Tag: Natural Language Processing
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Exploration of Content-Based Cross-Domain Podcast Recommender Systems
Author: Matthias Hofmaier Supervisor: Julia Neidhardt, Co-Supervisor: Thomas E. Kolb Abstract Podcasts have become a popular medium in the last decade. The huge amount of data available motivates research on podcast recommender systems to make this data accessible to users. Since interaction-based datasets for podcasts are only available to the large streaming providers, content-based methods…
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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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Network Analysis on the Austrian Media Corpus: Examining measures of co-occurrence between entities in Austrian media
Author: Gabriel Grill Supervisor: Hannes Werthner, Co-Supervisor: Julia Neidhardt Abstract The quantitative study of news media can provide insights into reporting patterns and enable public discourse. Print media is essential in democratic societies, so its study remains important. This thesis examines Austrian reporting using network-based methods and unpacks the suitability of such an approach for…