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Analysis of Music Transition in Acoustic Feature Space for Music Recommendation

Published: 24 February 2017 Publication History

Abstract

Previously, we proposed a playlist recommendation method that recommends a music sequence that has smooth transitions of the acoustic features in the two-dimensional music feature space. Our previous method recommends users using the last two songs in the playlist for the next songs that have a smooth transition of acoustic features from the current songs. Experimental results showed the usefulness of our proposed method comparing with baseline methods. However, the evaluation of whether or not the recommended song was truly a song suitable for the user has not been sufficient. In this paper, we analyze what kind of song sequence users feel smooth in music transition. We conduct a subjective experiment by nine subjects in their 20's, using a music data set composed of music data of 909 songs. The result shows the position to the music transition that users feel smooth.

References

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Flexer, Arthur, et al. "Playlist Generation using Start and End Songs." ISMIR. 2008.
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Steffen Pauws, Wim Verhaegh, and Mark Vossen. 2006. Fast generation of optimal music playlists using local search. In Proceedings of ISMIR. (2006), 138--143.
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Robert Ragno, Chris J. C. Burges, and Cormac Herley. 2005. Inferring similarity between music objects with application to playlist generation. In proceedings of MIR. (2005), 73--80.
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Slaney, Malcolm, and William White. "Similarity Based on Rating Data." ISMIR. 2007.
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Elias Pampalk, Tim Pohle, and Gerhard Widmer. 2005. Dynamic playlist generation based on skipping behavior. In Proceedings of ISMIR. (2005), 634--637.
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S. Pauws, B. Eggen, PATS: Realization and User Evaluation of an Automatic Playlist Generator, In Proceedings of ISMIR Conference '02, pages 222--230, 2002.
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Jannach, Dietmar, Iman Kamehkhosh, and Geoffray Bonnin. "Analyzing the Characteristics of Shared Playlists for Music Recommendation." RSWeb@ RecSys. 2014.
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B. Logan, Music Recommendation from Song Sets, In Proceedings of ISMIR Conference '04, pp. 425--428, 2004.
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Ikeda, Shobu, Kenta Oku, and Kyoji Kawagoe. "Music Playlist Recommendation Using Acoustic-Feature Transitions." Proceedings of the Ninth International C* Conference on Computer Science & Software Engineering. ACM, 2016.
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Jannach, Dietmar, Lukas Lerche, and Iman Kamehkhosh. "Beyond Hitting the Hits: Generating Coherent Music Playlist Continuations with the Right Tracks." Proceedings of the 9th ACM Conference on Recommender Systems. ACM, 2015.
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Cited By

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  • (2023)Understanding users music listening habits for time and activity sensitive customized playlists2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)10.1109/CCNC51644.2023.10060462(485-488)Online publication date: 8-Jan-2023
  • (2023)Multiple Attribute List Aggregation and an Application to Democratic Playlist EditingMulti-Agent Systems10.1007/978-3-031-43264-4_1(1-16)Online publication date: 7-Sep-2023
  • (2022)Music Playlists via FM Radio Music ProgrammingInternational Journal of Advanced Research in Science, Communication and Technology10.48175/IJARSCT-3942(399-402)Online publication date: 21-May-2022
  • Show More Cited By

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cover image ACM Other conferences
ICMLC '17: Proceedings of the 9th International Conference on Machine Learning and Computing
February 2017
545 pages
ISBN:9781450348171
DOI:10.1145/3055635
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • Southwest Jiaotong University

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 February 2017

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Author Tags

  1. Music Recommendation
  2. Playlist Recommendation
  3. Transition

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Cited By

View all
  • (2023)Understanding users music listening habits for time and activity sensitive customized playlists2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)10.1109/CCNC51644.2023.10060462(485-488)Online publication date: 8-Jan-2023
  • (2023)Multiple Attribute List Aggregation and an Application to Democratic Playlist EditingMulti-Agent Systems10.1007/978-3-031-43264-4_1(1-16)Online publication date: 7-Sep-2023
  • (2022)Music Playlists via FM Radio Music ProgrammingInternational Journal of Advanced Research in Science, Communication and Technology10.48175/IJARSCT-3942(399-402)Online publication date: 21-May-2022
  • (2022)Automatic and Personalized Sequencing of Music Playlists2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops (ICDCSW)10.1109/ICDCSW56584.2022.00046(205-208)Online publication date: Jul-2022
  • (2021)Automatic and User-Tailored Playlist SequencingProceedings of the Conference on Information Technology for Social Good10.1145/3462203.3475893(321-324)Online publication date: 9-Sep-2021
  • (2021)Automatic Music Playlist Generation Based on Music-Programming of FM Radios2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC)10.1109/CCNC49032.2021.9369526(1-4)Online publication date: 9-Jan-2021
  • (2021)Towards a content-based prediction of personalized musical preferences using transfer learning2021 International Conference on Content-Based Multimedia Indexing (CBMI)10.1109/CBMI50038.2021.9461911(1-6)Online publication date: 28-Jun-2021
  • (2020)Ethnic music exploration guided by personalized recommendations: system design and evaluationSN Applied Sciences10.1007/s42452-020-2318-y2:4Online publication date: 4-Mar-2020
  • (2018)Music Playlist Recommender System AFT-ISProceedings of the 2018 10th International Conference on Computer and Automation Engineering10.1145/3192975.3193019(58-61)Online publication date: 24-Feb-2018
  • (2017)Music Playlist Recommendation Using Acoustic-Feature Transition Inside the SongsProceedings of the 15th International Conference on Advances in Mobile Computing & Multimedia10.1145/3151848.3151880(216-219)Online publication date: 4-Dec-2017

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