News
Stay updated on our lab’s latest activities and projects through our news section featuring insightful blogs.
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Analysis of the Performance of a Conversational Recommender System in Online Fashion E-Commerce
Supervisor: Julia Neidhardt, Co-Supervisor: Gwendolyn Rippberger
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Analysing Dynamics Over Time of Bias in Recommender Systems
Author: Boris Staykov Supervisor: Julia Neidhardt, Co-Supervisor: Thomas E. Kolb Abstract Recommender systems play a pivotal role in personalizing user experiences across various domains such as e-commerce, news, and entertainment platforms. However, the presence of bias within these systems poses significant challenges, potentially leading to unfair treatment of users. This thesis addresses the critical issue…
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Automated Fine-Grained Location Tagging in Online News
Supervisor: Julia Neidhardt, Co-Supervisor: Thomas E. Kolb