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Dissertations / Theses on the topic 'Playlists'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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1

Costa, Francisco Manuel Ramos. "Geração automática de “playlists” de músicas semelhantes." Master's thesis, Faculdade de Ciências e Tecnologia, 2009. http://hdl.handle.net/10362/10562.

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Dissertação de Mestrado em Engenharia Informática<br>Os avanços tecnológicos em compressão de áudio e em redes de computadores possibilitaram um acréscimo significativo na disponibilidade da música. Lidar com colecções de músicas de grandes dimensões torna a pesquisa de músicas semelhantes num aspecto cada vez mais importante. De forma a comparar músicas, são usadas medidas de distância para medir a semelhança entre duas músicas, com base em descritores extraídos do conteúdo musical. Infelizmente os métodos actuais para o cálculo de semelhança de músicas em grandes quantidades são basta
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2

Rochow, Kathrin. "“Show me your playlist and I tell you who you are” : An investigation of the social psychological foundation of musical playlists." Thesis, Uppsala universitet, Sociologiska institutionen, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-176519.

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In the age of social networking and music streaming, playlists are a common tool for organizing,sharing or exchanging music in the digital realm. Most research, however, emphasizes mainlypolitical, legal, and ethical constraints of music sharing practices yet, neglects their social impact.Thus, this paper investigates the social-psychological foundation of the playlist and analyses itsfunctionality in establishing social relations and communication. Following the theories of Cooley,Mead, Simmel and Solomon, I conducted and analysed interviews with young Swedish men andwomen, in which they talk
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3

Bautch, Katie A. "The Effect of Therapeutic Music Playlists on Symptoms of Anxiety: A Clinical Trial." Scholarly Commons, 2021. https://scholarlycommons.pacific.edu/uop_etds/3735.

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This is a pilot study examining the comparative effectiveness of self-administered therapeutic playlists in the treatment of anxiety symptoms. Interventions examined during this study include the musical contour regulation playlist (MCR-P) and a one-directional mood vectoring playlist (MV-P). Measures included the Spielberger State Trait Anxiety Inventory (STAI), and a Likert-type scale for participants to rate their pre- to post-listening levels of anxiety. At the conclusion of the study, participants took part in an interview which were analyzed for data that could help inform for whom the M
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4

AMARAL, Vítor de Souza. "Geração automática de playlists: entendendo as percepções e expectativas de criadores humanos." Universidade Federal de Campina Grande, 2016. http://dspace.sti.ufcg.edu.br:8080/jspui/handle/riufcg/677.

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Submitted by Kilvya Braga (kilvyabraga@hotmail.com) on 2018-05-15T13:27:13Z No. of bitstreams: 1 VÍTOR DE SOUZA AMARAL - DISSERTAÇÃO (PPGCC) 2016.pdf: 474505 bytes, checksum: a4f88444155adc7bb62c7035f928a20b (MD5)<br>Made available in DSpace on 2018-05-15T13:27:13Z (GMT). No. of bitstreams: 1 VÍTOR DE SOUZA AMARAL - DISSERTAÇÃO (PPGCC) 2016.pdf: 474505 bytes, checksum: a4f88444155adc7bb62c7035f928a20b (MD5) Previous issue date: 2016<br>Capes<br>Uma playlist pode ser definida como qualquer sequência de músicas para ser executada tipicamente de forma ordenada sem que seja necessário ao usuá
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Boone, Will Katz Mark. "Composing playlists, conducting streams the life of classical music in the internet age /." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2008. http://dc.lib.unc.edu/u?/etd,1819.

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Thesis (M.A.)--University of North Carolina at Chapel Hill, 2008.<br>Title from electronic title page (viewed Dec. 11, 2008). "... in partial fulfillment of the requirements for the degree of Master of Arts in the Department of Music." Discipline: Music; Department/School: Music.
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Bautch, Katie A. "Feasibility and Effectiveness of Self-Administered Mood Vectoring Playlists in the Treatment of Anxiety Symptoms." Scholarly Commons, 2021. https://scholarlycommons.pacific.edu/uop_etds/3736.

