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Language Models for Next-Track Music Recommendation., , , and . Grundlagen von Datenbanken, volume 2367 of CEUR Workshop Proceedings, page 15-19. CEUR-WS.org, (2019)Hit Song Prediction: Leveraging Low- and High-Level Audio Features., , , and . ISMIR, page 319-326. (2019)HSP Datasets: Insights on Song Popularity Prediction., , , and . Int. J. Semantic Comput., 16 (2): 233-255 (2022)Recognizing Song Mood and Theme: Leveraging Ensembles of Tag Groups., , , and . MediaEval, volume 2882 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)Pairwise Learning to Rank for Hit Song Prediction., , , and . BTW, volume P-331 of LNI, page 555-565. Gesellschaft für Informatik e.V., (2023)Recognizing Song Mood and Theme Using Convolutional Recurrent Neural Networks., , , , , and . MediaEval, volume 2670 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Autoencoders for Next-Track-Recommendation., , , and . Grundlagen von Datenbanken, volume 2367 of CEUR Workshop Proceedings, page 20-25. CEUR-WS.org, (2019)Novel Datasets for Evaluating Song Popularity Prediction Tasks., , , and . ISM, page 166-173. IEEE, (2021)Recognizing Song Mood and Theme: Clustering-based Ensembles., , , , and . MediaEval, volume 3181 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)MediaEval 2019 Emotion and Theme Recognition task: A VQ-VAE Based Approach., , , , , and . MediaEval, volume 2670 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)