News
Stay updated on our lab’s latest activities and projects through our news section featuring insightful blogs.
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Content-Based Restaurant Recommendation Systems Using Textual and Visual Data
Author: Dante Godolja Supervisor: Julia Neidhardt, Co-Supervisor: Thomas E. Kolb Abstract Content-based restaurant recommender systems use features such as cuisine type, price range, and location to suggest dining options to users. By analyzing the content of restaurants, these systems can generate recommendations. Current research explores ways to improve their effectiveness. In this thesis we explore…
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Data Transformation Tool to Explore News Recommenders
Author: Manuel Feuerstein Supervisor: Julia Neidhardt, Co-Supervisor: Thomas E. Kolb Abstract This thesis focuses on the development of a data transformation tool to analyze and leverage diverse data sources from Falter Verlagsgesellschaft m.b.H (Falter). Falter provides content-based data from platforms like falter.at and shop.falter.at, along with user-based data from Matomo Analytics and shop purchase statistics.…
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K-Means Clustering of Fashion Behavior: A Language-Focused Approach
Author: Florian Dedov Supervisor: Julia Neidhardt, Co-Supervisor: Thomas E. Kolb Abstract Die Analyse von kundenbezogenen E-Commerce-Daten wird zunehmend wichtiger. Die meisten Analysen in diesem Bereich fokussieren sich auf die Produkte, wobei die Analyse des tatsächlichen Benutzerverhaltens oftmals zu kurz kommt. Um jedoch Kundengruppen besser ansprechen und wirklich verstehen zu können, was deren Präferenzen und Beweggründe…