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This is a mixed-methods pre-experimental clinical effectiveness trial that examines the effectiveness of a self-administered one-directional mood vectoring playlist in the management of symptoms of anxiety. This study used the Spielberger State Trait Anxiety Inventory, as well as a self-report Likert-type scale where participants rated their anxiety symptom severity, to explore the impact of the playlist intervention. Qualitative interviews sought to identify themes common among participants who were daily high responders and those who were daily low responders to the intervention in order to
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7

Dutra, Alex Amorim. "Explorando dados públicos de programação de rádios e playlists na web para recomendação em música." reponame:Repositório Institucional da UFOP, 2014. http://www.repositorio.ufop.br/handle/123456789/4214.

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Programa de Pós-Graduação em Ciência da Computação. Departamento de Ciência da Computação, Instituto de Ciências Exatas e Biológicas, Universidade Federal de Ouro Preto.<br>Submitted by Oliveira Flávia (flavia@sisbin.ufop.br) on 2015-01-12T15:49:36Z No. of bitstreams: 2 license_rdf: 22190 bytes, checksum: 19e8a2b57ef43c09f4d7071d2153c97d (MD5) DISSERTAÇÃO_ExplorandoDadosPúblicos.pdf: 1429209 bytes, checksum: 6d9ace1ed2b65c1e0e50def4785c2592 (MD5)<br>Approved for entry into archive by Gracilene Carvalho (gracilene@sisbin.ufop.br) on 2015-01-15T17:22:26Z (GMT) No. of bitstreams: 2 license_rdf:
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8

Aalto, Erik. "Learning Playlist Representations for Automatic Playlist Generation." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-172845.

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Spotify is currently the worlds leading music streaming ser-vice. As the leader in music streaming the task of providing listeners with music recommendations is vital for Spotify. Listening to playlists is a popular way of consuming music, but traditional recommender systems tend to fo-cus on suggesting songs, albums or artists rather than pro-viding consumers with playlists generated for their needs. This thesis presents a scalable and generalizeable approach to music recommendation that performs song selection for the problem of playlist generation. The approach selects tracks related to a p
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9

Meadley, Sam. "Automatic playlist generation using measurements of musical similarity /." Leeds : University of Leeds, School of Computer Studies, 2008. http://www.comp.leeds.ac.uk/fyproj/reports/0708/Meadley.pdf.

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10

Fields, Benjamin. "Contextualize your listening : the playlist as recommendation engine." Thesis, Goldsmiths College (University of London), 2011. http://research.gold.ac.uk/6477/.

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It is not hyperbole to note that a revolution has occurred in the way that we as a society distribute data and information. This revolution has come about through the confluence of Web-related technologies and the approaching universal adoption of internet connectivity. Add to this mix the normalised use of lossy compression in digital music and the increase in digital music download and streaming services; the result is an environment where nearly anyone can listen to nearly any piece of music nearly anywhere. This is in many respects the pinnacle in music access and availability. Yet, a list
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11

Bennett, Jack. "A Scalable Recommender System for Automatic Playlist Continuation." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15822.

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As major companies like Spotify, Deezer and Tidal look to improve their music streamingproducts, they repeatedly opt for features that engage with users and lead to a morepersonalised user experience. Automatic playlist continuation enables these platforms tosupport their users with a seamless and smooth interface to enjoy music, own their experience,and discover new songs and artists.This report details a recommender system that enables automatic playlist continuation;providing the recommendation of music tracks to users who are creating new playlists or curatingexisting ones. The recommendat
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12

Padua, Daniel A. "The Family 'Playlist': Popular music, age and identity." Thesis, Queensland University of Technology, 2017. https://eprints.qut.edu.au/110533/1/Daniel_Padua_Thesis.pdf.

