Evaluating and Analysing Dynamic Playlist Generation Heuristics Using Radio Logs and Fuzzy Set Theory

نویسندگان

  • Klaas Bosteels
  • Elias Pampalk
  • Etienne E. Kerre
چکیده

In this paper, we analyse and evaluate several heuristics for adding songs to a dynamically generated playlist. We explain how radio logs can be used for evaluating such heuristics, and show that formalizing the heuristics using fuzzy set theory simplifies the analysis. More concretely, we verify previous results by means of a large scale evaluation based on 1.26 million listening patterns extracted from radio logs, and explain why some heuristics perform better than others by analysing their formal definitions and conducting additional evaluations.

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تاریخ انتشار 2009