Towards Open-World Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach

Cite

Text

Xu et al. "Towards Open-World Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024. doi:10.1007/978-3-031-70341-6_10

Markdown

[Xu et al. "Towards Open-World Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024.](https://mlanthology.org/ecmlpkdd/2024/xu2024ecmlpkdd-openworld/) doi:10.1007/978-3-031-70341-6_10

BibTeX

@inproceedings{xu2024ecmlpkdd-openworld,
  title     = {{Towards Open-World Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach}},
  author    = {Xu, Wujiang and Ning, Xuying and Lin, Wenfang and Ha, Mingming and Ma, Qiongxu and Liang, Qianqiao and Tao, Xuewen and Chen, Linxun and Han, Bing and Luo, Minnan},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2024},
  pages     = {161-179},
  doi       = {10.1007/978-3-031-70341-6_10},
  url       = {https://mlanthology.org/ecmlpkdd/2024/xu2024ecmlpkdd-openworld/}
}