Preference Elicitation

User Modeling

Multi-Domain Recommender Systems


Generative AI

Ahmadou Wagne

PreDoc Researcher

Ahmadou Wagne is a PhD student and project assistant at TU Wien, Austria. He holds a Bachelor’s degree in Information Science and General and Comparative Linguistics from the University of Regensburg, Germany, and a Master’s degree in Data Science from TU Wien.

His research focuses on preference elicitation in multi-domain recommender systems with a conversational approach, especially in E-Commerce. This research is dedicated to better understanding a user’s preferences and facilitating their decision-making process. Beyond this, his academic interests extend to the fields of natural-language-processing and computational social science.

Activities & Talks



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,, 2023.

Abstract | Links | BibTeX

Wagne, Ahmadou

COVID-19 and populism in Austrian news user comments – A machine learning approach Masters Thesis

Technische Universität Wien, Wien, 2023.

Abstract | Links | BibTeX