An In-Depth Comparison of Neural and Probabilistic Tree Models for Learning-to-rank

Haonan Tan, Kaiyu Yang, Haitao Yu 0003. An In-Depth Comparison of Neural and Probabilistic Tree Models for Learning-to-rank. In Nazli Goharian, Nicola Tonellotto, Yulan He 0001, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis, editors, Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part III. Volume 14610 of Lecture Notes in Computer Science, pages 468-476, Springer, 2024. [doi]

@inproceedings{TanYY24-0,
  title = {An In-Depth Comparison of Neural and Probabilistic Tree Models for Learning-to-rank},
  author = {Haonan Tan and Kaiyu Yang and Haitao Yu 0003},
  year = {2024},
  doi = {10.1007/978-3-031-56063-7_39},
  url = {https://doi.org/10.1007/978-3-031-56063-7_39},
  researchr = {https://researchr.org/publication/TanYY24-0},
  cites = {0},
  citedby = {0},
  pages = {468-476},
  booktitle = {Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part III},
  editor = {Nazli Goharian and Nicola Tonellotto and Yulan He 0001 and Aldo Lipani and Graham McDonald and Craig Macdonald and Iadh Ounis},
  volume = {14610},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-56063-7},
}