Music recommendation using content and context information mining

Ja Hwung Su*, Hsin Ho Yeh, Philip S. Yu, S. Tseng

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

128 Scopus citations


Mobile devices such as smart phones are becoming popular, and realtime access to multimedia data in different environments is getting easier. With properly equipped communication services, users can easily obtain the widely distributed videos, music, and documents they want. Because of its usability and capacity requirements, music is more popular than other types of multimedia data. Documents and videos are difficult to view on mobile phones' small screens, and videos' large data size results in high overhead for retrieval. But advanced compression techniques for music reduce the required storage space significantly and make the circulation of music data easier. This means that users can capture their favorite music directly from the Web without going to music stores. Accordingly, helping users find music they like in a large archive has become an attractive but challenging issue over the past few years.

Original languageEnglish
Article number5432257
Pages (from-to)16-26
Number of pages11
JournalIEEE Intelligent Systems
Issue number1
StatePublished - 21 May 2010

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