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You searched for subject:(Music Recommendation). Showing records 1 – 30 of 34 total matches.

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Tampere University

1. Kaitila, Juuso. A content-based music recommender system .

Degree: 2017, Tampere University

Music recommenders have become increasingly relevant due to increased accessibility provided by various music streaming services. Some of these streaming services, such as Spotify, include… (more)

Subjects/Keywords: music recommendation; recommender system; music information retrieval; content-based recommendation; music similarity

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kaitila, J. (2017). A content-based music recommender system . (Masters Thesis). Tampere University. Retrieved from https://trepo.tuni.fi/handle/10024/101198

Chicago Manual of Style (16th Edition):

Kaitila, Juuso. “A content-based music recommender system .” 2017. Masters Thesis, Tampere University. Accessed April 08, 2020. https://trepo.tuni.fi/handle/10024/101198.

MLA Handbook (7th Edition):

Kaitila, Juuso. “A content-based music recommender system .” 2017. Web. 08 Apr 2020.

Vancouver:

Kaitila J. A content-based music recommender system . [Internet] [Masters thesis]. Tampere University; 2017. [cited 2020 Apr 08]. Available from: https://trepo.tuni.fi/handle/10024/101198.

Council of Science Editors:

Kaitila J. A content-based music recommender system . [Masters Thesis]. Tampere University; 2017. Available from: https://trepo.tuni.fi/handle/10024/101198


NSYSU

2. Liang, Jhen-yi. Combining Content-base and Collaborative Filtering Methods for Music Recommendation.

Degree: Master, Information Management, 2014, NSYSU

 With the music signal processing and network development, people can listen to music not only CDs, radio but also mobile devices, even more, online streaming.… (more)

Subjects/Keywords: Music Information Retrieval; Matrix Decomposition; Recommendation System; Collaborative Filtering; Music Tags

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Liang, J. (2014). Combining Content-base and Collaborative Filtering Methods for Music Recommendation. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0812113-095859

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Liang, Jhen-yi. “Combining Content-base and Collaborative Filtering Methods for Music Recommendation.” 2014. Thesis, NSYSU. Accessed April 08, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0812113-095859.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Liang, Jhen-yi. “Combining Content-base and Collaborative Filtering Methods for Music Recommendation.” 2014. Web. 08 Apr 2020.

Vancouver:

Liang J. Combining Content-base and Collaborative Filtering Methods for Music Recommendation. [Internet] [Thesis]. NSYSU; 2014. [cited 2020 Apr 08]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0812113-095859.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liang J. Combining Content-base and Collaborative Filtering Methods for Music Recommendation. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0812113-095859

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


San Jose State University

3. Duggirala, Sharan. An Industry Driven Genre Classification Application using Natural Language Processing.

Degree: MS, Computer Science, 2019, San Jose State University

  With the advent of digitized music, many online streaming companies such as Spotify have capitalized on a listener’s need for a common stream platform.… (more)

Subjects/Keywords: music recommendation; music genre classification; Hierarchical Attention Networks; Computer Sciences

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Duggirala, S. (2019). An Industry Driven Genre Classification Application using Natural Language Processing. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.gyyw-7de5 ; https://scholarworks.sjsu.edu/etd_projects/737

Chicago Manual of Style (16th Edition):

Duggirala, Sharan. “An Industry Driven Genre Classification Application using Natural Language Processing.” 2019. Masters Thesis, San Jose State University. Accessed April 08, 2020. https://doi.org/10.31979/etd.gyyw-7de5 ; https://scholarworks.sjsu.edu/etd_projects/737.

MLA Handbook (7th Edition):

Duggirala, Sharan. “An Industry Driven Genre Classification Application using Natural Language Processing.” 2019. Web. 08 Apr 2020.

Vancouver:

Duggirala S. An Industry Driven Genre Classification Application using Natural Language Processing. [Internet] [Masters thesis]. San Jose State University; 2019. [cited 2020 Apr 08]. Available from: https://doi.org/10.31979/etd.gyyw-7de5 ; https://scholarworks.sjsu.edu/etd_projects/737.

Council of Science Editors:

Duggirala S. An Industry Driven Genre Classification Application using Natural Language Processing. [Masters Thesis]. San Jose State University; 2019. Available from: https://doi.org/10.31979/etd.gyyw-7de5 ; https://scholarworks.sjsu.edu/etd_projects/737

4. Canhoto, Vicente. Recomendação de música: comparação entre collaborative filtering e context filtering.

Degree: 2013, RCAAP

Mestrado em Gestão de Sistemas de Informação

A massificação de serviços de música online democratizou o acesso a milhões de músicas. No entanto, é impossível… (more)

Subjects/Keywords: Sistema de recomendação; Recomendação de música; Collaborative filtering; Recomendação baseada no contexto; Context pre-filtering; Comparação de sistemas de recomendação; Recommendation system; Music recommendation; Context-based recommendation,; Recommendation systems comparison

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Canhoto, V. (2013). Recomendação de música: comparação entre collaborative filtering e context filtering. (Thesis). RCAAP. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:repositorio.iscte-iul.pt:10071/8062

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Canhoto, Vicente. “Recomendação de música: comparação entre collaborative filtering e context filtering.” 2013. Thesis, RCAAP. Accessed April 08, 2020. https://www.rcaap.pt/detail.jsp?id=oai:repositorio.iscte-iul.pt:10071/8062.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Canhoto, Vicente. “Recomendação de música: comparação entre collaborative filtering e context filtering.” 2013. Web. 08 Apr 2020.

