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Music Recommendation System and Recommendation Model Based on Convolutional Neural Network
2022
Mobile Information Systems
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In this paper, we take digital piano music as the research object, form comprehensive features using spectrum and notes, design classification methods using convolutional neural networks, and further process ...
Two recommended methods based on convolutional neural networks are tested in this article. ...
The theme of this paper is to take digital music as the research object, design and classify the music recommendation system based on convolutional neural network [11, 12] , and further process the recommendation ...
doi:10.1155/2022/3387598
fatcat:asa4bt6j2naxfnuxihkhdp6hdq
Comparative study on traditional recommender systems and deep learning based recommender systems
2018
Advances in Modelling and Analysis B
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In this paper performance of Traditional Recommender Systems and Deep Learning-based Recommender Systems are compared. ...
Traditional Recommender Systems provided the solutions in recommending the products. This in turn help companies to generate good revenue. Now a day Deep Learning is using in every domain. ...
CNN based recommender system Deep Cooperative Neural Network [DeepCoNN] [12] is Convolutional Neural Network uses factorization Machines provide users rating predictions. ...
doi:10.18280/ama_b.610202
fatcat:4iur3pjuujdkha6dyt3v6ntequ
Music Genre Classification and Recommendation
2021
International Journal of Scientific Research in Computer Science Engineering and Information Technology
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As a rule, AI techniques are utilized to group music types and profound learning strategy is utilized to prepare the model yet in this undertaking, we will utilize neural organization strategies for the ...
In this day and age as music industry develops quickly, there are various kinds of music sorts made. It is essential to classify the music into these classifications, yet it is mind boggling task. ...
In our paper, we will propose an improved algorithm based on deep neural network on measure similarity between different songs. ...
doi:10.32628/cseit217684
fatcat:ergdfo6lzvfspptj4qtbf64vem
Design of the Piano Score Recommendation Image Analysis System Based on the Big Data and Convolutional Neural Network
2021
Computational Intelligence and Neuroscience
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A piano music image analysis and recommendation system based on the CNN classifier and user preference is designed by using the convolutional neural network (CNN), which can realize accurate piano music ...
Compared with the traditional CNN algorithm, this paper uses the convolutional neural network (CNN) to analyze and recommend piano music images according to users' preferences, which can realize more accurate ...
Compared with the traditional CNN algorithm, this paper uses the convolutional neural network (CNN) to design a piano music image analysis and recommendation system based on the CNN classifier and user ...
doi:10.1155/2021/4953288
pmid:34868290
pmcid:PMC8642031
fatcat:3kk5jcsfjbfy7l2dvq7dmndcda
Dynamic convolutional neural network for eliminating item sparse data on recommender system
2018
IJAIN (International Journal of Advances in Intelligent Informatics)
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This research proposes a novel Dynamic Convolutional Neural Network (DCNN) to improve meaning accuracy of product review on a collaborative filtering recommender system. ...
DCNN was used to eliminate item sparse data on text product review while the accuracy level was measured by Root Mean Squared Error (RMSE). ...
Time Excelindo, Yogyakarta, Indonesia which is the Holding Company in Indonesia; and anonymous reviewers who gave valuable critiques and suggestions for the improvement of this paper. ...
doi:10.26555/ijain.v4i3.291
fatcat:tkn5ecdanbgwvgbuso5p56ua6a
Audio Cover Song Identification using Convolutional Neural Network
[article]
2020
arXiv
pre-print
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In this paper, we propose a new approach to cover song identification using a CNN (convolutional neural network). ...
The trained CNN outputs the probability of being in the cover song relation given a cross-similarity matrix generated from any two pieces of music and identifies the cover song by ranking on the probability ...
Acknowledgments This work was supported by Kakao and Kakao Brain corporations. ...
arXiv:1712.00166v2
fatcat:rdga2rsglnandptqbbexjl77za
Image Recommendation Algorithm Combined with Deep Neural Network Designed for Social Networks
2021
Complexity
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The compressed output of the two sub-ESTM neural networks is used as the input of another LSTM neural network. ...
Traditional image recommendation algorithms use text-based recommendation methods. The process of displaying images requires a lot of time and labor, and the time-consuming labor is inefficient. ...
Deep Neural Network and Image Recommendation Algorithm
Deep Neural Network. ...
doi:10.1155/2021/5196190
fatcat:dgdd4nxsgbexbo5z4iok4ylr2y
An Application-oriented Review of Deep Learning in Recommender Systems
2019
International Journal of Intelligent Systems and Applications
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The increasing research in recommender systems using deep learning proves the success of deep learning techniques over traditional methods of recommender systems. ...
