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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)

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A hybrid approach to music playlist continuation based on playlist-song membership., , , and . SAC, page 1374-1382. ACM, (2018)How item discovery enabled by diversity leads to increased recommendation list attractiveness., , , , and . SAC, page 1693-1696. ACM, (2017)Machine Learning Approaches to Hybrid Music Recommender Systems., and . ECML/PKDD (3), volume 11053 of Lecture Notes in Computer Science, page 639-642. Springer, (2018)Exploring Music Diversity Needs Across Countries., , , and . UMAP, page 287-288. ACM, (2016)Large-scale ligand-based virtual screening for SARS-CoV-2 inhibitors using deep neural networks., , , , , , , , , and 1 other author(s). CoRR, (2020)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)Impact of Listening Behavior on Music Recommendation., , , , and . ISMIR, page 483-488. (2014)Improving Music Recommendations with a Weighted Factorization of the Tagging Activity., , , and . ISMIR, page 65-71. (2015)The Importance of Song Context in Music Playlists., , , , and . RecSys Posters, volume 1905 of CEUR Workshop Proceedings, CEUR-WS.org, (2017)Listener-Inspired Automated Music Playlist Generation.. RecSys, page 387-390. ACM, (2015)