On Sugeno integral as an aggregation function
Fuzzy Sets and Systems
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
Personalization of user profiles for content-based music retrieval based on relevance feedback
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Scalable music recommendation by search
Proceedings of the 15th international conference on Multimedia
A Data and Query Model for Dynamic Playlist Generation
ICDEW '07 Proceedings of the 2007 IEEE 23rd International Conference on Data Engineering Workshop
Case-based sequential ordering of songs for playlist recommendation
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
"The way it Sounds": timbre models for analysis and retrieval of music signals
IEEE Transactions on Multimedia
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We study a dynamic way of automatically generating sequences of songs in this paper. Starting from a given seed song, a sequence is generated on-the-fly while listening to the music. During this process, the user can express his or her dislike for the currently played song by pressing a skip button. When the current song is finished or skipped, a heuristic is used to choose the next song to be played. We introduce fuzzy set theory as a formalism for defining such heuristics, because this allows us to make the definitions systematic, formal, and intuitively clear. By doing this, we obtain a general unified framework that includes all heuristics introduced previously by other authors. We compare these existing heuristics with several novel ones by means of extensive experimental evaluations. Moreover, we demonstrate that the presented formal framework can be used to easily generate variations of a heuristic that perform significantly better under specific circumstances.