Title: Implementation of a query refinement method for user preference based information retrieval of digital music data

Speaker: Erik Zeitler

Time and Place:

Tuesday, June 4th, at 13:15
Library, floor 2 at Magistern, Dag Hammarskjölds väg 31, Uppsala

Abstract:

The main task of conventional music retrieval systems is to retrieve music data which matches the request of a user. The importance of such systems is expected to increase due to the rapid spread of digital music data, such as MP3. However, conventional systems are only able to search a particular song from a database. New methods need to be implemented that can do complex music data matchings, such as music retrieval based on user preferences.

In this thesis work a content-based music information retrieval method that matches songs to user preferences is implemented. The method constructs a query by encoding a musical preference profile from a set of rated songs provided by the user. Songs that are similar to the contents of the highest rated songs in the query are retrieved from a music collection. Relevance feedback techniques are applied to further improve the performance of the method. Through evaluation experiments, the effectiveness of the method is proven.

Conference paper in Pdf.