommender Systems
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Kolb, T. E., Wagne, A., Sertkan, M., & Neidhardt, J. (2023). Potentials of Combining Local Knowledge and LLMs for Recommender Systems. In V. W. Anelli, P. Basile, G. De Melo, F. Donini, A. Ferrara, C. Musto, F. Narducci, A. Ragone, & M. Zanker (Eds.), Proceedings of the Fifth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 17th ACM Conference on Recommender Systems (RecSys 2023) (pp. 61–64). CEUR-WS.org. https://doi.org/10.34726/5334
Download: PDF (317 KB)
Project: CDL-RecSys (2022–2028) - Hands-on Session ChatGPT / Wagne, A. (2023, September 5). Hands-on Session ChatGPT [Presentation]. 2nd ACM Digital Humanism Summer School, TU Wien, Austria. http://hdl.handle.net/20.500.12708/193662
- Populism Detection / Wagne, A. (2023, January 25). Populism Detection [Presentation]. ÖAW AI Winter School 2023, Wien, Austria.
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COVID-19 and populism in Austrian news user comments - A machine learning approach
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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
Download: PDF (1.84 MB)
Supervisions
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The impact of using large language models on the performance of recommender systems
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Schmiedmayer, M. (2026). The impact of using large language models on the performance of recommender systems [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.118745
Download: PDF (2.04 MB) -
Exploration of intermediate fusion strategies : between graph and text modalities in session-based recommender systems
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Grebnev, R. (2025). Exploration of intermediate fusion strategies : between graph and text modalities in session-based recommender systems [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.122629
Download: PDF (2.43 MB)