ML-1M++: MovieLens-Compatible Additional Preferences for More Robust Offline Evaluation of Sequential Recommenders

Kazutoshi Umemoto. ML-1M++: MovieLens-Compatible Additional Preferences for More Robust Offline Evaluation of Sequential Recommenders. In Mohammad Al Hasan, Li Xiong 0001, editors, Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022. pages 4540-4544, ACM, 2022. [doi]

@inproceedings{Umemoto22,
  title = {ML-1M++: MovieLens-Compatible Additional Preferences for More Robust Offline Evaluation of Sequential Recommenders},
  author = {Kazutoshi Umemoto},
  year = {2022},
  doi = {10.1145/3511808.3557643},
  url = {https://doi.org/10.1145/3511808.3557643},
  researchr = {https://researchr.org/publication/Umemoto22},
  cites = {0},
  citedby = {0},
  pages = {4540-4544},
  booktitle = {Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022},
  editor = {Mohammad Al Hasan and Li Xiong 0001},
  publisher = {ACM},
  isbn = {978-1-4503-9236-5},
}