Creating a music recommendation and streaming application for android

Elliot Jenkins, Linda Yang

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    Abstract

    Music recommendation and streaming services have grown exponentially with the introduction of smartphones. Despite the large number of systems, they all currently face a lot of issues. One issue is a cold start where a user who is new to the system can’t be made recommendations until the system learns their tastes. They also lack context awareness to make truly personalised recommendations to the user. This paper introduces a new recommendation and streaming application, individual Personalised Music (iPMusic), for Android which is specifically designed to address the issues. We examine the effectiveness of iPMusic based on real world users’ feedback which shows positive results.
    Original languageEnglish
    Title of host publicationDatabase and Expert Systems Applications
    Subtitle of host publication27th International Conference, DEXA 2016, Porto, Portugal, September 5-8, 2016, Proceedings, Part II
    EditorsSven Hartmann, Hui Ma
    PublisherSpringer
    Pages201-215
    Number of pages15
    Volume9828
    ISBN (Electronic)978-3-319-44406-2
    ISBN (Print)978-3-319-44405-5
    DOIs
    Publication statusPublished - 6 Aug 2016

    Publication series

    Name Lecture Notes in Computer Science
    ISSN (Print)0302-9743

    Keywords

    • music retrieval
    • mobile computing
    • recommendation system
    • music streaming

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