Gardini E, Ferrarotti MJ, Cavalli A, Decherchi S. Using principal paths to walk through music and visual art style spaces induced by convolutional neural networks. Cogn Comput. 2021;13(2):570–82.
Liu C, Feng L, Liu G, Wang H, Liu S. Bottom-up broadcast neural network for music genre classification. Multimed Tools Appl. 2021;80(5):7313–31.
Bergstra J, Casagrande N, Erhan D, Eck D, Kégl B. Aggregate features and AdaBoost for music classification. Mach Learn. 2006;65(2–3):473–84.
Cano P, Koppenberger M, Wack N. Content-based music audio recommendation. In: ACM MM. 2005. p. 211–212.
Wang X, Rosenblum DS, Wang, Y. Context-aware mobile music recommendation for daily activities. In: ACM MM. 2012. p. 99–108.
Tzanetakis G, Cook PR. Musical genre classification of audio signals. IEEE Trans Speech and Audio Processing. 2002;10(5):293–302.
Rich E. User modeling via stereotypes. Cogn Sci. 1979;3(4):329–54.
Li S, Kawale J, Fu Y. Deep collaborative filtering via marginalized denoising auto-encoder. In: CIKM. 2015. p. 811–820.
Herlocker JL, Konstan JA, Borchers A, Riedl J. An algorithmic framework for performing collaborative filtering. SIGIR Forum. 2017;51(2):227–34.
Jongpil L, Jiyoung P, Keunhyoung K, Juhan N. SampleCNN: end-to-end deep convolutional neural networks using very small filters for music classification. Appl Sci. 2018;8(1):150.
Choi K, Fazekas G, Sandler MB, Cho K. Transfer learning for music classification and regression tasks. In: ISMIR. 2017. p. 141–149.
Zhong G, Wang H, Jiao W. MusicCNNs: a new benchmark on content-based music recommendation. In: ICONIP. 2018. p. 394–405.
Kour G, Mehan N, Kour G, Mehan N. Music genre classification using MFCC, SVM and BPNN. Int J Comput Appl. 2015;112(6):12–4.
García-García D, Arenas-García J, Parrado-Hernández E, Diaz-de Maria F. Music genre classification using the temporal structure of songs. In: MLSP. 2010. p. 266–271.
McKinney MF, Breebaart J. Features for audio and music classification. In: ISMIR. 2003.
Dieleman S, Brakel P, Schrauwen B. Audio-based music classification with a pretrained convolutional network. In: ISMIR. 2011. p. 669–674.
Bian W, Wang J, Zhuang B, Yang J, Wang S, Xiao J. Audio-based music classification with DenseNet and data augmentation. In: PRICAI. 2019. p. 56–65.
Dieleman S, Schrauwen B. End-to-end learning for music audio. In: ICASSP. 2014. p. 6964–6968.
Kumar V, Khattar D, Gupta S, Gupta M, Varma V. Deep neural architecture for news recommendation. In: CLEF. 2017.
Porteous I, Asuncion AU, Welling M. Bayesian matrix factorization with side information and dirichlet process mixtures. In: AAAI. 2010.
Xiao H, Chen Y, Shi X, Xu G. Multi-perspective neural architecture for recommendation system. Neural Netw. 2019;118:280–8.
Chen J, Zhang H, He X, Nie L, Liu W, Chua T. Attentive collaborative filtering: multimedia recommendation with item- and component-level attention. In: SIGIR. 2017. p. 335–344.
Sánchez-Moreno D, González ABG, Vicente MDM, Batista VFL, García MNM. A collaborative filtering method for music recommendation using playing coefficients for artists and users. Expert Syst Appl. 2016;66:234–44.
Tang YF, Yun YZ, Jin WW, Xiao MC. Music recommendation with collaborative filtering for mobile services. Appl Mech Mater. 2014;519–520:510–5.
Yan Y, Liu T, Wang Z. A music recommendation algorithm based on hybrid collaborative filtering technique. In: SMP, vol. 568. Springer; 2015. p. 233–240.
Liang Z, Tan Z, Zhuo Z, Zhang X. A hybrid music recommendation system based on scene-state perception model. In: ICSCC, vol. 10699. 2017. p. 19–26.
Wang, L. Design and implementation of hybrid music recommendation system based on music gene. In: CIPAE. 2020. p. 121–124.
Wu, D. Music personalized recommendation system based on hybrid filtration. In: ICITBS. 2019. p. 430–433.
Liang D, Zhan M, Ellis DPW. Content-aware collaborative music recommendation using pre-trained neural networks. In: ISMIR. 2015. p. 295–301.
Su J, Chiu T. An item-based music recommender system using music content similarity. In: ACIIDS, vol. 9622. 2016. p. 179–190.
Lin M, Chen Q, Yan S. Network in network. In: ICLR. 2014.
Murray M. Building a music recommender with deep learning. 2017.
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