Markus Schedl
@mschedl.bsky.social
Full Professor of Multimedia Mining, Search, and Retrieval at Johannes Kepler University Linz @jkulinz.bsky.social | Head of Human-centered AI Group at Linz Institute of Technology | Web: http://www.mschedl.eu
The insights from this study have practical implications for enhancing recommendation tasks, such as automatic playlist generation, beyond traditional accuracy metrics. We also propose a simple greedy algorithm that reorganizes playlists to align coherence with observed trends.
May 9, 2025 at 12:36 PM
The insights from this study have practical implications for enhancing recommendation tasks, such as automatic playlist generation, beyond traditional accuracy metrics. We also propose a simple greedy algorithm that reorganizes playlists to align coherence with observed trends.