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The Importance of Song Context and Song Order in Automated Music Playlist Generation., , , and . CoRR, (2018)Feature-combination hybrid recommender systems for automated music playlist continuation., , , , , and . User Model. User-Adapt. Interact., 29 (2): 527-572 (2019)A hybrid approach to music playlist continuation based on playlist-song membership., , , and . SAC, page 1374-1382. ACM, (2018)Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features., , , and . CoRR, (2017)Impact of Listening Behavior on Music Recommendation., , , , and . ISMIR, page 483-488. (2014)Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 30458-30490. PMLR, (2023)Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features: Alleviating the Cold-Start Problem for Rare and Out-of-Set Songs., , , , and . DLRS@RecSys, page 46-54. ACM, (2017)Listener-Inspired Automated Music Playlist Generation.. RecSys, page 387-390. ACM, (2015)Order, context and popularity bias in next-song recommendations., , , and . Int. J. Multim. Inf. Retr., 8 (2): 101-113 (2019)Towards Explainable Music Emotion Recognition: The Route via Mid-level Features., , , and . ISMIR, page 237-243. (2019)