{"id":151615,"date":"2001-12-01T00:00:00","date_gmt":"2001-12-01T00:00:00","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/msr-research-item\/learning-a-gaussian-process-prior-for-automatically-generating-music-playlists\/"},"modified":"2018-10-16T21:18:06","modified_gmt":"2018-10-17T04:18:06","slug":"learning-a-gaussian-process-prior-for-automatically-generating-music-playlists","status":"publish","type":"msr-research-item","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/learning-a-gaussian-process-prior-for-automatically-generating-music-playlists\/","title":{"rendered":"Learning a Gaussian Process Prior for Automatically Generating Music Playlists"},"content":{"rendered":"<div class=\"asset-content\">\n<p>This paper presents AutoDJ: a system for automatically generating music playlists based on one or more seed songs selected by a user. AutoDJ uses Gaussian Process Regression to learn a user preference function over songs. This function takes music metadata as inputs. This paper further introduces Kernel Meta-Training, which is a method of learning a Gaussian Process kernel from a distribution of functions that generates the learned function. For playlist generation, AutoDJ learns a kernel from a large set of albums. This learned kernel is shown to be more effective at predicting users\u2019 playlists than a reasonable hand-designed kernel.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>This paper presents AutoDJ: a system for automatically generating music playlists based on one or more seed songs selected by a user. AutoDJ uses Gaussian Process Regression to learn a user preference function over songs. This function takes music metadata as inputs. This paper further introduces Kernel Meta-Training, which is a method of learning a 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