Tag: Learning to Rank
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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…