Add to ORKGMusic streaming services like Spotify have changed the way consumers listen to music. Understanding what attributes make certain songs trendy can help services to create a better customer experience as well as more effective marketing efforts. We performed cluster analysis on Top 100 Trending Spotify Song of 2017, with ten attributes, including danceability, energy, loudness, speechiness, acousticness, instrumentalness, Liveness, valence, tempo, and duration. The results show that music structures with high danceability and low instrumentalness increase the popularity of a song and lead them to chart-topping success
Thousands of music tracks are uploaded to the Internet every day through websites and social network...
Technology is radically transforming the music industry through the use of big data, artificial inte...
Spotify, which is one of the worlds biggest music services, posted a data set and an open-ended chal...
Music streaming services like Spotify have changed the way consumers listen to music. Understanding ...
Consumption of digital music services has grown dramatically in recent years. There is an increase i...
The modern ability to stream music using services such as Spotify, Pandora, and Apple music has revo...
Spotify is considered one of the best music streaming providers in the world. Spotify users can acce...
Abstract. Over 87% of the streaming music is owned by four major record labels (Jones, 2018). Yet, t...
This paper examines data from Spotify’s API for 2017-2018 to determine the effects of song attribute...
Digital music distribution is increasingly powered by automated mechanisms that continuously capture...
Music is one of the rare forms of communication that can be understood on a profound level by anyone...
The growing use of predictive analysis can be seen in volatile industries such as the music industry...
Using regression and classification machine learning algorithms, this study explores audio features ...
In the music market, superstars significantly dominate the market share, while predicting the top hi...
Digital music distribution is increasingly powered by automated mechanisms that continuously captur...
Thousands of music tracks are uploaded to the Internet every day through websites and social network...
Technology is radically transforming the music industry through the use of big data, artificial inte...
Spotify, which is one of the worlds biggest music services, posted a data set and an open-ended chal...
Music streaming services like Spotify have changed the way consumers listen to music. Understanding ...
Consumption of digital music services has grown dramatically in recent years. There is an increase i...
The modern ability to stream music using services such as Spotify, Pandora, and Apple music has revo...
Spotify is considered one of the best music streaming providers in the world. Spotify users can acce...
Abstract. Over 87% of the streaming music is owned by four major record labels (Jones, 2018). Yet, t...
This paper examines data from Spotify’s API for 2017-2018 to determine the effects of song attribute...
Digital music distribution is increasingly powered by automated mechanisms that continuously capture...
Music is one of the rare forms of communication that can be understood on a profound level by anyone...
The growing use of predictive analysis can be seen in volatile industries such as the music industry...
Using regression and classification machine learning algorithms, this study explores audio features ...
In the music market, superstars significantly dominate the market share, while predicting the top hi...
Digital music distribution is increasingly powered by automated mechanisms that continuously captur...
Thousands of music tracks are uploaded to the Internet every day through websites and social network...
Technology is radically transforming the music industry through the use of big data, artificial inte...
Spotify, which is one of the worlds biggest music services, posted a data set and an open-ended chal...