Vancouver:

Canhoto V. Recomendação de música: comparação entre collaborative filtering e context filtering. [Internet] [Thesis]. RCAAP; 2013. [cited 2020 Apr 08]. Available from: https://www.rcaap.pt/detail.jsp?id=oai:repositorio.iscte-iul.pt:10071/8062.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Canhoto V. Recomendação de música: comparação entre collaborative filtering e context filtering. [Thesis]. RCAAP; 2013. Available from: https://www.rcaap.pt/detail.jsp?id=oai:repositorio.iscte-iul.pt:10071/8062

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

5. Andjelkovic, Ivana. Interactive Latent Space for Mood-Based Music Recommendation.

Degree: 2015, University of California – eScholarship, University of California

 The way we listen to music has been changing fundamentally in past two decades with the increasing availability of digital recordings and portability of music(more)

Subjects/Keywords: Computer science; Music; Emotion-aware Systems; Interactive Interfaces; Mood Models; Music Recommendation; Personalized Music Systems

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Andjelkovic, I. (2015). Interactive Latent Space for Mood-Based Music Recommendation. (Thesis). University of California – eScholarship, University of California. Retrieved from http://www.escholarship.org/uc/item/2sb1q6j1

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Andjelkovic, Ivana. “Interactive Latent Space for Mood-Based Music Recommendation.” 2015. Thesis, University of California – eScholarship, University of California. Accessed April 08, 2020. http://www.escholarship.org/uc/item/2sb1q6j1.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Andjelkovic, Ivana. “Interactive Latent Space for Mood-Based Music Recommendation.” 2015. Web. 08 Apr 2020.

Vancouver:

Andjelkovic I. Interactive Latent Space for Mood-Based Music Recommendation. [Internet] [Thesis]. University of California – eScholarship, University of California; 2015. [cited 2020 Apr 08]. Available from: http://www.escholarship.org/uc/item/2sb1q6j1.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Andjelkovic I. Interactive Latent Space for Mood-Based Music Recommendation. [Thesis]. University of California – eScholarship, University of California; 2015. Available from: http://www.escholarship.org/uc/item/2sb1q6j1

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


NSYSU

6. Tsai, Meng-chang. A User-Interests Approach to Music Recommendation Systems.

Degree: Master, Computer Science and Engineering, 2010, NSYSU

 In recent years, music has become increasingly universal due to technological advances. All kinds of music have become more complex and a large amount around… (more)

Subjects/Keywords: Weight; Music Recommendation System; User Interest; Transaction; Count

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tsai, M. (2010). A User-Interests Approach to Music Recommendation Systems. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0618110-165220

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Tsai, Meng-chang. “A User-Interests Approach to Music Recommendation Systems.” 2010. Thesis, NSYSU. Accessed April 08, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0618110-165220.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Tsai, Meng-chang. “A User-Interests Approach to Music Recommendation Systems.” 2010. Web. 08 Apr 2020.

Vancouver:

Tsai M. A User-Interests Approach to Music Recommendation Systems. [Internet] [Thesis]. NSYSU; 2010. [cited 2020 Apr 08]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0618110-165220.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tsai M. A User-Interests Approach to Music Recommendation Systems. [Thesis]. NSYSU; 2010. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0618110-165220

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

7. Aalto, Erik. Learning Playlist Representations for Automatic Playlist Generation.

Degree: Computer Science and Communication (CSC), 2015, KTH

  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… (more)

Subjects/Keywords: Playlist generation; machine learning; music recommendation; Computer Sciences; Datavetenskap (datalogi)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Aalto, E. (2015). Learning Playlist Representations for Automatic Playlist Generation. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-172845

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Aalto, Erik. “Learning Playlist Representations for Automatic Playlist Generation.” 2015. Thesis, KTH. Accessed April 08, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-172845.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Aalto, Erik. “Learning Playlist Representations for Automatic Playlist Generation.” 2015. Web. 08 Apr 2020.

Vancouver:

Aalto E. Learning Playlist Representations for Automatic Playlist Generation. [Internet] [Thesis]. KTH; 2015. [cited 2020 Apr 08]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-172845.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Aalto E. Learning Playlist Representations for Automatic Playlist Generation. [Thesis]. KTH; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-172845

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Minnesota

8. Kumar, Vikas. Exploring the Balance Between Novelty and Familiarity in Recommendation Systems.

Degree: PhD, Computer Science, 2018, University of Minnesota

 The balance users seek between the comfort of familiar recommendations and the excitement they solicit in novel ones is a challenge for recommendation systems. On… (more)

Subjects/Keywords: adaptive recommendations; local and tourists; music recommendations; novelty; recommendation systems

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kumar, V. (2018). Exploring the Balance Between Novelty and Familiarity in Recommendation Systems. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/201159

Chicago Manual of Style (16th Edition):

Kumar, Vikas. “Exploring the Balance Between Novelty and Familiarity in Recommendation Systems.” 2018. Doctoral Dissertation, University of Minnesota. Accessed April 08, 2020. http://hdl.handle.net/11299/201159.

MLA Handbook (7th Edition):

Kumar, Vikas. “Exploring the Balance Between Novelty and Familiarity in Recommendation Systems.” 2018. Web. 08 Apr 2020.

Vancouver:

Kumar V. Exploring the Balance Between Novelty and Familiarity in Recommendation Systems. [Internet] [Doctoral dissertation]. University of Minnesota; 2018. [cited 2020 Apr 08]. Available from: http://hdl.handle.net/11299/201159.

Council of Science Editors:

Kumar V. Exploring the Balance Between Novelty and Familiarity in Recommendation Systems. [Doctoral Dissertation]. University of Minnesota; 2018. Available from: http://hdl.handle.net/11299/201159


University of Rochester

9. Ren, Gang. Computational modeling of musical performance expression: feature extraction, pattern analysis, and applications.

