Why One Size Doesn't Fit All: Improving Music Discovery and Familiar Listening with Specialized Models.
Mahesh Jindal|Giuseppe Di Benedetto|Yannik Stein
| Anthology ID: | DBLP:conf/wsdm/JindalBS26 |
|---|---|
| Volume: | Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM Companion 2026, Boise Centre, Boise, ID, USA, February 22-26, 2026 |
| Year: | 2026 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 27-33 |
| URL: | https://doi.org/10.1145/3779211.3793165 |
| DOI: | https://doi.org/10.1145/3779211.3793165 |
| DBLP: | conf/wsdm/JindalBS26 |
| BibTeX: |
@inproceedings{jindal-2026-one,
author = {Mahesh Jindal and
Giuseppe Di Benedetto and
Yannik Stein},
editor = {Edoardo Serra and
Francesca Spezzano and
Francesco Gullo},
title = {{Why One Size Doesn't Fit All: Improving Music Discovery and Familiar Listening with Specialized Models}},
booktitle = {{Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM Companion 2026, Boise Centre, Boise, ID, USA, February 22-26, 2026}},
pages = {27--33},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3779211.3793165},
doi = {https://doi.org/10.1145/3779211.3793165}
}