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Popular music is central to the understanding of youth culture and has come to represent the so-called 'generation gap'. This thesis, however, argues that popular music is no longer just a signifier of generational tension. It is now an increasingly significant cultural resource that allows parents and their children to establish and maintain family relations. Using interviews from families who are fans of Queen or Taylor Swift, this research investigates how shared practices around popular music consumption contribute to a cohesive family identity.
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13

Gkatzioura, Anna. "A hybrid approach for item collection recommendations : an application to automatic playlist continuation." Doctoral thesis, Universitat Politècnica de Catalunya, 2018. http://hdl.handle.net/10803/664040.

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Current recommender systems aim mainly to generate accurate item recommendations, without properly evaluating the multiple dimensions of the recommendation problem. However, in many domains, like in music, where items are rarely consumed in isolation, users would rather need a set of items, designed to work well together, while having some cognitive properties as a whole, related to their perception of quality and satisfaction. In this thesis, a hybrid case-based recommendation approach for item collections is proposed. In particular, an application to automatic playlist continuation, address
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14

Busnyuk, Alexander. "Soundtrack of Consumption : An exploratory study of Spotify playlist’s potential use for commercial purposes." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-157733.

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There are not a lot things that can be enjoyed by so many people as music. It is one of the few activities that crosses cultures, generations, social classes and languages. Music is also a natural part of marketing and is used in a variety of ways such as commercials, in-store music, brand collaborations and more. This report investigates the potential of Spotify’s music streaming platform for use in the field of marketing. Spotify has since its’ launch in 2006 grown to be one of the largest consumer streaming services, and publically launched a business orientated service in 2014. With a user
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15

Sedlařík, Vladimír. "Informační strategie firmy." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2012. http://www.nusl.cz/ntk/nusl-223526.

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This thesis analyzes the YouTube service and describes its main deficiencies. Based on theoretical methods and analyses, its main goal is to design a service that will solve the main YouTube problems, build a company around this service and introduce this service to the market. This service will not replace YouTube, but it will supplement it. Further, this work will suggest a possible structure, strategy and information strategy of this new company and its estimated financial results in the first few years.
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Srnec, Tomáš. "Testování protokolů pro video na vyžádání v programu Apache JMeter." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2018. http://www.nusl.cz/ntk/nusl-377133.

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The master’s thesis deals with testing the application protocol HLS and RTSP in JMeter program. The aim of this thesis is to design and implement a test modules for both protocols, which will perform stress tests. The first part of thesis describes the types of stress tests, JMeter program for performance testing and video on demand services. Next chapter describes selected protokols, especially HLS and RTSP, which are used in this thesis. The practical part contains the design and implementation of test modules including test plans. Finally, the results are processed and commented.
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17

van, der Veen Jon. "Participatory Listmaking: Encyclopedic Lists, Evaluative Lists, Playlists." Thesis, 2012. http://spectrum.library.concordia.ca/974950/1/Vanderveen_PhD_S2013.pdf.

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Lists tend to be treated in media studies as “pre-text”, “con-text”, or “para-text”, but rarely in a focused and tailored manner as “text”. One reason for this, I suggest, is rooted in the list form’s ambiguous constitution as both the multiple individuated items in the list as well as the singular ground onto which they are drawn together, accounting for a paradoxical quality that confers upon the list form both its heady participatory capacities and more limiting “granular” semiotic capacities. Defining a list most generally as “a category, communicated”, this dissertation identifies and exp
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18

"Representation, Exploration, and Recommendation of Music Playlists." Master's thesis, 2019. http://hdl.handle.net/2286/R.I.54843.

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abstract: Playlists have become a significant part of the music listening experience today because of the digital cloud-based services such as Spotify, Pandora, Apple Music. Owing to the meteoric rise in usage of playlists, recommending playlists is crucial to music services today. Although there has been a lot of work done in playlist prediction, the area of playlist representation hasn't received that level of attention. Over the last few years, sequence-to-sequence models, especially in the field of natural language processing have shown the effectiveness of learned embeddings in capturing
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19

Lin, Chia-Jui, and 林家瑞. "Embedding of Playlists for Music Recommendation by Optimizing Non-smooth Cost Function." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/42709016811258161691.

