@inproceedings{1e0214519e6543f0bfac9d28a9bd1387,
title = "Creating a music recommendation and streaming application for android",
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{\textquoteright}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{\textquoteright} feedback which shows positive results.",
keywords = "music retrieval, mobile computing, recommendation system, music streaming",
author = "Elliot Jenkins and Linda Yang",
year = "2016",
month = aug,
day = "6",
doi = "10.1007/978-3-319-44406-2",
language = "English",
isbn = "978-3-319-44405-5",
volume = "9828",
series = " Lecture Notes in Computer Science",
publisher = "Springer",
pages = "201--215",
editor = "Sven Hartmann and Hui Ma",
booktitle = "Database and Expert Systems Applications",
}