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Continuation methods and curriculum learning for learning to rank. / Ferro, Nicola; Maistro, Maria; Lucchese, Claudio; Perego, Raffaele.
CIKM 2018 - Proceedings of the 27th ACM International Conference on Information and Knowledge Management. ed. / 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. p. 1523-1526.
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Harvard
Ferro, N
, Maistro, M, Lucchese, C & Perego, R 2018,
Continuation methods and curriculum learning for learning to rank. in N Paton, S Candan, H Wang, J Allan, R Agrawal, A Labrinidis, A Cuzzocrea, M Zaki, D Srivastava, A Broder & A Schuster (eds),
CIKM 2018 - Proceedings of the 27th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, Inc., pp. 1523-1526, 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy,
22/10/2018.
https://doi.org/10.1145/3269206.3269239
APA
Ferro, N.
, Maistro, M., Lucchese, C., & Perego, R. (2018).
Continuation methods and curriculum learning for learning to rank. In N. Paton, S. Candan, H. Wang, J. Allan, R. Agrawal, A. Labrinidis, A. Cuzzocrea, M. Zaki, D. Srivastava, A. Broder, & A. Schuster (Eds.),
CIKM 2018 - Proceedings of the 27th ACM International Conference on Information and Knowledge Management (pp. 1523-1526). Association for Computing Machinery, Inc..
https://doi.org/10.1145/3269206.3269239
Vancouver
Ferro N
, Maistro M, Lucchese C, Perego R.
Continuation methods and curriculum learning for learning to rank. In Paton N, Candan S, Wang H, Allan J, Agrawal R, Labrinidis A, Cuzzocrea A, Zaki M, Srivastava D, Broder A, Schuster A, editors, CIKM 2018 - Proceedings of the 27th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, Inc. 2018. p. 1523-1526
https://doi.org/10.1145/3269206.3269239
Author
Ferro, Nicola ; Maistro, Maria ; Lucchese, Claudio ; Perego, Raffaele. / Continuation methods and curriculum learning for learning to rank. CIKM 2018 - Proceedings of the 27th ACM International Conference on Information and Knowledge Management. editor / 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. pp. 1523-1526
Bibtex
@inproceedings{3d69e6199a5142c3a5d9d4d7093f84c2,
title = "Continuation methods and curriculum learning for learning to rank",
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.",
keywords = "Curriculum learning, Lambdamart, Learning to rank",
author = "Nicola Ferro and Maria Maistro and Claudio Lucchese and Raffaele Perego",
year = "2018",
month = oct,
day = "17",
doi = "10.1145/3269206.3269239",
language = "English",
pages = "1523--1526",
editor = "Norman Paton and Selcuk Candan and Haixun Wang and James Allan and Rakesh Agrawal and Alexandros Labrinidis and Alfredo Cuzzocrea and Mohammed Zaki and Divesh Srivastava and Andrei Broder and Assaf Schuster",
booktitle = "CIKM 2018 - Proceedings of the 27th ACM International Conference on Information and Knowledge Management",
publisher = "Association for Computing Machinery, Inc.",
note = "27th ACM International Conference on Information and Knowledge Management, CIKM 2018 ; Conference date: 22-10-2018 Through 26-10-2018",
}
RIS
TY - GEN
T1 - Continuation methods and curriculum learning for learning to rank
AU - Ferro, Nicola
AU - Maistro, Maria
AU - Lucchese, Claudio
AU - Perego, Raffaele
PY - 2018/10/17
Y1 - 2018/10/17
N2 - 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.
AB - 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.
KW - Curriculum learning
KW - Lambdamart
KW - Learning to rank
UR - http://www.scopus.com/inward/record.url?scp=85058035587&partnerID=8YFLogxK
U2 - 10.1145/3269206.3269239
DO - 10.1145/3269206.3269239
M3 - Article in proceedings
AN - SCOPUS:85058035587
SP - 1523
EP - 1526
BT - CIKM 2018 - Proceedings of the 27th ACM International Conference on Information and Knowledge Management
A2 - Paton, Norman
A2 - Candan, Selcuk
A2 - Wang, Haixun
A2 - Allan, James
A2 - Agrawal, Rakesh
A2 - Labrinidis, Alexandros
A2 - Cuzzocrea, Alfredo
A2 - Zaki, Mohammed
A2 - Srivastava, Divesh
A2 - Broder, Andrei
A2 - Schuster, Assaf
PB - Association for Computing Machinery, Inc.
T2 - 27th ACM International Conference on Information and Knowledge Management, CIKM 2018
Y2 - 22 October 2018 through 26 October 2018
ER -