Degree: PhD, 2016, University of Rochester

 In this thesis we investigate the extraction and analysis of musical expressive features from recorded music. Musical expressive features are signal features in audio recordings… (more)

Subjects/Keywords: Feature Extraction; Musical performance; Music information retrieval; Music recommendation; Pattern analysis; Signal processing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ren, G. (2016). Computational modeling of musical performance expression: feature extraction, pattern analysis, and applications. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/30854

Chicago Manual of Style (16th Edition):

Ren, Gang. “Computational modeling of musical performance expression: feature extraction, pattern analysis, and applications.” 2016. Doctoral Dissertation, University of Rochester. Accessed April 08, 2020. http://hdl.handle.net/1802/30854.

MLA Handbook (7th Edition):

Ren, Gang. “Computational modeling of musical performance expression: feature extraction, pattern analysis, and applications.” 2016. Web. 08 Apr 2020.

Vancouver:

Ren G. Computational modeling of musical performance expression: feature extraction, pattern analysis, and applications. [Internet] [Doctoral dissertation]. University of Rochester; 2016. [cited 2020 Apr 08]. Available from: http://hdl.handle.net/1802/30854.

Council of Science Editors:

Ren G. Computational modeling of musical performance expression: feature extraction, pattern analysis, and applications. [Doctoral Dissertation]. University of Rochester; 2016. Available from: http://hdl.handle.net/1802/30854

10. Hu, Yajie. A Model-Based Music Recommendation System for Individual Users and Implicit User Groups.

Degree: PhD, Computer Science (Arts and Sciences), 2014, University of Miami

 This dissertation introduces several problems on music recommendation. To make a high-qualified recommender, we evaluate feature importance for favorite song detection from two perspectives. The… (more)

Subjects/Keywords: Music Recommendation; Genre Classification; Feature Selection; Ranking for Music Recommendation

music recommendation . . . . . . . . . . . . . . 25 2.2.4 Recommendation for user groups… …43 4 Music Recommendation for Individual Users . . . . . . . . . . 44 3.2 3.3 4.1… …81 6 Music Recommendation for Implicit User Groups . . . . . . . 83 5.6 6.1 Group… …music recommendation method 6.1.1 . . . . . . . . . . . . . . 86 Rating prediction model… …96 6.2 6.3 vii LIST OF TABLES Table Page 1 Papers related to music recommendation… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hu, Y. (2014). A Model-Based Music Recommendation System for Individual Users and Implicit User Groups. (Doctoral Dissertation). University of Miami. Retrieved from https://scholarlyrepository.miami.edu/oa_dissertations/1194

Chicago Manual of Style (16th Edition):

Hu, Yajie. “A Model-Based Music Recommendation System for Individual Users and Implicit User Groups.” 2014. Doctoral Dissertation, University of Miami. Accessed April 08, 2020. https://scholarlyrepository.miami.edu/oa_dissertations/1194.

MLA Handbook (7th Edition):

Hu, Yajie. “A Model-Based Music Recommendation System for Individual Users and Implicit User Groups.” 2014. Web. 08 Apr 2020.

Vancouver:

Hu Y. A Model-Based Music Recommendation System for Individual Users and Implicit User Groups. [Internet] [Doctoral dissertation]. University of Miami; 2014. [cited 2020 Apr 08]. Available from: https://scholarlyrepository.miami.edu/oa_dissertations/1194.

Council of Science Editors:

Hu Y. A Model-Based Music Recommendation System for Individual Users and Implicit User Groups. [Doctoral Dissertation]. University of Miami; 2014. Available from: https://scholarlyrepository.miami.edu/oa_dissertations/1194

11. WANG XINXI. Interactive Music Recommendation: Context,Content and Collaborative Filtering.

Degree: 2014, National University of Singapore

Subjects/Keywords: music recommendation; recommendation system; music content analysis; machine learning; context-aware; mobile

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

XINXI, W. (2014). Interactive Music Recommendation: Context,Content and Collaborative Filtering. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/119500

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

XINXI, WANG. “Interactive Music Recommendation: Context,Content and Collaborative Filtering.” 2014. Thesis, National University of Singapore. Accessed April 08, 2020. http://scholarbank.nus.edu.sg/handle/10635/119500.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

XINXI, WANG. “Interactive Music Recommendation: Context,Content and Collaborative Filtering.” 2014. Web. 08 Apr 2020.

Vancouver:

XINXI W. Interactive Music Recommendation: Context,Content and Collaborative Filtering. [Internet] [Thesis]. National University of Singapore; 2014. [cited 2020 Apr 08]. Available from: http://scholarbank.nus.edu.sg/handle/10635/119500.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

XINXI W. Interactive Music Recommendation: Context,Content and Collaborative Filtering. [Thesis]. National University of Singapore; 2014. Available from: http://scholarbank.nus.edu.sg/handle/10635/119500

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Florida International University

12. Shao, Bo. User-centric Music Information Retrieval.

Degree: Computer Science, 2011, Florida International University

  The rapid growth of the Internet and the advancements of the Web technologies have made it possible for users to have access to large… (more)

Subjects/Keywords: Music Information Retrieval; Data Mining; Machine Learning; Music Recommendation; Artist Similarity; Dynamic Weighting; Music Data Organization; Music Annotation; Music Analysis; Hierarchical Co-clustering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Shao, B. (2011). User-centric Music Information Retrieval. (Thesis). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/416 ; 10.25148/etd.FI11041508 ; FI11041508

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Shao, Bo. “User-centric Music Information Retrieval.” 2011. Thesis, Florida International University. Accessed April 08, 2020. https://digitalcommons.fiu.edu/etd/416 ; 10.25148/etd.FI11041508 ; FI11041508.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Shao, Bo. “User-centric Music Information Retrieval.” 2011. Web. 08 Apr 2020.

