"All of Me": Mining Users' Attributes from their Public Spotify Playlists.
Pier Paolo Tricomi|Luca Pajola|Luca Pasa|Mauro Conti
| Anthology ID: | DBLP:conf/www/TricomiPPC24 |
|---|---|
| Volume: | Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 963-966 |
| URL: | https://doi.org/10.1145/3589335.3651459 |
| DOI: | https://doi.org/10.1145/3589335.3651459 |
| DBLP: | conf/www/TricomiPPC24 |
| BibTeX: |
@inproceedings{tricomi-2024-mining,
author = {Pier Paolo Tricomi and
Luca Pajola and
Luca Pasa and
Mauro Conti},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Roy Ka-Wei Lee and
Ravi Kumar and
Hady Wirawan Lauw},
title = {{"All of Me": Mining Users' Attributes from their Public Spotify Playlists}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024}},
pages = {963--966},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589335.3651459},
doi = {https://doi.org/10.1145/3589335.3651459}
}