MusiCube: a visual music recommendation system featuring interactive evolutionary computing

Authors:
Yuri Saito;Takayuki Itoh
Affiliations:
Ochanomizu University, Ohtsuka, Bunkyo-ku, Tokyo, Japan;Ochanomizu University, Ohtsuka, Bunkyo-ku, Tokyo, Japan
Venue:
Proceedings of the 2011 Visual Information Communication - International Symposium
Year:
2011

Citing 3
Cited 0

Personalization of user profiles for content-based music retrieval based on relevance feedback

MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Clutter Reduction in Multi-Dimensional Data Visualization Using Dimension Reordering

INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Selecting good views of high-dimensional data using class consistency

EuroVis'09 Proceedings of the 11th Eurographics / IEEE - VGTC conference on Visualization

Quantified Score

Hi-index	0.00

Visualization

Abstract

We often want to select tunes based on our purposes or situations. For example, we may want background music for particular spaces. We think interactive evolutionary computing is a good solution to adequately recommend tunes based on users' preferences. This paper presents MusiCube, a visual interface for music selection. It applies interactive genetic algorithm in a multidimensional musical feature space. MusiCube displays a set of tunes as colored icons in a 2D cubic space, and provides a user interface to intuitively select suggested tunes. This paper presents a user experience that MusiCube adequately represented clouds of icons corresponding to sets of users' preferable tunes in the 2D cubic space.