Vancouver:

Shao B. User-centric Music Information Retrieval. [Internet] [Thesis]. Florida International University; 2011. [cited 2020 Apr 08]. Available from: https://digitalcommons.fiu.edu/etd/416 ; 10.25148/etd.FI11041508 ; FI11041508.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Shao B. User-centric Music Information Retrieval. [Thesis]. Florida International University; 2011. Available from: https://digitalcommons.fiu.edu/etd/416 ; 10.25148/etd.FI11041508 ; FI11041508

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

13. Nysäter, Richard. Music discovery methods using perceptual features.

Degree: Computer Science and Communication (CSC), 2017, KTH

Perceptual features are qualitative features used to describe music properties in relation to human perception instead of typical musical theory concepts such as pitches… (more)

Subjects/Keywords: perceptual features; music information retrieval; k-pop; music discovery; music recommendation; MIR; music browser; music website; perceptuella särdrag; musikrekommendation; k-pop; musikhemsida; Computer Sciences; Datavetenskap (datalogi)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Nysäter, R. (2017). Music discovery methods using perceptual features. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-205886

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Nysäter, Richard. “Music discovery methods using perceptual features.” 2017. Thesis, KTH. Accessed April 08, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-205886.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Nysäter, Richard. “Music discovery methods using perceptual features.” 2017. Web. 08 Apr 2020.

Vancouver:

Nysäter R. Music discovery methods using perceptual features. [Internet] [Thesis]. KTH; 2017. [cited 2020 Apr 08]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-205886.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nysäter R. Music discovery methods using perceptual features. [Thesis]. KTH; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-205886

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Université de Montréal

14. Maillet, François. Algorithmes de recommandation musicale .

Degree: 2010, Université de Montréal

 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… (more)

Subjects/Keywords: Apprentissage automatique; Recommandation musicale; Similarité musicale; Application automatique d’étiquettes; Génération de liste d’écoute; Traitement de signal; Machine learning; Music recommendation; Music similarity; Automatic tagging of music; Playlist generation; Signal processing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Maillet, F. (2010). Algorithmes de recommandation musicale . (Thesis). Université de Montréal. Retrieved from http://hdl.handle.net/1866/3875

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Maillet, François. “Algorithmes de recommandation musicale .” 2010. Thesis, Université de Montréal. Accessed April 08, 2020. http://hdl.handle.net/1866/3875.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Maillet, François. “Algorithmes de recommandation musicale .” 2010. Web. 08 Apr 2020.

Vancouver:

Maillet F. Algorithmes de recommandation musicale . [Internet] [Thesis]. Université de Montréal; 2010. [cited 2020 Apr 08]. Available from: http://hdl.handle.net/1866/3875.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Maillet F. Algorithmes de recommandation musicale . [Thesis]. Université de Montréal; 2010. Available from: http://hdl.handle.net/1866/3875

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

15. ZHAO WEI. Utilizing EEG Signal in Music Information Retrieval.

Degree: 2010, National University of Singapore

Subjects/Keywords: Music Information Retrieval; Music Therapy; Sleep Quality Analysis; Emotion Recognition; Music recommendation; EEG

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

WEI, Z. (2010). Utilizing EEG Signal in Music Information Retrieval. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/19070

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

WEI, ZHAO. “Utilizing EEG Signal in Music Information Retrieval.” 2010. Thesis, National University of Singapore. Accessed April 08, 2020. http://scholarbank.nus.edu.sg/handle/10635/19070.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

WEI, ZHAO. “Utilizing EEG Signal in Music Information Retrieval.” 2010. Web. 08 Apr 2020.

Vancouver:

WEI Z. Utilizing EEG Signal in Music Information Retrieval. [Internet] [Thesis]. National University of Singapore; 2010. [cited 2020 Apr 08]. Available from: http://scholarbank.nus.edu.sg/handle/10635/19070.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

WEI Z. Utilizing EEG Signal in Music Information Retrieval. [Thesis]. National University of Singapore; 2010. Available from: http://scholarbank.nus.edu.sg/handle/10635/19070

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

16. ZHAO ZHEN DONG. Large scale music information retrieval by semantic tags.

Degree: 2010, National University of Singapore

Subjects/Keywords: Music; tag recommendation; explicit multiple attributes; search

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

DONG, Z. Z. (2010). Large scale music information retrieval by semantic tags. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/20934

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

DONG, ZHAO ZHEN. “Large scale music information retrieval by semantic tags.” 2010. Thesis, National University of Singapore. Accessed April 08, 2020. http://scholarbank.nus.edu.sg/handle/10635/20934.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

DONG, ZHAO ZHEN. “Large scale music information retrieval by semantic tags.” 2010. Web. 08 Apr 2020.

Vancouver:

DONG ZZ. Large scale music information retrieval by semantic tags. [Internet] [Thesis]. National University of Singapore; 2010. [cited 2020 Apr 08]. Available from: http://scholarbank.nus.edu.sg/handle/10635/20934.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

DONG ZZ. Large scale music information retrieval by semantic tags. [Thesis]. National University of Singapore; 2010. Available from: http://scholarbank.nus.edu.sg/handle/10635/20934

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

17. XING ZHE. Enhangcing Collaborative Filtering Music recommendation by Balancing Exploration and Exploitation.

Degree: 2014, National University of Singapore

Subjects/Keywords: music recommendation; collaborative filtering; reinforcement learning; Bayesian graphical model

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APA (6th Edition):

ZHE, X. (2014). Enhangcing Collaborative Filtering Music recommendation by Balancing Exploration and Exploitation. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/118258

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

ZHE, XING. “Enhangcing Collaborative Filtering Music recommendation by Balancing Exploration and Exploitation.” 2014. Thesis, National University of Singapore. Accessed April 08, 2020. http://scholarbank.nus.edu.sg/handle/10635/118258.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

ZHE, XING. “Enhangcing Collaborative Filtering Music recommendation by Balancing Exploration and Exploitation.” 2014. Web. 08 Apr 2020.

