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Update 使用矩阵分解找到相似歌曲.md
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‎Science and Data Analysis/使用矩阵分解找到相似歌曲.md‎

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原文：[Finding Similar Music using Matrix Factorization](http://www.benfrederickson.com/matrix-factorization/)
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之前，我写了一篇关于[如何构建一个'喜欢这个的人也喜欢……'特性](/distance-metrics/)文章，用来展示相似音乐家名单。我的目标是为了显示用信息检索技术来很好的计算相关艺术家列表是多么的简单。例如，在The Beatles上使用BM25距离表明，最相似的艺术家是John Lennon和Paul McCartney。
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这里，隐式ALS的结果比那些在Logistic Matrix
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Factorization paper上报道的好得多 (除了Mumford Sons，在Last.fm数据集发布之后，他变得流行起来)。这主要是因为我如何加权信心矩阵 —— 通过使用一个简单的线性加权，我也获得了棒棒的结果。
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