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Deep Learning in Music Recommendation Systems

Markus Schedl
2019 Frontiers in Applied Mathematics and Statistics  
Like in many other research areas, deep learning (DL) is increasingly adopted in music recommendation systems (MRS).  ...  This review article explains particularities of the music domain in RS research. It gives an overview of the state of the art that employs deep learning for music recommendation.  ...  INTRODUCTION Research on music recommendation systems (MRS) is spiraling [1] . So is research in deep learning (DL).  ... 
doi:10.3389/fams.2019.00044 fatcat:vvosxlygrravloyrj3qubflnoe

Design of the Piano Score Recommendation Image Analysis System Based on the Big Data and Convolutional Neural Network

Yuanyuan Zhang, Bai Yuan Ding
2021 Computational Intelligence and Neuroscience  
Therefore, the piano music recommendation system based on the CNN has strong feature learning ability and good prediction and recommendation ability.  ...  In addition, the accuracy of the recommendation system is 55.84%.  ...  With the application of deep learning technology gradually extended to various fields, deep learning is more and more used by music recommendation systems.  ... 
doi:10.1155/2021/4953288 pmid:34868290 pmcid:PMC8642031 fatcat:3kk5jcsfjbfy7l2dvq7dmndcda

Research on Music Content Recognition and Recommendation Technology Based on Deep Learning

Gao Yang, Muhammad Arif
2022 Security and Communication Networks  
How to propose the songs that consumers anticipate from the enormous song data is one of the key goals of the music recommendation system.  ...  This research aims to create a better music algorithm that incorporates user data for deep learning, a candidate matrix compression technique for suggestion improvement, accuracy, recall rate, and other  ...  and proposes a music recommendation system based on deep learning.  ... 
doi:10.1155/2022/7696840 fatcat:kvebk7hgbndxfjpwvzl5hr4mue

Improved Music Recommendation Algorithm for Deep Neural Network Based on Attention Mechanism

Xin He, Wen Zhou
2022 Mobile Information Systems  
In view of the above question, this section based on the attention mechanism of the deep neural network music recommendation algorithm, through the use of improved MFCC audio data preprocessing, the extracted  ...  Traditional music recommendation system based on the collaborative filtering algorithm has low recommendation accuracy, poor real-time performance, sparsity, system cold start, and so on.  ...  In addition to the research content to be covered, deep learning can be integrated into any traditional recommendation system.  ... 
doi:10.1155/2022/4112575 fatcat:e2c23vwswbhqtiatqszvema2tu

Automatic Recommendation of Online Music Tracks Based on Deep Learning

Hong Gao, Zaoli Yang
2022 Mathematical Problems in Engineering  
It is one of the main goals of personalized music recommendation system that how to accurately recommend the songs in line with users' interests in the huge music library.  ...  In view of the above problems, this study proposes a personalized music recommendation method based on convolutional neural network.  ...  Many large companies began to use machine learning or deep learning-related technologies to build recommendation systems.  ... 
doi:10.1155/2022/5936156 fatcat:dbzszmh4xfdh7lixetbpgthve4

A Survey of State-of-the-art: Deep Learning Methods on Recommender System

Basiliyos Tilahun, Charles Awono, Bernabe Batchakui
2017 International Journal of Computer Applications  
In this paper different traditional recommendation techniques, deep learning approaches for recommender system and survey of deep learning techniques on recommender system are presented.  ...  Even though deep learning poses a great impact in various areas, applying the model to a recommender systems have not been fully exploited.  ...  CONCLUSION In this article, we presented traditional recommender system and techniques involved in deep learning recommender system.  ... 
doi:10.5120/ijca2017913361 fatcat:txeaquy5dfdelezsly4g7ze3ca

A Deep Temporal Neural Music Recommendation Model Utilizing Music and User Metadata

Hai-Tao Zheng, Jin-Yuan Chen, Nan Liang, Arun Sangaiah, Yong Jiang, Cong-Zhi Zhao
2019 Applied Sciences  
In music recommendation, most deep learning-based methods focus on learning users' temporal preferences using their listening histories.  ...  Deep learning shows its superiority in many domains such as computing vision, nature language processing, and speech recognition.  ...  Deep Temporal Neural Music Recommendation Model In this section, we elaborate the Top-K recommender system, Deep Temporal Neural Music Recommendation model (DTNMR).  ... 
doi:10.3390/app9040703 fatcat:qptc25uqmvhd5jme3yqgv7tgjy

