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User-Aware Music Retrieval
BibTeX
@MISC{Schedl_user-awaremusic,
author = {Markus Schedl and Sebastian Stober and Emilia Gómez and Nicola Orio and Cynthia C. S. Liem},
title = {User-Aware Music Retrieval},
year = {}
}
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Abstract
Personalized and user-aware systems for retrieving multimedia items are becoming increasingly important as the amount of available multimedia data has been spiraling. A personalized system is one that incorporates information about the user into its data processing part (e.g., a particular user taste for a movie genre). A context-aware system, in contrast, takes into account dynamic aspects of the user context when processing the data (e.g., location and time where/when a user issues a query). Today’s user-adaptive systems often incorporate both aspects. Particularly focusing on the music domain, this article gives an overview of different aspects we deem important to build personalized music retrieval systems. In this vein, we first give an overview of factors that influence the human perception of music. We then propose and discuss various requirements for a personalized, user-aware music retrieval system. Eventually, the stateof-the-art in building such systems is reviewed, taking in particular aspects of similarity and serendipity into account.
Keyphrases
user-aware music retrieval human perception personalized music retrieval system music domain today user-adaptive system data processing part particular aspect context-aware system building system movie genre user-aware system personalized system user-aware music retrieval system various requirement particular user taste different aspect multimedia item account dynamic aspect user context user issue available multimedia data
