ML-1M++: MovieLens-Compatible Additional Preferences for More Robust Offline Evaluation of Sequential Recommenders.
| Anthology ID: | DBLP:conf/cikm/Umemoto22 |
|---|---|
| Volume: | Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022 |
| Year: | 2022 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 4540-4544 |
| URL: | https://doi.org/10.1145/3511808.3557643 |
| DOI: | https://doi.org/10.1145/3511808.3557643 |
| DBLP: | conf/cikm/Umemoto22 |
| BibTeX: |
@inproceedings{umemoto-2022-ml1m,
author = {Kazutoshi Umemoto},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{ML-1M++: MovieLens-Compatible Additional Preferences for More Robust Offline Evaluation of Sequential Recommenders}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {4540--4544},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557643},
doi = {https://doi.org/10.1145/3511808.3557643}
}