A Survey of Deep Learning Approaches for Recommendation Systems

Jun Yi Liu
2018 Journal of Physics, Conference Series  
This paper provides a survey of recommendation systems, which focuses on deep learning approaches and the system of applications.  ...  As deep learning develops, the application of deep neural network in related research is increasingly prevalent.  ...  In this paper, we present several recommender systems based on deep learning techniques.  ... 
doi:10.1088/1742-6596/1087/6/062022 fatcat:2mep7pcyvrdvldwq7z3ts6w6gm

Music Recommendation System and Recommendation Model Based on Convolutional Neural Network

Yezi Zhang, Chia-Huei Wu
2022 Mobile Information Systems  
typical source network model used in the system experiment.  ...  How to obtain one's favorite music from the massive music database has become a problem, and the emergence of music recommendation systems is also inevitable.  ...  of music recommendation systems.  ... 
doi:10.1155/2022/3387598 fatcat:asa4bt6j2naxfnuxihkhdp6hdq

Deep Learning-Based Context-Aware Recommender System Considering Contextual Features

Soo-Yeon Jeong, Young-Kuk Kim
2021 Applied Sciences  
In this paper, we propose a deep learning-based context-aware recommender system that considers the contextual features.  ...  Based on existing deep learning models, we combine a neural network and autoencoder to extract characteristics and predict scores in the process of restoring input data.  ...  Data Availability Statement: Publicly available datasets were analyzed in this study. This data can be found here: https://github.com/irecsys/CARSKit (accessed on 15 July 2020).  ... 
doi:10.3390/app12010045 fatcat:si2xy6qdujbhnhrkwqhmcpzo6u

Hybrid Music Recommendation Algorithm Based on Music Gene and Improved Knowledge Graph

Tingting Zhang, Shengnan Liu, Chin-Ling Chen
2022 Security and Communication Networks  
In addition, deep learning method is applied to extract low-dimensional, abstract deep semantic features of users and items, based on which, score prediction is performed.  ...  that cannot effectively solve the accuracy problem in music recommendation.  ...  Tag2word models further discover the semantics of tag information to improve recommendation methods. Deep learning is widely adopted in tag-based recommender systems.  ... 
doi:10.1155/2022/5889724 fatcat:x6xngsp5grdurpziwg3tqvi72m

Automatic Recommendation Algorithm for Video Background Music Based on Deep Learning

Hong Kai
2021 Complexity  
The performance test and function test of the system were carried out, respectively, to verify the effectiveness of the hybrid recommendation algorithm and the effect of the system for recommendation.  ...  Based on the idea of probabilistic matrix decomposition, the tightly coupled fusion of multiple deep learning models and collaborative filtering is realized.  ...  all make deep learning more attractive in the recommendation field.  ... 
doi:10.1155/2021/6696986 doaj:2c1a846805164e36a4d3f9d65fe7d7ef fatcat:gmo3ldolhjbg5ecehdkqg2kagm

Use of Deep Learning in Modern Recommendation System: A Summary of Recent Works

Ayush Singhal, Pradeep Sinha, Rakesh Pant
2017 International Journal of Computer Applications  
The review concludes by discussion of the impact of deep learning in recommendation system in various domain and whether deep learning has shown any significant improvement over the conventional systems  ...  Meanwhile, several recent studies have shown the utility of deep learning in the area of recommendation systems and information retrieval as well.  ...  We also find that most of the deep learning development has been biased towards entertainment industry such as in movie and music recommendation.  ... 
doi:10.5120/ijca2017916055 fatcat:m6icpquumbgczhrdnya7x35of4

Special issue on multimedia recommendation and multi-modal data analysis

Xiangnan He, Zhenguang Liu, Hanwang Zhang, Chong-Wah Ngo, Svebor Karaman, Yongfeng Zhang
2019 Multimedia Systems  
In the paper entitled "Deep learning-based automatic downbeat tracking: a brief review", the authors conduct a survey on music downbeat tracking.  ...  Advanced deep learning and machine learning methods and novel deep-feature extraction mechanism are yet to be explored.  ... 
doi:10.1007/s00530-019-00639-3 fatcat:z2qpdombobf4zonjjpe5pvfqrm

Deep Learning Innovations in Recommender Systems

Bilal Ahmed, Li Wang, Muhammad Amjad, Waqar Hussain, Syed Badar-ud-Duja, M. Abdul
2019 International Journal of Computer Applications  
Deep learning a state of art machine learning method also achieve promising performance in the field of recommender system.  ...  In this study we provide an overview of traditional approaches their limitations and then discuss about the aspects of deep learning used in the recommender system domain to improve the accuracy in recommender  ...  Deep Belief Networks for Recommendation In content based recommendation methods deep belief networks are used to extract the unknown and useful features of music content in music recommendation system.  ... 
doi:10.5120/ijca2019918882 fatcat:tuhfyyytkzbifc74ewqjgcs5wq
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