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Online Learning to Rank in Stochastic Click Models

Online Learning to Rank in Stochastic Click Models

7 March 2017
M. Zoghi
Tomás Tunys
Mohammad Ghavamzadeh
B. Kveton
Csaba Szepesvári
Zheng Wen
    CML
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Papers citing "Online Learning to Rank in Stochastic Click Models"

14 / 14 papers shown
Title
Breaking the Lens of the Telescope: Online Relevance Estimation over Large Retrieval Sets
Breaking the Lens of the Telescope: Online Relevance Estimation over Large Retrieval Sets
Mandeep Rathee
Venktesh V
Sean MacAvaney
Avishek Anand
KELM
34
1
0
12 Apr 2025
Misalignment, Learning, and Ranking: Harnessing Users Limited Attention
Misalignment, Learning, and Ranking: Harnessing Users Limited Attention
Arpit Agarwal
Rad Niazadeh
Prathamesh Patil
34
0
0
21 Feb 2024
Cascading Reinforcement Learning
Cascading Reinforcement Learning
Yihan Du
R. