On the Effect of Low-Ranked Documents: A New Sampling Function for Selective Gradient Boosting-Reference-Cited by-同舟云学术

On the Effect of Low-Ranked Documents: A New Sampling Function for Selective Gradient Boosting

Published:2023-03-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing
language:
Short-container-title:

Author:

Lucchese Claudio¹^ORCID,Marcuzzi Federico¹^ORCID,Orlando Salvatore¹^ORCID

Affiliation:

1. Università Ca' Foscari Venezia, Venice, Italy

Funder

PNRR (Mission 4.2, Investment 1.5) NextGeneration EU

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3555776.3577597

Reference18 articles.

1. Document selection methodologies for efficient and effective learning-to-rank

2. An Alternative Cross Entropy Loss for Learning-to-Rank

3. Olivier Chapelle and Yi Chang . 2011 . Yahoo! Learning to Rank Challenge Overview . In Proceedings of the Yahoo! Learning to Rank Challenge, held at ICML 2010, Haifa, Israel, June 25, 2010 (JMLR Proceedings), Olivier Chapelle, Yi Chang, and Tie-Yan Liu (Eds.) , Vol. 14 . JMLR.org, 1--24. http://proceedings.mlr.press/v14/chapelle11a.html Olivier Chapelle and Yi Chang. 2011. Yahoo! Learning to Rank Challenge Overview. In Proceedings of the Yahoo! Learning to Rank Challenge, held at ICML 2010, Haifa, Israel, June 25, 2010 (JMLR Proceedings), Olivier Chapelle, Yi Chang, and Tie-Yan Liu (Eds.), Vol. 14. JMLR.org, 1--24. http://proceedings.mlr.press/v14/chapelle11a.html

4. John Chen , Vatsal Shah , and Anastasios Kyrillidis . 2020 . Negative sampling in semi-supervised learning . In International Conference on Machine Learning. PMLR, 1704--1714 . John Chen, Vatsal Shah, and Anastasios Kyrillidis. 2020. Negative sampling in semi-supervised learning. In International Conference on Machine Learning. PMLR, 1704--1714.

5. Ronald A. Fisher . 1935. The design of experiments . 1935 . Oliver and Boyd , Edinburgh . Ronald A. Fisher. 1935. The design of experiments. 1935. Oliver and Boyd, Edinburgh.