Music Track Recommendation Using Deep-CNN and Mel Spectrograms
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Information Systems,Software
Link
https://link.springer.com/content/pdf/10.1007/s11036-023-02170-2.pdf
Reference19 articles.
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2. Darshna P (2018) “Music recommendation based on content and collaborative approach & reducing cold start problem,” in 2nd International Conference on Inventive Systems and Control (ICISC), Coimbatore: IEEE, Jan. 2018, pp. 1033–1037. doi: https://doi.org/10.1109/ICISC.2018.8398959
3. Mao K, Chen G, Hu Y, Zhang L (Mar. 2016) Music recommendation using graph based quality model. Sig Process 120:806–813. https://doi.org/10.1016/j.sigpro.2015.03.026
4. Shakirova E (2017) “Collaborative filtering for music recommender system,” in IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus), St. Petersburg and Moscow, Russia: IEEE, 2017, pp. 548–550. doi: https://doi.org/10.1109/EIConRus.2017.7910613
5. Thorat PB, Goudar R, Barve S (Jan. 2015) Survey on collaborative filtering, content-based Filtering and Hybrid Recommendation System. Int J Comput Appl 110:31–36. https://doi.org/10.5120/19308-0760
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1. Music Genre Recognition Based on Hybrid Feature Vector with Machine Learning Methods;Çukurova Üniversitesi Mühendislik Fakültesi Dergisi;2023-10-18
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