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Machine Learning Methods for Music Discovery and Recommendation [chapter]

Douglas Eck
<span title="">2012</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
In this talk I will relate current work at Google in music recommendation to the challenge of automatic music annotation ("autotagging").  ...  I will spend most of the talk looking at (a) signal processing and sparse coding strategies for pulling relevant structure from audio, and (b) training multi-class ranking models in order to build good  ...  His current focus is on machine learning models and user interfaces for music discovery and recommendation.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-33460-3_3">doi:10.1007/978-3-642-33460-3_3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hr35hgad3vgujgha7gbibqeejq">fatcat:hr35hgad3vgujgha7gbibqeejq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20181030100224/https://link.springer.com/content/pdf/10.1007%2F978-3-642-33460-3_3.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/56/d8/56d83eb4aa8a19f6d04f592266cb01988ef90e1d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-33460-3_3"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

TRUST IN THE MUSIC? AUTOMATED MUSIC DISCOVERY, MUSIC RECOMMENDATION SYSTEMS & ALGORITHMIC CULTURE

Freeman Sophie Olivia
<span title="2019-10-31">2019</span> <i title="University of Illinois Libraries"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/6fozp6wx6remhpsmphfb3derma" style="color: black;">Selected Papers of Internet Research, SPIR</a> </i> &nbsp;
Users speak of 'their' algorithm, as if it belonged to them and not a part of a complex machine learning recommendation system.  ...  The research explored the process through which Spotify automates discovery by incorporating established methods of music consumption, and demonstrated that music recommendation systems such as Spotify  ...  We trust music streaming services and recommender systems like Spotify to 'set the mood' for us, to soundtrack our private lives and activities, to recommend and discover music for us.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5210/spir.v2019i0.10962">doi:10.5210/spir.v2019i0.10962</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nvyxekb2r5f4vgfulhb6kiia3i">fatcat:nvyxekb2r5f4vgfulhb6kiia3i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201104132556/https://journals.uic.edu/ojs/index.php/spir/article/download/10962/9629" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/57/7e/577e388ef69a91f5f17096621b654907fdc62b98.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5210/spir.v2019i0.10962"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

User Musical Taste Prediction Technique Using Music Metadata and Features

Minseo Gong, Jae-Yoon Cheon, Young-Suk Park, Jeawon Park, Jaehyun Choi
<span title="2016-08-31">2016</span> <i title="Science and Engineering Research Support Society"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/gri3ay7vs5efhoridfutfkfagu" style="color: black;">International Journal of Multimedia and Ubiquitous Engineering</a> </i> &nbsp;
This technique proceeds through a four-step process; data collection, data pre-processing, feature extraction, and machine learning.  ...  In music streaming services, music recommendation plays a key role, but Korean users' recognition about their music service is not high because the service's recommendation accuracy is not good.  ...  In music streaming services, recommendation and discovery function play key role [4] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14257/ijmue.2016.11.8.18">doi:10.14257/ijmue.2016.11.8.18</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/73dkz53x7fbg5k2dhaufrbin4y">fatcat:73dkz53x7fbg5k2dhaufrbin4y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180604020135/http://www.sersc.org/journals/IJMUE/vol11_no8_2016/18.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/71/cd/71cdaec0705656363629da9b23b99768ad767e40.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14257/ijmue.2016.11.8.18"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Diversifying Music Recommendations [article]

Houssam Nassif, Kemal Oral Cansizlar, Mitchell Goodman, SVN Vishwanathan
<span title="2018-10-02">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We compare submodular and Jaccard methods to diversify Amazon Music recommendations. Submodularity significantly improves recommendation quality and user engagement.  ...  Unlike the Jaccard method, our submodular approach incorporates item relevance score within its optimization function, and produces a relevant and uniformly diverse set.  ...  Attribution: Nassif, Cansizlar, Goodman, Vishwanathan, "Diversifying Music Recommendations" Machine Learning for Music Discovery Workshop at the 33 rd International Conference on Machine Learning, New  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1810.01482v1">arXiv:1810.01482v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4vxiutoemvgc3gqz56cuolltyq">fatcat:4vxiutoemvgc3gqz56cuolltyq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191014182220/https://arxiv.org/pdf/1810.01482v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/33/90/3390973bf29afff94afd1b47cfe1f85ba43864c0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1810.01482v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Machine Learning Approaches to Hybrid Music Recommender Systems [article]