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碩士<br>國立臺灣大學<br>資訊網路與多媒體研究所<br>104<br>In the present, there are millions of songs in the world. Some cloud-based music services (e.g. Youtube, Spotify and Apple Music) gather songs and provide a friendly user interface to consumers. As the appearance of the ser- vices, it can help consumers to explore the large set of songs. In order to satisfy the preference of consumers, a good recommendation method is nec- essary. There are many scholarly works focused on the related topic in music recommendation. To check the performance of different models are good or not, the evaluation metric is used in
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20

Moschetta, Pedro Henrique. "O consumo de música na era do streaming: práticas de curadoria musical no Spotify." Master's thesis, 2017. http://hdl.handle.net/10071/14600.

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O streaming permite o acesso sob demanda a um acervo gigantesco de músicas que ficam armazenadas em um servidor remoto, não sendo necessário descarregar ou salvar os arquivos para o dispositivo. Por muito tempo, o consumo de músicas esteve limitado ao que era vendido nas lojas ou promovido pelos meios de comunicação em massa. Com a internet, a eliminação das barreiras físicas reduziu os custos de acesso e distribuição, permitindo o consumo de itens menos populares, não deixando os ouvintes limitados apenas aos hits. Neste contexto, a curadoria serve como uma forma de lidar com a abundânci
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Salvador, Tiago Emanuel Almeida. "Content Management Mobile Application using a Metadata Cloud Server." Master's thesis, 2015. http://hdl.handle.net/10316/97333.

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Dissertação de Mestrado em Engenharia Informática apresentada à Faculdade de Ciências e Tecnologia da Universidade de Coimbra.<br>The dissertation proposed subject is an implementation of a Metadata Cloud Server, which can communicate with clients and process Metadata from given contents and show this information in state of the art and innovative ways. The contents can be stored in different kinds of services, with a focus on Dropbox for this project. These types of content are crucial in people’s lives in terms of culture and entertainment and how they are managed is important. By extra
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Lai, Ya-Chao, and 賴雅昭. "Automaic Playlist Generation by Applying Tabu Search." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/54423813152069105266.

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碩士<br>輔仁大學<br>資訊工程學系<br>97<br>In this thesis, we discuss the problem of playlist generation. To capture a user’s listening preference and recommend a meaningful playlist, we apply the sequential pattern mining with multiple minimum supports algorithm (MMS-PS) to generate constraints. Given a set of generated constraints, we apply Tabu Search to generate playlists which match constraints as much as possible. Finally, we implement our prototype and carry out experiments.
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Shuk-Chun, Chung, and 鍾淑珍. "Constraint-based Playlist Generation by Applying Genetic Algorithm." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/61447158871803584315.

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碩士<br>輔仁大學<br>資訊工程學系<br>96<br>In this thesis, we propose a formal model of playlist generation and define three types of constraints, i.e., parameter-specified constraints, derived constraints, and user-defined constraints. Some constraints can be derived through the user behaviour and the user interaction. Given a set of constraints, we apply a genetic algorithm to generate a playlist which optimizes the number of matched constraints. We also implement our prototype, and perform experiments to show the feasibility, efficiency and effectiveness of prototype.
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24

Yang, Chun Yao, and 楊淳堯. "Learning user music listening logs for music playlist recommendation." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/qqygmr.

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碩士<br>國立政治大學<br>資訊科學學系<br>106<br>Music playlist is crafted with a series of songs, in which the playlist creator has controlled over the vibe, tempo, theme, and all the ebbs and flows that come within the playlist. To provide a personalization service to users and discover suitable playlists among lots of data, we need an effective way to achieve this goal. In this paper, we modify a representation learning method for learning the representation of a playlist of songs, and then use the representation for recommending playlists to users. While there have been some well-known methods that can mo
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Lai, Szu-Wei, and 廖偲惟. "An intelligent music playlist recommendation based on the time parameter." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/72914113646224061090.