Vancouver:

ZHE X. Enhangcing Collaborative Filtering Music recommendation by Balancing Exploration and Exploitation. [Internet] [Thesis]. National University of Singapore; 2014. [cited 2020 Apr 08]. Available from: http://scholarbank.nus.edu.sg/handle/10635/118258.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

ZHE X. Enhangcing Collaborative Filtering Music recommendation by Balancing Exploration and Exploitation. [Thesis]. National University of Singapore; 2014. Available from: http://scholarbank.nus.edu.sg/handle/10635/118258

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

18. KARIM MAGDI ABDELFATTAH IBRAHIM. RECOMMENDING MUSIC FOR LANGUAGE LEARNING: THE PROBLEM OF SINGING VOICE INTELLIGIBILITY.

Degree: 2018, National University of Singapore

Subjects/Keywords: Music Information Retrieval; Singing Voice; Intelligibility; Music Recommendation; Language Learning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

IBRAHIM, K. M. A. (2018). RECOMMENDING MUSIC FOR LANGUAGE LEARNING: THE PROBLEM OF SINGING VOICE INTELLIGIBILITY. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/148567

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

IBRAHIM, KARIM MAGDI ABDELFATTAH. “RECOMMENDING MUSIC FOR LANGUAGE LEARNING: THE PROBLEM OF SINGING VOICE INTELLIGIBILITY.” 2018. Thesis, National University of Singapore. Accessed April 08, 2020. http://scholarbank.nus.edu.sg/handle/10635/148567.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

IBRAHIM, KARIM MAGDI ABDELFATTAH. “RECOMMENDING MUSIC FOR LANGUAGE LEARNING: THE PROBLEM OF SINGING VOICE INTELLIGIBILITY.” 2018. Web. 08 Apr 2020.

Vancouver:

IBRAHIM KMA. RECOMMENDING MUSIC FOR LANGUAGE LEARNING: THE PROBLEM OF SINGING VOICE INTELLIGIBILITY. [Internet] [Thesis]. National University of Singapore; 2018. [cited 2020 Apr 08]. Available from: http://scholarbank.nus.edu.sg/handle/10635/148567.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

IBRAHIM KMA. RECOMMENDING MUSIC FOR LANGUAGE LEARNING: THE PROBLEM OF SINGING VOICE INTELLIGIBILITY. [Thesis]. National University of Singapore; 2018. Available from: http://scholarbank.nus.edu.sg/handle/10635/148567

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universitat Pompeu Fabra

19. Herrera Boyer, Perfecto, 1964-. MIRages: an account of music audio extractors, semantic description and context-awareness, in the three ages of MIR.

Degree: Departament de Tecnologies de la Informació i les Comunicacions, 2018, Universitat Pompeu Fabra

 Aquesta tesi informa sobre recerca realitzada i publicada durant els últims vint anys en diferents problemes de Recuperació d'Informació Musical (MIR). Organitzem el text com… (more)

Subjects/Keywords: Music information retrieval; Audio analysis; Music analysis; Automatic classification of music; Semantic features; Audio features; Timbre; Music creation systems; Music recommendation; Cerca d’informació musical; Anàlisi del so; Classificació automàtica de música; Descriptors semàntics; Descriptors del so; Sistemes de creació musical; Recomanació musical; 62

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APA (6th Edition):

Herrera Boyer, Perfecto, 1. (2018). MIRages: an account of music audio extractors, semantic description and context-awareness, in the three ages of MIR. (Thesis). Universitat Pompeu Fabra. Retrieved from http://hdl.handle.net/10803/666953

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Herrera Boyer, Perfecto, 1964-. “MIRages: an account of music audio extractors, semantic description and context-awareness, in the three ages of MIR.” 2018. Thesis, Universitat Pompeu Fabra. Accessed April 08, 2020. http://hdl.handle.net/10803/666953.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Herrera Boyer, Perfecto, 1964-. “MIRages: an account of music audio extractors, semantic description and context-awareness, in the three ages of MIR.” 2018. Web. 08 Apr 2020.

Vancouver:

Herrera Boyer, Perfecto 1. MIRages: an account of music audio extractors, semantic description and context-awareness, in the three ages of MIR. [Internet] [Thesis]. Universitat Pompeu Fabra; 2018. [cited 2020 Apr 08]. Available from: http://hdl.handle.net/10803/666953.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Herrera Boyer, Perfecto 1. MIRages: an account of music audio extractors, semantic description and context-awareness, in the three ages of MIR. [Thesis]. Universitat Pompeu Fabra; 2018. Available from: http://hdl.handle.net/10803/666953

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Georgia Tech

20. Godfrey, Mark Thomas. Hubs and homogeneity: improving content-based music modeling.

Degree: MS, Music Technology, 2008, Georgia Tech

 With the volume of digital media available today, automatic music recommendation services have proven a useful tool for consumers, allowing them to better discover new… (more)

Subjects/Keywords: Music recommendation; Music similarity; Music modeling; Music; Artificial intelligence; Gaussian processes; Tone color (Music)

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APA (6th Edition):

Godfrey, M. T. (2008). Hubs and homogeneity: improving content-based music modeling. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/22572

Chicago Manual of Style (16th Edition):

Godfrey, Mark Thomas. “Hubs and homogeneity: improving content-based music modeling.” 2008. Masters Thesis, Georgia Tech. Accessed April 08, 2020. http://hdl.handle.net/1853/22572.

MLA Handbook (7th Edition):

Godfrey, Mark Thomas. “Hubs and homogeneity: improving content-based music modeling.” 2008. Web. 08 Apr 2020.

Vancouver:

Godfrey MT. Hubs and homogeneity: improving content-based music modeling. [Internet] [Masters thesis]. Georgia Tech; 2008. [cited 2020 Apr 08]. Available from: http://hdl.handle.net/1853/22572.

