Feature Selection based Music Selection using Artificial Intelligence

Research Article
Open access

Feature Selection based Music Selection using Artificial Intelligence

Apoorva Bordoloi 1 , Murari Prasad 2 , Hem Thumar 3 , Manas Saloi 4 , Deepanshu Joshi 5 , Shubham Mahajan 6 , Laith Abualigah 7*
  • 1 Ajeenkya D Y Patil University    
  • 2 Ajeenkya D Y Patil University    
  • 3 Ajeenkya D Y Patil University    
  • 4 Ajeenkya D Y Patil University    
  • 5 Ajeenkya D Y Patil University    
  • 6 Ajeenkya D Y Patil University    
  • 7 Al al-Bayt University, Middle East University    
  • *corresponding author Aligah.2020@gmail.com
Published on 1 August 2023 | https://doi.org/10.54254/2755-2721/8/20230206
ACE Vol.8
ISSN (Print): 2755-273X
ISSN (Online): 2755-2721
ISBN (Print): 978-1-915371-63-8
ISBN (Online): 978-1-915371-64-5

Abstract

Music recommendation systems have become increasingly popular in recent years thanks to artificial intelligence (AI). Streaming services have become increasingly popular in recent years thanks to affordable internet and media streaming services. Because the user base of music streaming services is ever-growing and the market in streaming services is also competitive, it is critical to provide listeners with recommendations to increase user base retention. Music recommendation systems have come a long way in the last decade, but there are still several issues to be addressed. Pure sound-based recommendations may have been a good option to examine. It would have been advantageous to explore pure sound-based recommendations since they would have been more accurate. The current systems available to consumers also have significant advantages, such as collaborative filtering of listeners, based on location, artists' preferred genres, etc., and recommending songs based on the results. Collaborative filtering does produce great results. This sound-based approach might achieve greater results when combined with these current methods.

Keywords:

artificial intelligence, music recommendation, music streaming, sound-based recommendations, collaborative filtering

Bordoloi,A.;Prasad,M.;Thumar,H.;Saloi,M.;Joshi,D.;Mahajan,S.;Abualigah,L. (2023). Feature Selection based Music Selection using Artificial Intelligence. Applied and Computational Engineering,8,761-767.
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References

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[10]. N. Shanthi, Sathishkumar V E, K. Upendra Babu, P. Karthikeyan, Sukumar Rajendran, Shaikh Muhammad Allayear, ”Analysis on the Bus Arrival Time Prediction Model for Human-Centric Services Using Data Mining Techniques”, Computational Intelligence and Neuroscience, 2022.

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[13]. Malliga Subramanian, M Sandeep Kumar, Sathishkumar V E, Jayagopal Prabhu, Alagar Karthick, S Sankar Ganesh, Mahseena Akter Meem, ”Diagnosis of Retinal Diseases Based on Bayesian Optimization Deep Learning Network Using Optical Coherence Tomography Images”, Computational Intelligence and Neuroscience, 2022,

[14]. Yufei, Liu, Sathishkumar V E, Adhiyaman Manickam, ”Augmented reality technology based on school physical education training”, Computers & Electrical Engineering, Vol. 99, 2022,

[15]. Malliga Subramanian, L.V. Narasimha Prasad, B. Janakiramaiah, A. Mohan Babu, Sathishkumar V E, ”Hyperparameter Optimization for Transfer Learning of VGG16 for Disease Identification in Corn Leaves Using Bayesian Optimization”, Big Data, 2021,

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[17]. Chen Zhongshan, Feng Xinning, Adhiyaman Manickam, Sathishkumar V E, ”Facial landmark detection using artificial intelligence techniques”, Annals of Operations Research, 2021,

[18]. Sita Kumari Kotha, Meesala Shobha Rani, Bharat Subedi, Anilkumar Chunduru, Aravind Karrothu, Bipana Neupane , Sathishkumar V E, ”A comprehensive review on secure data sharing in cloud environment”, Wireless Personal Communications, 2021,

[19]. Krishnamoorthy, L.V.Narasimha Prasad, C.S.Pavan Kumar, BharatSubedi, Haftom Baraki Abrahae, Sathishkumar V E, ”Rice Leaf Diseases Prediction using deep neural networks with transfer learning”, Environmental Research, Vol. 198, 111275, 2021.

Cite this article

Bordoloi,A.;Prasad,M.;Thumar,H.;Saloi,M.;Joshi,D.;Mahajan,S.;Abualigah,L. (2023). Feature Selection based Music Selection using Artificial Intelligence. Applied and Computational Engineering,8,761-767.

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About volume

Volume title: Proceedings of the 2023 International Conference on Software Engineering and Machine Learning

ISBN：978-1-915371-63-8(Print) / 978-1-915371-64-5(Online)
Editor：Anil Fernando, Marwan Omar
Conference website: http://www.confseml.org
Conference date: 19 April 2023
Series: Applied and Computational Engineering
Volume number: Vol.8
ISSN：2755-2721(Print) / 2755-273X(Online)

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References

[1]. Sathishkumar V E, Jaehyuk Cho, Malliga Subramanian, Obuli Sai Naren, ”Forest fire and smoke detection using deep learning based Learning without Forgetting”, Fire Ecology, vol. 10, pp. 1-17, 2023,

[2]. Malliga Subramanian, Sathishkumar V E, Jaehyuk Cho, Obuli Sai Naren, ”Multiple types of Cancer classification using CT/MRI images based on Learning without Forgetting powered Deep Learning Models”, IEEE Access, vol. 11, pp. 10336-10354, 2023,

