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

<h4><br></h4><h3>Author</h3><p dir="ltr">Ruilun Liu (laualan@connect.hku.hk)</p><p dir="ltr">The University of Hong Kong</p><p><br></p><h3>Introduction</h3><p dir="ltr">This 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, </p><h3>Directory of Files</h3><p>.</p><p dir="ltr">├─README</p><p dir="ltr">├─1. music_features.csv</p><p dir="ltr">└─2. user_created_playlists.csv</p><h3>Data Description</h3><p dir="ltr">1. music_features.csv: Spotify ID with features of metadata, high- and low-level audio features, artist, and lyric embeddings.</p><p dir="ltr">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.</p><p dir="ltr"><br></p>