Date of Award
2022
Publisher
North Dakota State University
Document Type
Master's Paper
Degree Awarded
Master of Science (MS)
Program
Computer Science
Department
Computer Science
College
Engineering
Faculty Advisor
Denton, Anne
Description
This paper aims to compare and evaluate the methods for recommending songs using metadata, user generated tags, metadata and tags, and metadata and top five tags. Recommendations are calculated using cosine similarities with relevant exceptions (artist filtering, tag filtering, year to decade conversion) investigated.
Recommended Citation
Kumar, Shubhit, "Evaluating the Effectiveness of Music Recommendations Using Cosine Similarities of Various Combined Feature Sets Consisting of Metadata and User Generated Tags" (2022). Computer Science. 363.
https://digitalcommons.ndsu.edu/computer-sci/363
Rights
NDSU policy 190.6.2
Rights Link
https://www.ndsu.edu/fileadmin/policy/190.pdf
Handle Identifier
https://hdl.handle.net/10365/32461