Al-Beitawi , ZaydSalehan, MohammadZhang, Sonya2020-01-042020-01-042020-01-07978-0-9981331-3-3http://hdl.handle.net/10125/63756Music 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.7 pagesengAttribution-NonCommercial-NoDerivatives 4.0 InternationalAI and Cognitive Assistants in Collaborationclusteringmusic streamingrecommender systemsConference Paper10.24251/HICSS.2020.017