Council of Science Editors:

Godfrey MT. Hubs and homogeneity: improving content-based music modeling. [Masters Thesis]. Georgia Tech; 2008. Available from: http://hdl.handle.net/1853/22572


Université de Montréal

21. Arnautu, Octavian Rolland. Mures : Un système de recommandation de musique .

Degree: 2013, Université de Montréal

 Pendant la dernière décennie nous avons vu une transformation incroyable du monde de la musique qui est passé des cassettes et disques compacts à la… (more)

Subjects/Keywords: Systèmes de Recommandation de Musique; Filtrage Collaboratif; Filtrage a Base de Contenu; Flux RSS; Systèmes de Recommandation Hybrides; Filtrage Contextuel; Music Recommender Systems; Collaborative Filtering; Hybrid Recommendation; Context-Filtering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Arnautu, O. R. (2013). Mures : Un système de recommandation de musique . (Thesis). Université de Montréal. Retrieved from http://hdl.handle.net/1866/8961

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Arnautu, Octavian Rolland. “Mures : Un système de recommandation de musique .” 2013. Thesis, Université de Montréal. Accessed April 08, 2020. http://hdl.handle.net/1866/8961.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Arnautu, Octavian Rolland. “Mures : Un système de recommandation de musique .” 2013. Web. 08 Apr 2020.

Vancouver:

Arnautu OR. Mures : Un système de recommandation de musique . [Internet] [Thesis]. Université de Montréal; 2013. [cited 2020 Apr 08]. Available from: http://hdl.handle.net/1866/8961.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Arnautu OR. Mures : Un système de recommandation de musique . [Thesis]. Université de Montréal; 2013. Available from: http://hdl.handle.net/1866/8961

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Indian Institute of Science

22. Sharma, Govind. Sentiment-Driven Topic Analysis Of Song Lyrics.

Degree: 2012, Indian Institute of Science

 Sentiment Analysis is an area of Computer Science that deals with the impact a document makes on a user. The very field is further sub-divided… (more)

Subjects/Keywords: Song Lyrics; Non-negative Matrix Factorization (NMF); Music Information Retrival; Music Recommendation Engine; Support Vector Machine (SVM); Naive Bayes Classifier (NBC); Sentiment Analysis; Emotion Analysis; Latent Dirichlet Allocation (LDA); Sentiment Clustering; Sentiment Classification; k-Nearest Neighbour Classi er (k-NNC); Computer Science

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Sharma, G. (2012). Sentiment-Driven Topic Analysis Of Song Lyrics. (Thesis). Indian Institute of Science. Retrieved from http://hdl.handle.net/2005/2472

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sharma, Govind. “Sentiment-Driven Topic Analysis Of Song Lyrics.” 2012. Thesis, Indian Institute of Science. Accessed April 08, 2020. http://hdl.handle.net/2005/2472.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sharma, Govind. “Sentiment-Driven Topic Analysis Of Song Lyrics.” 2012. Web. 08 Apr 2020.

Vancouver:

Sharma G. Sentiment-Driven Topic Analysis Of Song Lyrics. [Internet] [Thesis]. Indian Institute of Science; 2012. [cited 2020 Apr 08]. Available from: http://hdl.handle.net/2005/2472.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sharma G. Sentiment-Driven Topic Analysis Of Song Lyrics. [Thesis]. Indian Institute of Science; 2012. Available from: http://hdl.handle.net/2005/2472

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

23. Platt, Devin. Content-Based Music Recommendation with the LFM-1b Dataset and Sample-Level Deep Convolutional Neural Networks.

Degree: Computer Science, 2017, University of California – San Diego

 Content-based music classification systems attempt to predict musical attributes of songs directly from their audio content. Commonly, the ground truth labels are explicitly identified traits… (more)

Subjects/Keywords: Computer science; LFM-1b; Music Information Retrieval; Music Recommendation; Neural Networks

…viii ABSTRACT OF THE THESIS Content-Based Music Recommendation with the LFM-1b Dataset and… …from user listening patterns, leading to content-based music recommendation systems. We… …improve upon previous work in content-based music recommendation in two ways. One, we match the… …x5B;Die16]. However, content-based music recommendation and tagging tasks cannot even… …audio-based music classification and recommendation separately, then review work that deals… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Platt, D. (2017). Content-Based Music Recommendation with the LFM-1b Dataset and Sample-Level Deep Convolutional Neural Networks. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/3137p3v0

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Platt, Devin. “Content-Based Music Recommendation with the LFM-1b Dataset and Sample-Level Deep Convolutional Neural Networks.” 2017. Thesis, University of California – San Diego. Accessed April 08, 2020. http://www.escholarship.org/uc/item/3137p3v0.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Platt, Devin. “Content-Based Music Recommendation with the LFM-1b Dataset and Sample-Level Deep Convolutional Neural Networks.” 2017. Web. 08 Apr 2020.

Vancouver:

Platt D. Content-Based Music Recommendation with the LFM-1b Dataset and Sample-Level Deep Convolutional Neural Networks. [Internet] [Thesis]. University of California – San Diego; 2017. [cited 2020 Apr 08]. Available from: http://www.escholarship.org/uc/item/3137p3v0.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Platt D. Content-Based Music Recommendation with the LFM-1b Dataset and Sample-Level Deep Convolutional Neural Networks. [Thesis]. University of California – San Diego; 2017. Available from: http://www.escholarship.org/uc/item/3137p3v0

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Indian Institute of Science

24. Sharma, Govind. Sentiment-Driven Topic Analysis Of Song Lyrics.

Degree: 2012, Indian Institute of Science

 Sentiment Analysis is an area of Computer Science that deals with the impact a document makes on a user. The very field is further sub-divided… (more)

