播放列表特征对用户策划的音乐播放列表的一致性的影响
Harald Schweiger1, Emilia Parada-Cabaleiro2, Markus Schedl1,3
1Multimedia Mining and Search Group, Institute of Computational Perception, Johannes Kepler University Linz, Altenberger Straße 69, Linz, 4040 Upper Austria Austria.
概括
这项研究定义并测量了播放列表的一致性,发现较长的播放列表更加连贯. 然而,流行曲目和大量编辑会降低连贯性,而协作策划对音乐播放列表质量有不同的影响.
科学领域:
- 音乐信息检索 音乐信息检索
- 数据挖掘 数据挖掘
- 计算音乐学 计算音乐学
背景情况:
- 播放列表连贯性,定义为曲目之间的顺过渡,是不太了解和缺乏标准化.
- 现有的研究主要集中在播放列表的多样性,人气和偶然性.
研究的目的:
- 正式定义和测量播放列表的一致性.
- 分析影响用户生成音乐播放列表连贯性的因素.
- 为改善自动播放列表生成提供见解.
主要方法:
- 开发了一个正式的框架来测量基于顺序的曲目排序的播放列表连贯性.
- 分析了大量用户生成的播放列表的数据集.
- 利用相关性和因果推理模型来评估播放列表属性对听觉和元数据特征一致性的影响.
主要成果:
- 确定了播放列表长度,编辑次数,曲目受欢迎程度和协作策划作为关键影响因素.
- 较长的播放列表通常具有更高的连贯性.
- 有流行曲目或多次编辑的播放列表显示连贯性降低;协作策划结果混合.
结论:
- 开发的框架提供了更易于解释的播放列表一致性的衡量标准.
- 播放列表的特征显著影响连贯性,为音乐推系统提供实用意义.
- 提出了一个贪的算法,以基于已识别的趋势来增强播放列表的连贯性.
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