top of page

Your certificate is now private

CertificateBackground.png

Certificate of Completion

ErdosHorizontal.png

THIS ACKNOWLEDGES THAT

HAS COMPLETED THE MAY-SUMMER 2024 DATA SCIENCE BOOT CAMP

Tristan Freiberg

Roman Holowinsky, PhD

JUNE 10, 2024

DIRECTOR

DATE

clear.png

TEAM

Temporal Graphs for Music recommendation systems

Abhinav Chand,Tristan Freiberg,Astrid Olave Herrera

clear.png

Music streaming companies seek to increase enhance the user experience by offering personalized music recommendations. Moreover, users value personalization as a top feature on a streaming service. Music preferences can be represented as a dynamic graph of users interacting with music genres over time. Our goal is to predict the music preference of a user using classical graph algorithms, statistical inference and Temporal Graph Neural Networks. We will work with the Temporal Graph Benchmark for our study and if possible we will apply our models to other real world networks.

Screen Shot 2022-06-03 at 11.31.35 AM.png
github URL
bottom of page