Filtering out Outliers in Learning to Rank

Author:

Marcuzzi Federico1,Lucchese Claudio1,Orlando Salvatore1

Affiliation:

1. Università Ca' Foscari Venezia, Venice, Italy

Publisher

ACM

Reference24 articles.

1. Curriculum learning

2. Sebastian Bruch . 2021 . An Alternative Cross Entropy Loss for Learning-to-Rank. In WWW '21: The Web Conference 2021 , Virtual Event / Ljubljana, Slovenia, April 19--23 , 2021, Jure Leskovec, Marko Grobelnik, Marc Najork, Jie Tang, and Leila Zia (Eds.). ACM / IW3C2, 118--126. https://doi.org/10.1145/3442381.3449794 10.1145/3442381.3449794 Sebastian Bruch. 2021. An Alternative Cross Entropy Loss for Learning-to-Rank. In WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19--23, 2021, Jure Leskovec, Marko Grobelnik, Marc Najork, Jie Tang, and Leila Zia (Eds.). ACM / IW3C2, 118--126. https://doi.org/10.1145/3442381.3449794

3. Vitor R Carvalho , Jonathan L Elsas , William W Cohen , and Jaime G Carbonell . 2008 . A meta-learning approach for robust rank learning . In SIGIR 2008 workshop on learning to rank for information retrieval , Vol. 1 . Vitor R Carvalho, Jonathan L Elsas, William W Cohen, and Jaime G Carbonell. 2008. A meta-learning approach for robust rank learning. In SIGIR 2008 workshop on learning to rank for information retrieval, Vol. 1.

4. 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 , Vol. 14), Olivier Chapelle, Yi Chang, and Tie-Yan Liu (Eds.). 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, Vol. 14), Olivier Chapelle, Yi Chang, and Tie-Yan Liu (Eds.). JMLR.org, 1--24. http://proceedings.mlr.press/v14/chapelle11a.html

5. Large-scale validation and analysis of interleaved search evaluation

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