document: The million song dataset challenge We introduce the Million Song Dataset Challenge : a large-scale , personalized music recommendation challenge , where the goal is to predict the songs that a user will listen to , given both the user 's listening history and full information ( including meta-data and content analysis ) for all songs . We explain the taste profile data , our goals and design choices in creating the challenge , and present baseline results using simple , off-the-shelf recommendation algorithms .
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