The music recommender system consists of a feature extractor, a data preprocessing module, and a classifier. The system classifies the audio signals into blues, classical, country, disco, hip-hop, jazz, metal, pop, reggae, and rock. The classifiers such as support vector machine (SVM), K-...
(2023). Towards the Improvement of Personalized Music Recommendation System Using Deep Learning Techniques. In: Singh, P.K., Wierzchoń, S.T., Pawłowski, W., Kar, A.K., Kumar, Y. (eds) IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges. ...
education system leveraging deep learning and edge cloud computing to provide low-latency, high-bandwidth services while ensuring security and privacy [6,7]. Advanced techniques like AI and machine learning can optimize the learning experience and improve the efficiency of music education. Specifically,...
Oh Y, Yun S, Hyun D, Kim S, Park C (2023) Muse: music recommender system with shuffle play recommendation enhancement. In: Proceedings of the 32nd ACM international conference on information and knowledge management, pp 1928–1938 Zhu Z, Kim J, Nguyen T, Fenton A, Caverlee J (2021) ...
Additionally, we also plan to explore a multi-task learning framework that combines the recommender system task with the multi-modal knowledge graph representation learning task, aiming to further improve the accuracy of the recommender system. We believe that these future directions could lead to ...
His current research interests include music information retrieval, machine listening, music education, machine learning and deep learning. Matthew Davies and Sebastian Böck: Building and Evaluating a Musical Audio Beat Tracking System The task of musical audio beat tracking can be considered one the...
content-based recommendation , convolutional neural networks , recommender systems , deep learning , music recommendationAutomatic music recommendation has become ... A.V.D. Oord,S Dieleman,B Schrauwen 被引量: 261发表: 2013年 A Context-Aware Music Recommendation System Using Fuzzy Bayesian Networks ...
The recommendation quality does not depend on the prediction accuracy only. The prediction is needed for the recommender systems to build the list of songs for which the highest prediction of Q1 is obtained, indicating that the user would probably like to listen to these songs. Therefore, the ...
Hit factory –Hit Factory is a generative music system that creates music based upon your SoundCloud tastes and adapts that music based upon your feedback . Unfortunately, no samples of the music are to be found online, but take my word, they were quite interesting – not your usual slightly...
Exploration on Automatic Recommendation System for Video Background Music Based on Machine Learning Chapter © 2024 Multimodal data fusion framework based on autoencoders for top-N recommender systems Article 30 March 2019 Music Playlist Recommendation with Long Short-Term Memory Chapter © 2019...