The story so far - this is an experiment in 'open research' - I'm going to blog my research on a particular topic. In this post, I'm outlining some of the background reading for this paper. Suggestions are welcome

Table of Contents


  • 6/10/2008 - Added references suggested by Elias

Music Seeking Behaviors in Music

Note that many User Oriented papers from the ISMIR community focus on specific tasks such as finding a known song or organizing a personal music collection. I'm looking for papers that focus on user aspects of music exploration and discovery, so any suggestions will be appreciated. Current resources are:

Thanks to Jin Ha Lee for her excellent list of resources on Users Aspects in MIR



Text Techniques

Coming soon (Stephen can point the way)

Tagging Papers

Coming soon


Coming soon


Coming soon (Brooke can point the way)

somewhat random pointers to broaden the scope a bit ;-)

* Cunningham et al:

Sally Jo Cunningham, David Bainbridge, Annette Falconer: 'More of an Art than a Science': Supporting the Creation of Playlists and Mixes. ISMIR 2006: 240-245

From the abstract:

"This paper presents an analysis of how people construct
playlists and mixes. Interviews with practitioners and
postings made to a web site are analyzed using a grounded
theory approach to extract themes and categorizations. [...]"

The paper contains interesting stats such as the typical themes of playlist (in the published results 75% were not artist/genre/style related).

In the conclusions the authors write:

"[...] applications with more interactive browsing facilities and more extensive browsing structures would both make it easier to locate candidate songs and add to the individual’s pleasure of possession of the personal collection. [...]"

Btw, at ISMIR 2007 Cunningham and Bainbridge presented another related paper: "Finding new music: a diary study of everyday encounters with novel songs".

* Surveys and results published on Hypemachine's blog:

For example:

* Genre:
Jeremy Reed and Chin-Hui Lee: "A Study on Attribute-Based Taxonomy for Music Information Retrieval"

Pointing to alternatives to genre:
"Our experimental results demonstrate that [labels based on acoustic information] are meaningful and classifiers based on these labels achieve similar or better results than those designed with existing genre based labels."

There was also some interesting work on mood presented at ISMIR'07. For example: Xiao Hu, J. Stephen Downie: Exploring mood metadata: relationships with genre, artists and usage metadata.

Posted by elias on June 09, 2008 at 04:16 AM EDT #

Post a Comment:
Comments are closed for this entry.

This blog copyright 2010 by plamere