Subjects/Keywords: Song Lyrics; Non-negative Matrix Factorization (NMF); Music Information Retrival; Music Recommendation Engine; Support Vector Machine (SVM); Naive Bayes Classifier (NBC); Sentiment Analysis; Emotion Analysis; Latent Dirichlet Allocation (LDA); Sentiment Clustering; Sentiment Classification; k-Nearest Neighbour Classi er (k-NNC); Computer Science

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Sharma, G. (2012). Sentiment-Driven Topic Analysis Of Song Lyrics. (Thesis). Indian Institute of Science. Retrieved from http://etd.iisc.ernet.in/handle/2005/2472 ; http://etd.ncsi.iisc.ernet.in/abstracts/3190/G25269-Abs.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sharma, Govind. “Sentiment-Driven Topic Analysis Of Song Lyrics.” 2012. Thesis, Indian Institute of Science. Accessed April 08, 2020. http://etd.iisc.ernet.in/handle/2005/2472 ; http://etd.ncsi.iisc.ernet.in/abstracts/3190/G25269-Abs.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sharma, Govind. “Sentiment-Driven Topic Analysis Of Song Lyrics.” 2012. Web. 08 Apr 2020.

Vancouver:

Sharma G. Sentiment-Driven Topic Analysis Of Song Lyrics. [Internet] [Thesis]. Indian Institute of Science; 2012. [cited 2020 Apr 08]. Available from: http://etd.iisc.ernet.in/handle/2005/2472 ; http://etd.ncsi.iisc.ernet.in/abstracts/3190/G25269-Abs.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sharma G. Sentiment-Driven Topic Analysis Of Song Lyrics. [Thesis]. Indian Institute of Science; 2012. Available from: http://etd.iisc.ernet.in/handle/2005/2472 ; http://etd.ncsi.iisc.ernet.in/abstracts/3190/G25269-Abs.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

25. Linger, Oscar. Designing a User-Centered Music Experience for the Smartwatch.

Degree: MID, 2018, KTH

With a rapid growth in smartwatch and smartwatch audio technologies, there is a lack of knowledge regarding user needs for smartwatch audio experiences and… (more)

Subjects/Keywords: User-Centered Design; Smartwatches; Music Experiences; Music Recommendation Systems; Gestures; Interaction Technologies; Interaktionsteknik

…and music recommendation systems with Context Awareness using heart rate tracking… …which smartwatch dependencies to other devices were considered. Music Recommendation Systems… …describe how this availability has made music recommendation systems central to music streaming… …Another consideration for music recommendation systems is mobile and context-awareness Schedl… …activities. Lee et al. [24] explains that context-aware music recommendation systems for… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Linger, O. (2018). Designing a User-Centered Music Experience for the Smartwatch. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231061

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Linger, Oscar. “Designing a User-Centered Music Experience for the Smartwatch.” 2018. Thesis, KTH. Accessed April 08, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231061.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Linger, Oscar. “Designing a User-Centered Music Experience for the Smartwatch.” 2018. Web. 08 Apr 2020.

Vancouver:

Linger O. Designing a User-Centered Music Experience for the Smartwatch. [Internet] [Thesis]. KTH; 2018. [cited 2020 Apr 08]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231061.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Linger O. Designing a User-Centered Music Experience for the Smartwatch. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231061

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

26. Bogdanov, Dmitry. From music similarity to music recommendation : computational approaches based on audio features and metadata.

Degree: Departament de Tecnologies de la Informació i les Comunicacions, 2013, Universitat Pompeu Fabra

 In this work we focus on user modeling for music recommendation and develop algorithms for computational understanding and visualization of music preferences. Firstly, we propose… (more)

Subjects/Keywords: Modelatge d'usuari; Recomanació musical; Similitud musical; Recuperació d'informació musical; Descubriment de música; Anàlisi d'àudio; Descripció de preferències; Sistemes de recomanació; Metadades; Àudio; Descripció semàntica de la música; Preferències musicals; Personalització; Visualització; Aprenentatge automàtic; Mineria de dades; User modeling; Music recommendation; Music similarity; Music information retrieval; Music discovery; Audio analysis; Preference elicitation; Recommender systems; Metadata; Audio; Semantic description of music; Music preferences; Personalization; Visualization; 62

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bogdanov, D. (2013). From music similarity to music recommendation : computational approaches based on audio features and metadata. (Thesis). Universitat Pompeu Fabra. Retrieved from http://hdl.handle.net/10803/123776

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bogdanov, Dmitry. “From music similarity to music recommendation : computational approaches based on audio features and metadata.” 2013. Thesis, Universitat Pompeu Fabra. Accessed April 08, 2020. http://hdl.handle.net/10803/123776.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bogdanov, Dmitry. “From music similarity to music recommendation : computational approaches based on audio features and metadata.” 2013. Web. 08 Apr 2020.

Vancouver:

Bogdanov D. From music similarity to music recommendation : computational approaches based on audio features and metadata. [Internet] [Thesis]. Universitat Pompeu Fabra; 2013. [cited 2020 Apr 08]. Available from: http://hdl.handle.net/10803/123776.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bogdanov D. From music similarity to music recommendation : computational approaches based on audio features and metadata. [Thesis]. Universitat Pompeu Fabra; 2013. Available from: http://hdl.handle.net/10803/123776

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

27. Λαμπρόπουλος, Αριστομένης. Machine learning-based recommendation methods for multimedia data.