Andreu Vall, Gerhard Widmer
<span title="2018-07-16">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We survey our works investigating the machine learning and data mining aspects of hybrid music recommender systems (i.e., systems that integrate different recommendation techniques).  ...  We proposed hybrid music recommender systems based solely on data and robust to the so-called "cold-start problem" for new music items, favoring the discovery of relevant but non-popular music.  ...  This research has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme under grant agreement No 670035 (Con Espressione).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1807.05858v1">arXiv:1807.05858v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/opwdpoyqtfd4pdf2ltdemfe6k4">fatcat:opwdpoyqtfd4pdf2ltdemfe6k4</a> </span>
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Text-learning and related intelligent agents: a survey

D. Mladenic
<span title="">1999</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/i6odselg2vhytkiryfsdh6fpjy" style="color: black;">IEEE Intelligent Systems and their Applications</a> </i> &nbsp;
A wide range of researchers are involved in the intensive development of methods for using machine-learning techniques on text databases, called text learning, which combine research in machine learning  ...  This article surveys a part of text learning where supervised learning methods are used for text  ...  Many thanks to the anonymous reviewers for valuable comments and suggestions.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/5254.784084">doi:10.1109/5254.784084</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6u562ljgsregjohgj3jqeopaoq">fatcat:6u562ljgsregjohgj3jqeopaoq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20131020234815/http://facweb.cs.depaul.edu:80/mobasher/classes/ect584/papers/mladenic.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/77/62/77622089fbb8da37e4f4f3ac7ad28eca5dfb5b73.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/5254.784084"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Music Suggestion Via Sentimental Analysis of User-Inputted Texts

Vipin Wani, Niketan Bothe, Avani Soni
<span title="2021-05-01">2021</span> <i title="Technoscience Academy"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cwo66igunvdiplkdqwpqsgzpem" style="color: black;">International Journal of Scientific Research in Computer Science Engineering and Information Technology</a> </i> &nbsp;
and discovery in one piece of technology.  ...  Music is oftentimes alluded to as a "language of emotion", and it is characteristic for us to classify music in terms of its enthusiastic affiliations.  ...  INTRODUCTION Music and automated machine learning have been a domain combination that has, for the better part of the last decade or so, not been explored to its fullest.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.32628/cseit217320">doi:10.32628/cseit217320</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7xsbasci45banhh4eyshnu64wa">fatcat:7xsbasci45banhh4eyshnu64wa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210520224437/https://ijsrcseit.com/paper/CSEIT217320.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/44/ec/44ec5efbcf329d173197efe743c9e8403923c365.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.32628/cseit217320"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Guest Editorial: Machine learning in and for music

G. Widmer
<span title="">2006</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/h4nnd7sxwzcwhetu5qkjbcdh6u" style="color: black;">Machine Learning</a> </i> &nbsp;
and adaptive music search and recommendation systems, automatic style recognition and music classification, etc.  ...  Artificial Intelligence, in particular, has dreamed of devising intelligent musical machines almost from its inception. Music has also played its role in the history of machine learning research.  ...  Acknowledgments The editor of the special issue greatly appreciates support for his and his group's research in machine learning and music by a number of institutions, in particular: the European Commission  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10994-006-0588-2">doi:10.1007/s10994-006-0588-2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/74keabdaifdnzlfxctyudavwwy">fatcat:74keabdaifdnzlfxctyudavwwy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180728024018/https://link.springer.com/content/pdf/10.1007%2Fs10994-006-9964-1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/85/bf/85bffe5ddef99213b98c3dbd71cf99a4093bff1e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10994-006-0588-2"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Guest editorial: Machine learning in and for music

Gerhard Widmer
<span title="2006-08-29">2006</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/h4nnd7sxwzcwhetu5qkjbcdh6u" style="color: black;">Machine Learning</a> </i> &nbsp;
and adaptive music search and recommendation systems, automatic style recognition and music classification, etc.  ...  Artificial Intelligence, in particular, has dreamed of devising intelligent musical machines almost from its inception. Music has also played its role in the history of machine learning research.  ...  Acknowledgments The editor of the special issue greatly appreciates support for his and his group's research in machine learning and music by a number of institutions, in particular: the European Commission  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10994-006-9964-1">doi:10.1007/s10994-006-9964-1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jggqdrlcgfdx7lngdhnhbacbou">fatcat:jggqdrlcgfdx7lngdhnhbacbou</a> </span>
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Automatic Recommendation of Online Music Tracks Based on Deep Learning

