Publication Date
Spring 3-31-2025
Presentation Length
Poster/Gallery presentation
College
College of Sciences & Mathematics
Department
Math and Computer Science, Department of
Student Level
Undergraduate
SPARK Category
Scholarship
Faculty Advisor
Christina Davis
SPARK Session
10:15 - 11:45
Presentation Type
Poster
Summary
This project is a music recommender system that analyzes Spotify data to establish relationships between songs by analyzing their musical components. A user can receive recommendations through two methods. Firstly, the user can select a song from the database that they enjoy, and the system will provide them with a list of recommendations, as well as predict the genre of the song that they have entered. Secondly, the user can set personalized values for various musical features (i.e. energy, danceability). In either case, by selecting a number 1 to 5 recommendations that the user would like, they will get that number of recommendations with the highest similarity based on musical features.
Recommended Citation
Anderson, Colin M., "Spotify Recommender using Content Filtering" (2025). SPARK Symposium Presentations. 98.
https://repository.belmont.edu/spark_presentations/98
