Continuation methods and curriculum learning for learning to rank

Nicola Ferro; Maria Maistro; Claudio Lucchese; Raffaele Perego

doi:10.1145/3269206.3269239

Continuation methods and curriculum learning for learning to rank

Nicola Ferro, Maria Maistro, Claudio Lucchese, Raffaele Perego

4 Citationer (Scopus)

Abstract

In this paper we explore the use of Continuation Methods and Curriculum Learning techniques in the area of Learning to Rank. The basic idea is to design the training process as a learning path across increasingly complex training instances and objective functions. We propose to instantiate continuation methods in Learning to Rank by changing the IR measure to optimize during training, and we present two different curriculum learning strategies to identify easy training examples. Experimental results show that simple continuation methods are more promising than curriculum learning ones since they allow for slightly improving the performance of state-of-the-art ?-MART models and provide a faster convergence speed.

Originalsprog	Engelsk
Titel	CIKM 2018 - Proceedings of the 27th ACM International Conference on Information and Knowledge Management
Redaktører	Norman Paton, Selcuk Candan, Haixun Wang, James Allan, Rakesh Agrawal, Alexandros Labrinidis, Alfredo Cuzzocrea, Mohammed Zaki, Divesh Srivastava, Andrei Broder, Assaf Schuster
Antal sider	4
Forlag	Association for Computing Machinery, Inc.
Publikationsdato	17 okt. 2018
Sider	1523-1526
ISBN (Elektronisk)	9781450360142
DOI	https://doi.org/10.1145/3269206.3269239
Status	Udgivet - 17 okt. 2018
Udgivet eksternt	Ja
Begivenhed	27th ACM International Conference on Information and Knowledge Management, CIKM 2018 - Torino, Italien Varighed: 22 okt. 2018 → 26 okt. 2018

Konference

Konference	27th ACM International Conference on Information and Knowledge Management, CIKM 2018
Land/Område	Italien
By	Torino
Periode	22/10/2018 → 26/10/2018
Sponsor	ACM SIGIR, ACM SIGWEB

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10.1145/3269206.3269239

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Citationsformater

Ferro, N., Maistro, M., Lucchese, C., & Perego, R. (2018). Continuation methods and curriculum learning for learning to rank. I N. Paton, S. Candan, H. Wang, J. Allan, R. Agrawal, A. Labrinidis, A. Cuzzocrea, M. Zaki, D. Srivastava, A. Broder, & A. Schuster (red.), CIKM 2018 - Proceedings of the 27th ACM International Conference on Information and Knowledge Management (s. 1523-1526). Association for Computing Machinery, Inc.. https://doi.org/10.1145/3269206.3269239

Continuation methods and curriculum learning for learning to rank. / Ferro, Nicola; Maistro, Maria; Lucchese, Claudio et al.

CIKM 2018 - Proceedings of the 27th ACM International Conference on Information and Knowledge Management. red. / Norman Paton; Selcuk Candan; Haixun Wang; James Allan; Rakesh Agrawal; Alexandros Labrinidis; Alfredo Cuzzocrea; Mohammed Zaki; Divesh Srivastava; Andrei Broder; Assaf Schuster. Association for Computing Machinery, Inc., 2018. s. 1523-1526.

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

Ferro, N, Maistro, M, Lucchese, C & Perego, R 2018, Continuation methods and curriculum learning for learning to rank. i N Paton, S Candan, H Wang, J Allan, R Agrawal, A Labrinidis, A Cuzzocrea, M Zaki, D Srivastava, A Broder & A Schuster (red), CIKM 2018 - Proceedings of the 27th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, Inc., s. 1523-1526, 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italien, 22/10/2018. https://doi.org/10.1145/3269206.3269239

Ferro N, Maistro M, Lucchese C, Perego R. Continuation methods and curriculum learning for learning to rank. I Paton N, Candan S, Wang H, Allan J, Agrawal R, Labrinidis A, Cuzzocrea A, Zaki M, Srivastava D, Broder A, Schuster A, red., CIKM 2018 - Proceedings of the 27th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, Inc. 2018. s. 1523-1526 doi: 10.1145/3269206.3269239

Ferro, Nicola ; Maistro, Maria ; Lucchese, Claudio et al. / Continuation methods and curriculum learning for learning to rank. CIKM 2018 - Proceedings of the 27th ACM International Conference on Information and Knowledge Management. red. / Norman Paton ; Selcuk Candan ; Haixun Wang ; James Allan ; Rakesh Agrawal ; Alexandros Labrinidis ; Alfredo Cuzzocrea ; Mohammed Zaki ; Divesh Srivastava ; Andrei Broder ; Assaf Schuster. Association for Computing Machinery, Inc., 2018. s. 1523-1526

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Continuation methods and curriculum learning for learning to rank

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