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Unbiased Comparative Evaluation of Ranking Functions

Unbiased Comparative Evaluation of Ranking Functions

25 April 2016
Tobias Schnabel
Adith Swaminathan
P. Frazier
Thorsten Joachims
ArXiv (abs)PDFHTML

Papers citing "Unbiased Comparative Evaluation of Ranking Functions"

7 / 7 papers shown
Title
Counterfactual Learning To Rank for Utility-Maximizing Query
  Autocompletion
Counterfactual Learning To Rank for Utility-Maximizing Query AutocompletionAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022
Adam Block
Rahul Kidambi
Daniel N. Hill
Thorsten Joachims
Inderjit S. Dhillon
CML
164
8
0
22 Apr 2022
Peer Selection with Noisy Assessments
Peer Selection with Noisy Assessments
Omer Lev
Nicholas Mattei
P. Turrini
Stanislav Zhydkov
172
2
0
21 Jul 2021
Needle in a Haystack: Label-Efficient Evaluation under Extreme Class
  Imbalance
Needle in a Haystack: Label-Efficient Evaluation under Extreme Class ImbalanceKnowledge Discovery and Data Mining (KDD), 2020
Neil G. Marchant
Benjamin I. P. Rubinstein
126
8
0
12 Jun 2020
Fairness in Recommendation Ranking through Pairwise Comparisons
Fairness in Recommendation Ranking through Pairwise ComparisonsKnowledge Discovery and Data Mining (KDD), 2019
Alex Beutel
Jilin Chen
Tulsee Doshi
Hai Qian
Li Wei
...
Lukasz Heldt
Zhe Zhao
Lichan Hong
Ed H. Chi
Cristos Goodrow
FaML
212
411
0
02 Mar 2019
A General Framework for Counterfactual Learning-to-Rank
A General Framework for Counterfactual Learning-to-Rank
Aman Agarwal
Kenta Takatsu
Ivan Zaitsev
Thorsten Joachims
CML
198
15
0
30 Apr 2018
Effective Evaluation using Logged Bandit Feedback from Multiple Loggers
Effective Evaluation using Logged Bandit Feedback from Multiple Loggers
Aman Agarwal
Soumya Basu
Tobias Schnabel
Thorsten Joachims
OffRL
275
73
0
17 Mar 2017
Unbiased Learning-to-Rank with Biased Feedback
Unbiased Learning-to-Rank with Biased FeedbackWeb Search and Data Mining (WSDM), 2016
Thorsten Joachims
Adith Swaminathan
Tobias Schnabel
CML
350
586
0
16 Aug 2016
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