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MALL: a life log based music recommendation system and portable music player

Published: 24 March 2014 Publication History
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  • Abstract

    We may like to listen to particular types of tunes under the particular situation or environment, such as events, weather, time, and place. However, it is not always easy to manually choose such particular types of tunes just by looking at metadata such as titles or artist names. It is effective and enjoyable if such tunes are automatically recommended after learning the tendency of the users. This paper presents MALL (Music Adviser with Life Log), a life log based music recommendation system and portable music player. The system records the history of listened tunes with the situation and environment on the Android-based portable music player. It then discovers association rules between the situation or environments and musical feature values of the tunes. Finally, the system recommends particular types of tunes based on the discovered association rules. We names this system MALL because it advises the tunes based on the life logs of the users.

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    Cited By

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    • (2021)Know Yourself: Physical and Psychological Self-Awareness With LifelogFrontiers in Digital Health10.3389/fdgth.2021.6768243Online publication date: 11-Aug-2021
    • (2014)Towards Activity Recommendation from LifelogsProceedings of the 16th International Conference on Information Integration and Web-based Applications & Services10.1145/2684200.2684298(87-96)Online publication date: 4-Dec-2014

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    cover image ACM Conferences
    SAC '14: Proceedings of the 29th Annual ACM Symposium on Applied Computing
    March 2014
    1890 pages
    ISBN:9781450324694
    DOI:10.1145/2554850
    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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    New York, NY, United States

    Publication History

    Published: 24 March 2014

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    Author Tags

    1. association rules
    2. life log
    3. music recommendation
    4. musical features

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    • Research-article

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    SAC 2014
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    SAC 2014: Symposium on Applied Computing
    March 24 - 28, 2014
    Gyeongju, Republic of Korea

    Acceptance Rates

    SAC '14 Paper Acceptance Rate 218 of 939 submissions, 23%;
    Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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    Cited By

    View all
    • (2021)Know Yourself: Physical and Psychological Self-Awareness With LifelogFrontiers in Digital Health10.3389/fdgth.2021.6768243Online publication date: 11-Aug-2021
    • (2014)Towards Activity Recommendation from LifelogsProceedings of the 16th International Conference on Information Integration and Web-based Applications & Services10.1145/2684200.2684298(87-96)Online publication date: 4-Dec-2014

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