On the Consistency, Discriminative Power and Robustness of Sampled Metrics in Offline Top-N Recommender System Evaluation

Yang Liu, Alan Medlar, Dorota Glowacka. On the Consistency, Discriminative Power and Robustness of Sampled Metrics in Offline Top-N Recommender System Evaluation. In Jie Zhang 0002, Li Chen 0009, Shlomo Berkovsky, Min Zhang 0006, Tommaso Di Noia, Justin Basilico, Luiz Pizzato, Yang Song, editors, Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023, Singapore, Singapore, September 18-22, 2023. pages 1152-1157, ACM, 2023. [doi]

@inproceedings{LiuMG23a,
  title = {On the Consistency, Discriminative Power and Robustness of Sampled Metrics in Offline Top-N Recommender System Evaluation},
  author = {Yang Liu and Alan Medlar and Dorota Glowacka},
  year = {2023},
  doi = {10.1145/3604915.3610651},
  url = {https://doi.org/10.1145/3604915.3610651},
  researchr = {https://researchr.org/publication/LiuMG23a},
  cites = {0},
  citedby = {0},
  pages = {1152-1157},
  booktitle = {Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023, Singapore, Singapore, September 18-22, 2023},
  editor = {Jie Zhang 0002 and Li Chen 0009 and Shlomo Berkovsky and Min Zhang 0006 and Tommaso Di Noia and Justin Basilico and Luiz Pizzato and Yang Song},
  publisher = {ACM},
}