| dc.contributor.author | Kumar, Shubhit | |
| dc.description.abstract | 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. | en_US |
| dc.publisher | North Dakota State University | en_US |
| dc.rights | NDSU policy 190.6.2 | en_US |
| dc.title | Evaluating the Effectiveness of Music Recommendations Using Cosine Similarities of Various Combined Feature Sets Consisting of Metadata and User Generated Tags | en_US |
| dc.type | Master's paper | en_US |
| dc.date.accessioned | 2022-05-19T17:29:25Z | |
| dc.date.available | 2022-05-19T17:29:25Z | |
| dc.date.issued | 2022 | |
| dc.identifier.uri | https://hdl.handle.net/10365/32461 | |
| dc.rights.uri | https://www.ndsu.edu/fileadmin/policy/190.pdf | en_US |
| ndsu.degree | Master of Science (MS) | en_US |
| ndsu.college | Engineering | en_US |
| ndsu.department | Computer Science | en_US |
| ndsu.program | Computer Science | en_US |
| ndsu.advisor | Denton, Anne | |
| dc.identifier.doi | 10.48655/10365/32461 | |
