LFM-2b: A Dataset of Enriched Music Listening Events for Recommender Systems Research and Fairness Analysis.
Markus Schedl|Stefan Brandl|Oleg Lesota|Emilia Parada-Cabaleiro|David Penz|Navid Rekabsaz
| Anthology ID: | DBLP:conf/chiir/SchedlBLPPR22 |
|---|---|
| Volume: | CHIIR '22: ACM SIGIR Conference on Human Information Interaction and Retrieval, Regensburg, Germany, March 14 - 18, 2022 |
| Year: | 2022 |
| Venue: | Conference on Human Information Interaction and Retrieval (CHIIR) |
| Publisher: | ACM |
| Pages: | 337-341 |
| URL: | https://doi.org/10.1145/3498366.3505791 |
| DOI: | https://doi.org/10.1145/3498366.3505791 |
| DBLP: | conf/chiir/SchedlBLPPR22 |
| BibTeX: |
@inproceedings{schedl-2022-lfm2b,
author = {Markus Schedl and
Stefan Brandl and
Oleg Lesota and
Emilia Parada-Cabaleiro and
David Penz and
Navid Rekabsaz},
editor = {David Elsweiler},
title = {{LFM-2b: A Dataset of Enriched Music Listening Events for Recommender Systems Research and Fairness Analysis}},
booktitle = {{CHIIR '22: ACM SIGIR Conference on Human Information Interaction and Retrieval, Regensburg, Germany, March 14 - 18, 2022}},
pages = {337--341},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3498366.3505791},
doi = {https://doi.org/10.1145/3498366.3505791}
}