
About
Julia Neidhardt is a faculty member at TU Wien's Research Area E-Commerce, focusing on recommender systems, machine learning, and digital humanism. Her work explores diversity-aware algorithms, sentiment analysis, and tourism recommendation systems.
- University: TU Wien (Vienna University of Technology)
- Department: Research Area E-Commerce
Her research integrates machine learning, sentiment analysis, and diversity metrics to address bias in news recommendation systems, tourism profiling, and semantic network dynamics. Recent publications highlight collaborations on LLMs, meta-analysis, and emotion detection.
Julia co-organizes the Recommenders in Tourism (RecTour) workshop series and contributes to theses in areas like group fairness, museum visitor path prediction, and accommodation recommendations.
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