Personal music experience : uMusic II

Most existing music sites and tools today only provide basic listening experience. Users are burdened with the manual maintenance of their playlists. A lot of time and efforts were spent on searching for music by name or going through popular music listings to handpick new music one by one to the pl...

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Main Author: Lee, Hong Ru.
Other Authors: Zhang Jun
Format: Final Year Project
Language:English
Published: 2012
Subjects:
Online Access:http://hdl.handle.net/10356/48565
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-485652023-03-03T20:44:33Z Personal music experience : uMusic II Lee, Hong Ru. Zhang Jun School of Computer Engineering Centre for Advanced Information Systems Chong Gao DRNTU::Engineering::Computer science and engineering::Information systems::Information systems applications Most existing music sites and tools today only provide basic listening experience. Users are burdened with the manual maintenance of their playlists. A lot of time and efforts were spent on searching for music by name or going through popular music listings to handpick new music one by one to the playlist. Most of the time, users are much confused by the large amount of new music and songs, they usually do not know what to select. After getting tired of updating the list all the time, many users tend to stick with their old lists or music charts. Most music applications and sites usually have their own database collection of music sort by author, ratings, time, genre and other properties. Music recommendation could be done easily via user request and feedback. Applications can select music from database matching user’s input request. However, implementing a database with large collection of music data can be expensive and time consuming. The use of publicly available APIs, XML, RSS feeds could provide an alternative way to collect music resource and information. They could provide free, easy and faster way for developers to implement a music recommendation engine, although with its limitations. This report proposes a music player application on the iPhone, with its music recommendation engine implemented with the use APIs and XML. Bachelor of Engineering (Computer Science) 2012-04-26T04:45:05Z 2012-04-26T04:45:05Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/48565 en Nanyang Technological University 43 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Information systems::Information systems applications
spellingShingle DRNTU::Engineering::Computer science and engineering::Information systems::Information systems applications
Lee, Hong Ru.
Personal music experience : uMusic II
description Most existing music sites and tools today only provide basic listening experience. Users are burdened with the manual maintenance of their playlists. A lot of time and efforts were spent on searching for music by name or going through popular music listings to handpick new music one by one to the playlist. Most of the time, users are much confused by the large amount of new music and songs, they usually do not know what to select. After getting tired of updating the list all the time, many users tend to stick with their old lists or music charts. Most music applications and sites usually have their own database collection of music sort by author, ratings, time, genre and other properties. Music recommendation could be done easily via user request and feedback. Applications can select music from database matching user’s input request. However, implementing a database with large collection of music data can be expensive and time consuming. The use of publicly available APIs, XML, RSS feeds could provide an alternative way to collect music resource and information. They could provide free, easy and faster way for developers to implement a music recommendation engine, although with its limitations. This report proposes a music player application on the iPhone, with its music recommendation engine implemented with the use APIs and XML.
author2 Zhang Jun
author_facet Zhang Jun
Lee, Hong Ru.
format Final Year Project
author Lee, Hong Ru.
author_sort Lee, Hong Ru.
title Personal music experience : uMusic II
title_short Personal music experience : uMusic II
title_full Personal music experience : uMusic II
title_fullStr Personal music experience : uMusic II
title_full_unstemmed Personal music experience : uMusic II
title_sort personal music experience : umusic ii
publishDate 2012
url http://hdl.handle.net/10356/48565
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