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

Author

Ruilun Liu (laualan@connect.hku.hk)

The University of Hong Kong

Introduction

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,

Directory of Files

.

├─README

├─1. music_features.csv

└─2. user_created_playlists.csv

Data Description

1. 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.