Tenrec: A large-scale multipurpose benchmark dataset for recommender systems

G Yuan, F Yuan, Y Li, B Kong, S Li… - Advances in …, 2022 - proceedings.neurips.cc
Existing benchmark datasets for recommender systems (RS) either are created at a small
scale or involve very limited forms of user feedback. RS models evaluated on such datasets …
被引用次数：14 相关文章

Tenrec: a large-scale multipurpose benchmark dataset for recommender systems

G Yuan, F Yuan, Y Li, B Kong, S Li, L Chen… - Proceedings of the 36th …, 2022 - dl.acm.org
Existing benchmark datasets for recommender systems (RS) either are created at a small
scale or involve very limited forms of user feedback. RS models evaluated on such datasets …

Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems

G Yuan, F Yuan, Y Li, B Kong, S Li, L Chen… - arXiv preprint arXiv …, 2022 - arxiv.org
Existing benchmark datasets for recommender systems (RS) either are created at a small
scale or involve very limited forms of user feedback. RS models evaluated on such datasets …

Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems

G Yuan, F Yuan, Y Li, B Kong, S Li, L Chen… - arXiv e …, 2022 - ui.adsabs.harvard.edu
Existing benchmark datasets for recommender systems (RS) either are created at a small
scale or involve very limited forms of user feedback. RS models evaluated on such datasets …

Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems

G Yuan, F Yuan, Y Li, B Kong, S Li, L Chen… - Thirty-sixth Conference … - openreview.net
Existing benchmark datasets for recommender systems (RS) either are created at a small
scale or involve very limited forms of user feedback. RS models evaluated on such datasets …