A music recommendation system based on music data grouping and user interests
Proceedings of the tenth international conference on Information and knowledge management
Stereotypes, Student Models and Scrutability
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
Temporal event clustering for digital photo collections
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Personal vs. commercial content: the similarities between consumer use of photos and music
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Automatic playlist generation based on tracking user's listening habits
Multimedia Tools and Applications
The songs of our past: working with listening histories
CHI '11 Extended Abstracts on Human Factors in Computing Systems
Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
Interactive exploration of music listening histories
Proceedings of the International Working Conference on Advanced Visual Interfaces
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The history of songs, to which a person has listened, is a very personal piece of information. It is a rich data set that comes as a byproduct of the use of digital music players and can be obtained without interfering with the user. In this paper, we present three visualizations for this data set and a mechanism for generating new playlists from the user's own listening history, based on a navigation metaphor. First, temporal proximity is interpreted as a simple similarity measure to lay out the entire history on a two-dimensional plane. Closed listening sessions are then used to make chronological relations visible. The generated playlists mimic the user's previous listening behavior, and the visualizations make the automatic choices understandable, as they share visual properties with the history. In this sense, our visualizations provide a visual vocabulary for listening behaviors and bring scrutability to automatic playlist generation.