Hong Gao, Zaoli Yang
<span title="2022-06-07">2022</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wpareqynwbgqdfodcyhh36aqaq" style="color: black;">Mathematical Problems in Engineering</a> </i> &nbsp;
In view of the above problems, this study proposes a personalized music recommendation method based on convolutional neural network.  ...  the music-type classification method with different dimensions.  ...  On the one hand, the development of data mining, machine learning, artificial intelligence, and other technologies provide new feasible methods for the research of recommendation system.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2022/5936156">doi:10.1155/2022/5936156</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dbzszmh4xfdh7lixetbpgthve4">fatcat:dbzszmh4xfdh7lixetbpgthve4</a> </span>
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Using Factor Decomposition Machine Learning Method to Music Recommendation

Dapeng Sun, Zhihan Lv
<span title="2021-04-30">2021</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/y3fh56bfunh5fgneywwba6d4ke" style="color: black;">Complexity</a> </i> &nbsp;
The user data mining was introduced into the model construction process, and the user behavior was decomposed by analyzing various influencing factors through the factorization machine (FM) learning method  ...  And the recommended music is indeed feasible and practical.  ...  As the deep learning hot rise, music recommendation algorithm based on content is a new development, and this paper proposes a new depth music recommendation method based on content, through the deep learning  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2021/9913727">doi:10.1155/2021/9913727</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6diknz2k5famlgaigurtcam2tu">fatcat:6diknz2k5famlgaigurtcam2tu</a> </span>
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Improved Music Recommendation Algorithm for Deep Neural Network Based on Attention Mechanism

Xin He, Wen Zhou
<span title="2022-06-24">2022</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/khqygtfojnby3jyh5obuwd7ko4" style="color: black;">Mobile Information Systems</a> </i> &nbsp;
Moreover, the traditional music recommendation algorithm only simply uses user behavior characteristics and does not make good use of user history for listening to audio characteristics.  ...  In order to save users the time to find their favorite music among many music types, the music recommendation service arises at the historic moment and is widely concerned by scholars.  ...  Unlike other machine learning, deep learning methods have multiple learning methods, which are divided into multiple representation levels, and each learning method can be composed of simple but nonlinear  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2022/4112575">doi:10.1155/2022/4112575</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/e2c23vwswbhqtiatqszvema2tu">fatcat:e2c23vwswbhqtiatqszvema2tu</a> </span>
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Towards Music Captioning: Generating Music Playlist Descriptions [article]

Keunwoo Choi and George Fazekas and Brian McFee and Kyunghyun Cho and Mark Sandler
<span title="2017-01-15">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this paper, we propose a method for generating music playlist descriptions, which is called as music captioning.  ...  Descriptions are often provided along with recommendations to help users' discovery.  ...  Journal of machine Learning research, 3(Jan):993-1022, 2003.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1608.04868v2">arXiv:1608.04868v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/knitoad3g5bodbcijow3hwk5zi">fatcat:knitoad3g5bodbcijow3hwk5zi</a> </span>
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Mostra: A Flexible Balancing Framework to Trade-off User, Artist and Platform Objectives for Music Sequencing [article]

Emanuele Bugliarello and Rishabh Mehrotra and James Kirk and Mounia Lalmas
<span title="2022-04-22">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Grounding the work across four objectives: Sat, Discovery, Exposure and Boost, we highlight the need and the potential to trade-off performance across these objectives, and propose Mostra, a Set Transformer-based  ...  We consider the task of sequencing tracks on music streaming platforms where the goal is to maximise not only user satisfaction, but also artist- and platform-centric objectives, needed to ensure long-term  ...  We use it as a proxy for user satisfaction and denote it as SAT. Music discovery: Users often have access to large repositories of music content with only a small fraction familiar to them.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2204.10463v1">arXiv:2204.10463v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wqgfxa56zfg3nmj2gh4fg5f6lu">fatcat:wqgfxa56zfg3nmj2gh4fg5f6lu</a> </span>
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Understandable models Of music collections based on exhaustive feature generation with temporal statistics

Fabian Moerchen, Ingo Mierswa, Alfred Ultsch
<span title="">2006</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fqqihtxlu5bvfaqxjyvqcob35a" style="color: black;">Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD &#39;06</a> </i> &nbsp;
We present an approach that combines large scale feature generation with meta learning techniques to obtain meaningful features for musical similarity.  ...  Important applications include the categorization of songs into genres and the recommendation of songs according to musical similarity and the customer's musical preferences.  ...  Artist and genre classification or retrieval of similar music can be performed with machine learning methods utilizing these features.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1150402.1150523">doi:10.1145/1150402.1150523</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/kdd/MorchenMU06.html">dblp:conf/kdd/MorchenMU06</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mevp2vcik5dpnmrnhcmvpykpvm">fatcat:mevp2vcik5dpnmrnhcmvpykpvm</a> </span>
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