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Supporting data for "A Hybrid-based Music Recommendation with Contextual Information"

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DataCite Commons2024-08-09 更新2025-04-16 收录
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https://datahub.hku.hk/articles/dataset/Supporting_data_for_A_Hybrid-based_Music_Recommendation_with_Contextual_Information_/26200217
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<br>AuthorRuilun Liu (laualan@connect.hku.hk)The University of Hong Kong<br>IntroductionThis dataset is the supporting data for the research of "A Hybrid-based Music Recommendation with Contextual Information". A total of 213 playlists were gathered from the participants throughout a user experiment. Music features of the music involved in the playlists were obtained from the Spotify API, encompassing features of metadata, high- and low-audio features, artist information, and lyrics embeddings, Directory of Files.├─README├─1. music_features.csv└─2. user_created_playlists.csvData Description1. music_features.csv: Spotify ID with features of metadata, high- and low-level audio features, artist, and lyric embeddings.2. user_created_playlists.csv: A number of 213 playlists created by participants within the two-month user experiment, including columns of participant ID, playlist ID, playlist name, and a list of Spotify IDs.<br>
提供机构:
HKU Data Repository
创建时间:
2024-07-11
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