Degree: 2010, University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς

Recent advances in electronic media and computer networks have allowed the creation of large and distributed repositories of information. However, the immediate availability of extensive… (more)

Subjects/Keywords: Συστήματα συστάσεων; Μηχανική μάθηση; Μονοταξικές μηχανές διανυσματικής υποστήριξης; Υβριδικές μέθοδοι συστάσεων; Μέτρα μουσικής ομοιότητας; Πολυμεσικά δεδομένα; Εξατομίκευση πληροφορίας; Ανάκτηση με βάση το περιεχόμενο; Recommender systems; Machine learning; One class support vector machines; Hybrid recommendation methods; Music similarity measures; Multimedia data; Personalization; Content based retrieval

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Λαμπρόπουλος, . . (2010). Machine learning-based recommendation methods for multimedia data. (Thesis). University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς. Retrieved from http://hdl.handle.net/10442/hedi/24757

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Λαμπρόπουλος, Αριστομένης. “Machine learning-based recommendation methods for multimedia data.” 2010. Thesis, University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς. Accessed April 08, 2020. http://hdl.handle.net/10442/hedi/24757.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Λαμπρόπουλος, Αριστομένης. “Machine learning-based recommendation methods for multimedia data.” 2010. Web. 08 Apr 2020.

Vancouver:

Λαμπρόπουλος . Machine learning-based recommendation methods for multimedia data. [Internet] [Thesis]. University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς; 2010. [cited 2020 Apr 08]. Available from: http://hdl.handle.net/10442/hedi/24757.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Λαμπρόπουλος . Machine learning-based recommendation methods for multimedia data. [Thesis]. University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς; 2010. Available from: http://hdl.handle.net/10442/hedi/24757

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

28. 中川, 洋志. 音響特徴を用いた音楽推薦システムに関する調査研究 [課題研究報告書].

Degree: Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学

Supervisor:赤木正人

情報科学研究科

修士

Subjects/Keywords: 音楽推薦システム; music recommendation system; 音響特徴r量; audio features; セレンディピティ; serendipity

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

中川, . (n.d.). 音響特徴を用いた音楽推薦システムに関する調査研究 [課題研究報告書]. (Thesis). Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学. Retrieved from http://hdl.handle.net/10119/12055

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

中川, 洋志. “音響特徴を用いた音楽推薦システムに関する調査研究 [課題研究報告書].” Thesis, Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学. Accessed April 08, 2020. http://hdl.handle.net/10119/12055.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

中川, 洋志. “音響特徴を用いた音楽推薦システムに関する調査研究 [課題研究報告書].” Web. 08 Apr 2020.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

中川 . 音響特徴を用いた音楽推薦システムに関する調査研究 [課題研究報告書]. [Internet] [Thesis]. Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学; [cited 2020 Apr 08]. Available from: http://hdl.handle.net/10119/12055.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

中川 . 音響特徴を用いた音楽推薦システムに関する調査研究 [課題研究報告書]. [Thesis]. Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学; Available from: http://hdl.handle.net/10119/12055

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.


Brno University of Technology

29. Semela, René. Doporučování hudebního obsahu založené na technikách získávání hudební informace .

Degree: 2018, Brno University of Technology

 Tato práce se zabývá návrhem, implementací a testováním obsahově založeného systému pro doporučování hudebního obsahu založeném na technikách získávání hudební informace. V úvodu je pozornost… (more)

Subjects/Keywords: doporučování hudebního obsahu; doporučovací systémy; klasifikace; obsahově založený doporučovací systém; parametrizace hudebních nahrávek; podobnost; získávání hudební informace; musical content recommendation; recommender systems; classification; content-based recommender system; parameterisation of musical recordings; similarity; music information retrieval

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Semela, R. (2018). Doporučování hudebního obsahu založené na technikách získávání hudební informace . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/82022

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Semela, René. “Doporučování hudebního obsahu založené na technikách získávání hudební informace .” 2018. Thesis, Brno University of Technology. Accessed April 08, 2020. http://hdl.handle.net/11012/82022.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Semela, René. “Doporučování hudebního obsahu založené na technikách získávání hudební informace .” 2018. Web. 08 Apr 2020.

Vancouver:

Semela R. Doporučování hudebního obsahu založené na technikách získávání hudební informace . [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2020 Apr 08]. Available from: http://hdl.handle.net/11012/82022.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Semela R. Doporučování hudebního obsahu založené na technikách získávání hudební informace . [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/82022

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

30. Monk, Adam Joel. The Diffusion of New Music through Online Social Networks.

Degree: MA, Communication, 2012, The Ohio State University

 Recent advancements in digital communication technologies have spurred a restructuring of the music industry, affording independent music firms and artists the opportunity to compete more… (more)

Subjects/Keywords: Communication; Marketing; Mass Media; Music; Music; Diffusion; Two-Step Flow; Online Social Network; Facebook; New music; Music Industry; Recommendation; Word-of-mouth; Social Marketing; Information Diffusion; Strength of weak ties; Discovery; Electronic recommendation agent; Opinion leaders

…31 Likelihood of music discovery via electronic recommendation agents… …32 Likelihood of music acquisition based on trusted recommendation… …57 Appendix A – New Music Recommendation Survey… …likelihood to use electronic recommendation agents to discover new music. Music sampling occurs as… …likely to use electronic recommendation agents to discover new music. To test this hypothesis… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Monk, A. J. (2012). The Diffusion of New Music through Online Social Networks. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1337902485

Chicago Manual of Style (16th Edition):

Monk, Adam Joel. “The Diffusion of New Music through Online Social Networks.” 2012. Masters Thesis, The Ohio State University. Accessed April 08, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1337902485.

MLA Handbook (7th Edition):

Monk, Adam Joel. “The Diffusion of New Music through Online Social Networks.” 2012. Web. 08 Apr 2020.

Vancouver:

Monk AJ. The Diffusion of New Music through Online Social Networks. [Internet] [Masters thesis]. The Ohio State University; 2012. [cited 2020 Apr 08]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1337902485.

Council of Science Editors:

Monk AJ. The Diffusion of New Music through Online Social Networks. [Masters Thesis]. The Ohio State University; 2012. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1337902485

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