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碩士<br>國立屏東科技大學<br>資訊管理系所<br>97<br>The digital music is booming through rapid expansion of Internet. Users can listen to their favorite songs via web all the time. The electronic commerce leads to development of the recommendation system, which enhances the desire of music buying for customers. The online music recommendation system usually grabs the historical record from past listeners. With extensive data analysis or statistical means, the system recommends the popular music to others. However, users’ demand is far beyond that because their choice or change of listening behaviors is often af
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Wei, Yin-Hsuan, and 魏吟軒. "Time-dependent Personalized Music Playlist Generation from Implicit User Feedback." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/64754070654865689543.

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碩士<br>國立臺灣大學<br>資訊工程學研究所<br>99<br>Recommendation is essential to the issue of information overload. Many literatures have proposed great models for this problem, but the majority still focuses on explicit rating data. Due to the characteristics of music, we think that implicit user feedback is more valuable and useful. In this thesis, we process the problem of recommendation in a different aspect, out of the ordinary matrix factorization or k-nearest neighbor methods. We treat recommendation as a binary classification and ranking problem, and apply features covering three parts: global, cluste
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Cyuan-FanHong and 洪銓汎. "Design and Implementation of Integrated Playlist Management System with Embedded Beacon." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/7mtx3j.

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碩士<br>國立成功大學<br>電腦與通信工程研究所<br>106<br>SUMMARY As the music streaming platform grows vigorously, there’re more and more users manage and view the media through websites or on their mobile devices. With people collecting and managing the media they like, and the development of social network boosting the value of interaction and sharing among people, streaming platforms start to provide the features of exchange for media, as well as playlists, and to improve the management of these streams. In this paper, we focus on the management and exchange of music, media, and playlists, implementing a sim
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Nielsen, Teresa Raynor. "Teen playlist: music discovery, production, and sharing among a group of high school students." Thesis, 2016. https://hdl.handle.net/2144/19561.

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The purpose of this investigation was to determine if a select group of adolescents exhibited behaviors and practices regarding digital music discovery, production, and sharing that influenced their classroom music instruction. The qualitative study focused on ways in which a group of adolescents informally engaged with digital music in relationship to learning music in their classroom. A constructivist–interpretivist viewpoint framed the theoretical perspective that a person’s knowledge constructions take place within the context of social interaction. In the early 21st century, young people
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Кузьо, Олег Олегович, та Oleg Kuzo. "Розробка інформаційної системи для моніторингу музичних вподобань користувачів стрімінгових сервісів". Bachelor's thesis, 2021. http://elartu.tntu.edu.ua/handle/lib/35714.

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Кваліфікаційна робота присвячена вирішенню проблеми користувача стрімінгового сервісу по аналізу його музичних вподобань. Мета роботи: створити інформаційну систему для аналізу музичних вподобань користувачів стрімінгових сервісів. В першому розділі кваліфікаційної роботи описано предмет дослідження, визначені основні складові для оцінки музичного смаку користувачів, проведено визначення необхідного функціоналу кінцевого продукту на основі існуючих аналогів, та обрано оптимальні рішення для розробки кінцевого продукту. В другому розділі кваліфікаційної роботи детально описані етапи проектува
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Maillet, François. "Algorithmes de recommandation musicale." Thèse, 2009. http://hdl.handle.net/1866/3875.

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Ce mémoire est composé de trois articles qui s’unissent sous le thème de la recommandation musicale à grande échelle. Nous présentons d’abord une méthode pour effectuer des recommandations musicales en récoltant des étiquettes (tags) décrivant les items et en utilisant cette aura textuelle pour déterminer leur similarité. En plus d’effectuer des recommandations qui sont transparentes et personnalisables, notre méthode, basée sur le contenu, n’est pas victime des problèmes dont souffrent les systèmes de filtrage collaboratif, comme le problème du démarrage à froid (cold start
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