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A fuzzy framework for defining dynamic playlist generation heuristics

机译：用于定义动态播放列表生成启发式的模糊框架

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摘要

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 denning 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.
机译：本文研究了一种自动生成歌曲序列的动态方法。从给定的种子歌曲开始，在听音乐的同时即时生成序列。在此过程中，用户可以通过按下跳过按钮来表达他或她对当前播放歌曲的不喜欢。当前歌曲结束或跳过时，将使用试探法选择要播放的下一首歌曲。我们引入模糊集理论作为否认这类启发式的形式主义，因为这使我们能够使定义变得系统，形式和直观。通过这样做，我们获得了一个通用的统一框架，其中包括其他作者先前介绍的所有启发式方法。通过广泛的实验评估，我们将这些现有的启发式方法与几种新颖的方法进行了比较。此外，我们证明了所提出的形式框架可用于轻松生成启发式的变体，在特定情况下的变体要好得多。

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