Music Discovery and Suggestions Network (Muzoid)

dc.contributor.author	Hamad Dar;01-233081-004
dc.contributor.author	Syed Umair Ali;01-233081-007
dc.date.accessioned	2017-05-24T06:25:00Z
dc.date.available	2017-05-24T06:25:00Z
dc.date.issued	2012
dc.identifier.uri	http://hdl.handle.net/123456789/1071
dc.description	Supervised By Mr. Aamir Iqbal Bhatti	en_US
dc.description.abstract	Muzoid is a web app with extensions for smartphones that lets the users discover music by dynamically generating playlists each time the user tries to access music by a particular artist. A query is generated to fetch dynamic list of songs from around the web. As the music is played in the discovery mode, the app senses the users’ taste of music by maintaining logs and tracking user activity for the number of playbacks for each song. Recommendation engine of the app populates a list of music that the user may find interesting by using various “social” variables such as user activity, user feedback, activity of similar users and Meta information.	en_US
dc.language.iso	en	en_US
dc.publisher	Bahria University Islamabad Campus	en_US
dc.relation.ispartofseries	BS (CS);P-3149
dc.subject	Computer Sciences.	en_US
dc.title	Music Discovery and Suggestions Network (Muzoid)	en_US
dc.type	Project Reports	en_US