Pairwise Learning to Rank by Neural Networks Revisited: Reconstruction, Theoretical Analysis and Practical Performance

Cite

Text

Köppel et al. "Pairwise Learning to Rank by Neural Networks Revisited: Reconstruction, Theoretical Analysis and Practical Performance." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2019. doi:10.1007/978-3-030-46133-1_15

Markdown

[Köppel et al. "Pairwise Learning to Rank by Neural Networks Revisited: Reconstruction, Theoretical Analysis and Practical Performance." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2019.](https://mlanthology.org/ecmlpkdd/2019/koppel2019ecmlpkdd-pairwise/) doi:10.1007/978-3-030-46133-1_15

BibTeX

@inproceedings{koppel2019ecmlpkdd-pairwise,
  title     = {{Pairwise Learning to Rank by Neural Networks Revisited: Reconstruction, Theoretical Analysis and Practical Performance}},
  author    = {Köppel, Marius and Segner, Alexander and Wagener, Martin and Pensel, Lukas and Karwath, Andreas and Kramer, Stefan},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2019},
  pages     = {237-252},
  doi       = {10.1007/978-3-030-46133-1_15},
  url       = {https://mlanthology.org/ecmlpkdd/2019/koppel2019ecmlpkdd-pairwise/}
}