This paper gives a brief overview of various deep learning techniques and their implementation in recommender systems for various applications. ...
These techniques are as follows:
Convolutional neural network: A network with convolutional layers and pooling operations is termed as convolutional neural network. ...
doi:10.5815/ijisa.2019.05.06
fatcat:67fgexfbfjh2no5b3phvohbole
Automatic Recommendation Algorithm for Video Background Music Based on Deep Learning
2021
Complexity
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interests, and uses convolutional neural networks to mine hidden features of video background music. ...
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. ...
Video Background Music Feature Mining Based on Extended Convolutional Neural Network. ...
doi:10.1155/2021/6696986
doaj:2c1a846805164e36a4d3f9d65fe7d7ef
fatcat:gmo3ldolhjbg5ecehdkqg2kagm
A Survey of State-of-the-art: Deep Learning Methods on Recommender System
2017
International Journal of Computer Applications
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In this paper different traditional recommendation techniques, deep learning approaches for recommender system and survey of deep learning techniques on recommender system are presented. ...
One solution to ease this overload problem is building recommender system that can process a large amount of data and support users' decision making ability. ...
Convolutional Neural Network (CNN) Convolutional Neural Network is a type of deep learning model with each module consisting of a convolutional layer and a pooling layer. ...
doi:10.5120/ijca2017913361
fatcat:txeaquy5dfdelezsly4g7ze3ca
Design of Deep Learning Network Model for Personalized Music Emotional Recommendation
2022
Security and Communication Networks
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In this study, we propose an algorithmic model based on the two-layer attention mechanism, which includes the processing of textual convolutional neural network for music name and music label text data ...
In modern society, people tend to listen to music more and more as a way of leisure and entertainment, and different types of music hold different feelings of listeners and trigger different emotional ...
was introduced based on [20] , and the sentence modeling was implemented using the convolutional neural network with the addition of the attention mechanism [21] . ...
doi:10.1155/2022/4443277
fatcat:mtxtpc47cfe5leabpv4fpd25ca
Music Genre Classification and Music Recommendation by Using Deep Learning
2020
Electronics Letters
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In this study, a music genre classification system and music recommendation engine, which focuses on extracting representative features that have been obtained by a novel deep neural network model, have ...
Classifying music by their genre is one of the most useful techniques used to solve this problem. There are a number of approaches for music classification and recommendation. ...
In our previous study [6] , a convolutional neural network (CNN) was designed and utilised to obtain acoustic features from raw music, spectrogram and melspectrogram of each music. ...
doi:10.1049/el.2019.4202
fatcat:uqlh4l7lqzfipehhff5krhgsyq
A Deep Temporal Neural Music Recommendation Model Utilizing Music and User Metadata
2019
Applied Sciences
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We encoded the music metadata into one-hot vectors and utilized the Deep Neural Network to project the music vectors to low-dimensional space and obtain the music characteristics. ...
To address these issues, we proposed a Deep Temporal Neural Music Recommendation model (DTNMR) based on music characteristics and the users' temporal preferences. ...
[6] utilized Convolutional Neural Network (CNN) to extract hidden information from music. Wang et al. ...
doi:10.3390/app9040703
fatcat:qptc25uqmvhd5jme3yqgv7tgjy
A Deep Multimodal Approach for Cold-start Music Recommendation
2017
Proceedings of the 2nd Workshop on Deep Learning for Recommender Systems - DLRS 2017
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In this work we aim to address this so-called cold-start problem by combining text and audio information with user feedback data using deep network architectures. ...
Music streaming services often ingest all available music, but this poses a challenge: how to recommend new artists for which prior knowledge is scarce? ...
ACKNOWLEDGMENTS is work was partially funded by the Spanish Ministry of Economy and Competitiveness under the Maria de Maeztu Units of Excellence Programme (MDM-2015-0502). ...
doi:10.1145/3125486.3125492
dblp:conf/recsys/OramasNSS17
fatcat:srv74edtavccnp46cqxgjptuxm
Music Genre Classification Using Duplicated Convolutional Layers in Neural Networks
2019
Interspeech 2019
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In this paper, we proposed an approach to improve music genre classification with convolutional neural networks (CNN). ...
Using mel-scale spectrogram as the input, we used duplicate convolutional layers whose output will be applied to different pooling layers to provide more statistical information for classification. ...
[8] applied Convolutional Recurrent Neural Network (CRNN), which combines convolutional neural network and recurrent neural network together, on music genre classification. ...
doi:10.21437/interspeech.2019-1298
dblp:conf/interspeech/YangZ19
fatcat:dmhfpgpav5g3tbfug2s7ti3bey
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