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Springer Nature Switzerland
Reference36 articles.
1. Allik, A., Thalmann, F., Sandler, M.: MusicLynx: exploring music through artist similarity graphs. In: Companion Proceedings of the The Web Conference 2018. WWW 2018, pp. 167–170. International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva (2018). https://doi.org/10.1145/3184558.3186970
2. Bertin-Mahieux, T., Ellis, D.P.W., Whitman, B., Lamere, P.: The million song dataset. In: Klapuri, A., Leider, C. (eds.) Proceedings of the 12th International Conference on Music Information Retrieval. ISMIR 2011, pp. 591–596. International Society for Music Information Retrieval, Miami (2011). https://doi.org/10.5281/zenodo.1415820
3. Blood, D.J., Ferriss, S.J.: Effects of background music on anxiety, satisfaction with communication, and productivity. Psychol. Rep. 72(1), 171–177 (1993). https://doi.org/10.2466/pr0.1993.72.1.171
4. Bonnin, G., Jannach, D.: Automated generation of music playlists: survey and experiments. ACM Comput. Surv. 47(2), 1–35 (2014). https://doi.org/10.1145/2652481
5. Cardoso, L., Panda, R., Paiva, R.P.: MOODetector: a prototype software tool for mood-based playlist generation. In: Proceedings of the 2nd Portuguese National Symposium on Informatics. INForum 2011, Coimbra, Portugal (2011)