Authors :
K Aditya Shastry; Vikas Gowda M N
Volume/Issue :
Volume 7 - 2022, Issue 7 - July
Google Scholar :
https://bit.ly/3TmGbDi
Scribd :
https://tinyurl.com/58adxtdp
DOI :
https://doi.org/10.5281/zenodo.8395043
Abstract :
Our lives anticipate music to play a significant
role. However, because platforms for social media, like
TikTok and Instagram have such a large influence on
global music charts, consumers are only exposed to
mainstream music, hence music streaming platform
recommendations are not especially individualized. A
recommendation algorithm based on emotions allows
users to listen to music according to their emotions.
Depending on the user's prior listening habits, current
systems use audio and content - based filtering to make
music suggestions. The suggested research project creates
a tailored system that analysesthe user's current emotion.
Ascore is generated for each response based on the user's
input, which adds up to a total score, which is utilized to
generate the playlist. For playlist production and
suggestion, the suggested recommendation system makes
use of the Spotify platform andAPI usingValance Arousal
dataset training the datasets into k-means clustering.
Keywords :
TikTok, Instagram, Recommendation system, Valance Arousal dataset and K-Means clustering.
Our lives anticipate music to play a significant
role. However, because platforms for social media, like
TikTok and Instagram have such a large influence on
global music charts, consumers are only exposed to
mainstream music, hence music streaming platform
recommendations are not especially individualized. A
recommendation algorithm based on emotions allows
users to listen to music according to their emotions.
Depending on the user's prior listening habits, current
systems use audio and content - based filtering to make
music suggestions. The suggested research project creates
a tailored system that analysesthe user's current emotion.
Ascore is generated for each response based on the user's
input, which adds up to a total score, which is utilized to
generate the playlist. For playlist production and
suggestion, the suggested recommendation system makes
use of the Spotify platform andAPI usingValance Arousal
dataset training the datasets into k-means clustering.
Keywords :
TikTok, Instagram, Recommendation system, Valance Arousal dataset and K-Means clustering.
