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

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