[3]. Natesan P, Sathishkumar V E, Sandeep Kumar M, Maheswari Venkatesan, Prabhu Jayagopal, Shaikh Muhammad Allayear, ”A Distributed Framework for Predictive Analytics using Big Data and Map-Reduce Parallel Programming”, Mathematical Problems in Engineering, pp. 1-10, 2023,

[4]. Malliga Subramanian, Vani Rajasekar, Sathishkumar V E, Kogilavani Shanmugavadivel, PS Nandhini, ”Effectiveness of Decentralized Federated Learning Algorithms in Healthcare: A Case Study on Cancer Classification”, Electronics, vol. 11, no. 24, pp. 4117, 2022,

[5]. Kogilavani Shanmugavadivel, Sathishkumar V E, Sandhiya Raja, T Bheema Lingaiah, S Neelakandan, Malliga Subramanian, ”Deep learning based sentiment analysis and offensive language identification on multilingual code-mixed data”, Scientific Reports, vol. 12, no. 1, pp. 1-12, 2022,

[6]. Prakash Mohan, Sathishkumar V E, Neelakandan Subramani, Malliga Subramanian, Sangeetha Meckanzir, ”Handcrafted Deep-Feature-Based Brain Tumor Detection and Classification Using MRI Images”, Electronics, vol. 11, no. 24, pp. 4178, 2022,

[7]. Kogilavani Shanmugavadivel, Sathishkumar V E, M. Sandeep Kumar,V. Maheshwari,J. Prabhu,Shaikh Muhammad Allayear, ”Investigation of Applying Machine Learning and Hyperparameter Tuned Deep Learning Approaches for Arrhythmia Detection in ECG Images”, Computational and Mathematical Methods in Medicine, 2022.

[8]. J. Chinna Babu, M. Sandeep Kumar, Prabhu Jayagopal,Sathishkumar V E , Sukumar Rajendran, Sanjeev Kumar, Alagar Karthick, Akter Meem Mahseena, ”IoT-Based Intelligent System for Internal Crack Detection in Building Blocks”, Journal of Nanomaterials, 2022.

[9]. Bharat Subedi,Sathishkumar V E, V. Maheshwari, M. Sandeep Kumar, Prabhu Jayagopal, Shaikh Muhammad Allayear, ”Feature Learning-Based Generative Adversarial Network Data Augmentation for Class-Based Few-Shot Learning”, Mathematical Problems in Engineering, 2022.

[10]. N. Shanthi, Sathishkumar V E, K. Upendra Babu, P. Karthikeyan, Sukumar Rajendran, Shaikh Muhammad Allayear, ”Analysis on the Bus Arrival Time Prediction Model for Human-Centric Services Using Data Mining Techniques”, Computational Intelligence and Neuroscience, 2022.

[11]. E. Pavithra, Janakiramaiah, L.V.NarasimhaPrasad, D.Deepa, N.Jayapandian, Sathishkumar V E, ”Visiting Indian Hospitals Before, During and After Covid”, International Journal of Uncertainity, Fuzziness, and Knowledge- Based Systems, 2022.

[12]. Rajalaxmi R R, Narasimha Prasad, B. Janakiramaiah, C S Pavankumar, N Neelima, Sathishkumar V E, ”Optimizing Hyperparameters and Performance Analysis of LSTM Model in Detecting Fake News on Social media”,ACM Transactions on Asian and Low-Resource Language Information Processing, 2022,

[13]. Malliga Subramanian, M Sandeep Kumar, Sathishkumar V E, Jayagopal Prabhu, Alagar Karthick, S Sankar Ganesh, Mahseena Akter Meem, ”Diagnosis of Retinal Diseases Based on Bayesian Optimization Deep Learning Network Using Optical Coherence Tomography Images”, Computational Intelligence and Neuroscience, 2022,

[14]. Yufei, Liu, Sathishkumar V E, Adhiyaman Manickam, ”Augmented reality technology based on school physical education training”, Computers & Electrical Engineering, Vol. 99, 2022,

[15]. Malliga Subramanian, L.V. Narasimha Prasad, B. Janakiramaiah, A. Mohan Babu, Sathishkumar V E, ”Hyperparameter Optimization for Transfer Learning of VGG16 for Disease Identification in Corn Leaves Using Bayesian Optimization”, Big Data, 2021,

[16]. Kalaivani P C D, Sathishkumar V E, Wesam Atef Hatamleh, Kamel Dine Haouam, B. Venkatesh, Dirar Sweidan„ ”Advanced lightweight feature interaction in deep neural networks for improving the prediction in click through rate”, Annals of Operations Research, 2021,

[17]. Chen Zhongshan, Feng Xinning, Adhiyaman Manickam, Sathishkumar V E, ”Facial landmark detection using artificial intelligence techniques”, Annals of Operations Research, 2021,

[18]. Sita Kumari Kotha, Meesala Shobha Rani, Bharat Subedi, Anilkumar Chunduru, Aravind Karrothu, Bipana Neupane , Sathishkumar V E, ”A comprehensive review on secure data sharing in cloud environment”, Wireless Personal Communications, 2021,

[19]. Krishnamoorthy, L.V.Narasimha Prasad, C.S.Pavan Kumar, BharatSubedi, Haftom Baraki Abrahae, Sathishkumar V E, ”Rice Leaf Diseases Prediction using deep neural networks with transfer learning”, Environmental Research, Vol. 198, 111275, 2021.

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