A combinatorial approach to content-based music selection
A combinatorial approach to content-based music selection
复制标题
基于内容的音乐选择的组合方法
DOI：
10.1109/mmcs.1999.779245
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发表时间：
1999
期刊：
影响因子：
--
通讯作者：
Daniel Cazaly
中科院分区：
文献类型：
--
作者：
F. Pachet;Pierre Roy;Daniel Cazaly
网络和数字多媒体数据传输的进步将很快为用户带来庞大的音乐目录。访问这些目录会给用户和内容提供商带来一个问题，我们将其定义为音乐选择问题。我们介绍了在音乐选择中要满足的三个主要目标：匹配用户偏好，为用户提供新音乐，并以最佳方式利用目录。我们提出了一种新的音乐选择方法，基于计算音乐标题的连贯序列，并表明这相当于解决组合模式生成问题。我们提出约束满足技术来解决这个问题。由此产生的系统是一种能够构建更好的音乐传递服务的技术。
Advances in networking and transmission of digital multimedia data will soon bring huge catalogues of music to users. Accessing these catalogues raises a problem for users and content providers, that we define as the music selection problem. We introduce three main goals to be satisfied in music selection: match user preferences, provide users with new music, and exploit the catalogue in an optimal fashion. We propose a novel approach to music selection, based on computing coherent sequences of music titles, and show that this amounts to solving a combinatorial pattern generation problem. We propose constraint satisfaction techniques to solve it. The resulting system is an enabling technology to build better music delivery services.