Personalizing self-organizing music spaces with anchors: design and evaluation

We propose and evaluate a system for content-based visualization and exploration of music collections. The system is based on a modification of Kohonen’s Self-Organizing Map algorithm and allows users to choose the locations of clusters containing acoustically similar tracks on the music space. A us...

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Bibliographic Details
Published in:Multimedia tools and applications 2018-03, Vol.77 (5), p.5525-5545
Main Authors: Collares, Leandro, Tavares, Tiago F., Gooch, Amy, Tzanetakis, George
Format: Article
Language:English
Subjects:
Browsing
Computer Communication Networks
Computer Science
Customization
Data Structures and Information Theory
Information retrieval
Multimedia
Multimedia Information Systems
Music
Self organizing maps
Special Purpose and Application-Based Systems
Tracking
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Summary:We propose and evaluate a system for content-based visualization and exploration of music collections. The system is based on a modification of Kohonen’s Self-Organizing Map algorithm and allows users to choose the locations of clusters containing acoustically similar tracks on the music space. A user study conducted to evaluate the system shows that the possibility of personalizing the music space was perceived as difficult. Conversely, the user study and objective metrics derived from users’ interactions with the interface demonstrate that the proposed system helped individuals create playlists faster and, under some circumstances, more effectively. We believe that personalized browsing interfaces are an important area of research in Multimedia Information Retrieval, and both the system and user study contribute to the growing work in this field.
ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-017-4465-8