Million Song Dataset（百万歌曲数据集）-数据集

The Million Song Dataset is a joint effort between the Computer Audition Lab at UC San Diego and LabROSA at Columbia University. The user data for the challenge, like much of the data in the Million Song Dataset, was generously donated by The Echo Nest, with additional data contributed by SecondHandSongs, musiXmatch, and Last.fm. The Million Song Dataset aims at being the best possible offline evaluation of a music recommendation system. “百万歌曲数据集”是加州大学圣地亚哥分校计算机视听实验室和哥伦比亚大学拉布罗萨实验室共同努力的成果。该挑战的用户数据，就像Million Song数据集中的大部分数据一样，都是由Echo Nest慷慨捐赠的，另外还有SecondHandSongs、musiXmatch和Last.fm提供的数据。百万歌曲数据集的目标是成为最好的离线音乐推荐系统评估。 MSDChallengeGettingstarted.pdf kaggle_users.txt kaggle_songs.txt taste_profile_song_to_tracks.txt kaggle_visible_evaluation_triplets.txt