Open Access
ITM Web Conf.
Volume 44, 2022
International Conference on Automation, Computing and Communication 2022 (ICACC-2022)
Article Number 03026
Number of page(s) 5
Section Computing
Published online 05 May 2022
  1. T-RECSYS: A Novel Music Recommendation System Using Deep Learning. 2019 IEEE International Conference. [Google Scholar]
  2. Badrul Sarwar, George Karypis, Joseph Konstan, and John Ried. Item-Based Collaborative Filtering Recommendation Algorithms (2004). [Google Scholar]
  3. A Survey of Music Recommendation Systems and Future Perspectives, Conference: The 9th International Symposium on Computer Music Modeling and Retrieval (CMMR) At: London, UK (June, 2012). [Google Scholar]
  4. Application of Content-Based Approach in Research Paper Recommendation System for a Digital Library. (October, 2014) International Journal of Advanced Computer Science and Applications 5(10). [Google Scholar]
  5. librosa: Audio and Music Signal Analysis in Python. Conference: Python in Science Conference (January, 2015) [Google Scholar]
  6. [Google Scholar]
  7. Music Feature Extraction. Sanket Doshi (Dec, 2018)8. Saad Albawi; Tareq Abed Mohammed; Saad Al- Zawi. Understanding of a convolutional neural network. 2017 IEEE International Conference. [Google Scholar]
  8. Keiron Teilo (O'Shea Aberystwyth University). An Introduction to Convolutional Neural Networks. (November, 2015) [Google Scholar]
  9. Alfirna Rizqi Lahitani; Adhistya Erna Permanasari; Noor Akhmad Setiawan. Cosine similarity to determine similarity measure. 2016 4th IEEE International Conference. [Google Scholar]
  10. Dani Gunawan (University of Sumatera Utara), Mohammad Andri Budiman (University of Sumatera Utara). The Implementation of Cosine Similarity to Calculate Text Relevance. March 2018 Journal of Physics Conference Series 978(1):012120 [CrossRef] [Google Scholar]
  11. cosine-similarity-and-its-application-fd42f585296a [Google Scholar]
  12. C. de la Bandera, A.M. Barbancho, L.J. Tard'on, Simone Sammartino, and Isabel Barbancho. Humming Method for Content-Based Music Information Retrieval. ISMIR 2011, (Ismir):49–54, 2011. [Google Scholar]
  13. Cristobal Veas. Predicting the Music Mood of a Song with Deep Learning. Published in Towards Data Science (Aug 15, 2020). [Google Scholar]

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