Markus Schedl

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.

The impact of playlist characteristics on coherence in user-curated music playlists - EPJ Data Science Music playlist creation is a crucial, yet not fully explored task in music data mining and music information retrieval. Previous studies have largely focused on investigating diversity, popularity, an...

In our recent paper, published in EPJ Data Science, we study the influence of length, edits, track popularity, and collaborative curation on the coherence of music playlists: link.springer.com/article/10.1...

TENURE TRACK PROFESSORSHIP in Reinforcement Learning announced at Johannes Kepler University Linz.

Three other ML/AI tenure tracks also open.

www.jku.at/en/the-jku/w...

Very happy to announce an opening for a Tenure-Track Professor Position in Natural Language Processing and Interaction (topics of interest including IR and RecSys), which is open to female applicants, with an application deadline of May 28.
More details can be found at www.jku.at/en/the-jku/w...

Submission deadline (April 16) for our HyPer Workshop (Hybrid AI for Human-Centric Personalization) @ UMAP 2025, New York is coming closer: aisocietylab.github.io/hyper/#impor...

Four Tenure-track positions in AI exclusively for female applicants at @jkulinz.bsky.social! Details available soon at www.jku.at/en/lit-artif...