10.4230/DFU.VOL3.11041.135
Schedl, Markus
Markus
Schedl
Stober, Sebastian
Sebastian
Stober
Gómez, Emilia
Emilia
Gómez
Orio, Nicola
Nicola
Orio
Liem, Cynthia C.S.
Cynthia C.S.
Liem
User-Aware Music Retrieval
Schloss Dagstuhl – Leibniz-Zentrum für Informatik
2012
Chapter
user-aware music retrieval
personalization
recommendation
user context
adaptive systems
similarity measurement
serendipity
Müller, Meinard
Meinard
Müller
Goto, Masataka
Masataka
Goto
Schedl, Markus
Markus
Schedl
2012
2012-04-27
2012-04-27
2012-04-27
en
urn:nbn:de:0030-drops-34709
978-3-939897-37-8
1868-8977
22 pages
1536582 bytes
application/pdf
Creative Commons Attribution 3.0 Unported license
info:eu-repo/semantics/openAccess
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 state-of-the-art in building such systems is reviewed, taking in particular aspects of "similarity" and "serendipity" into account.
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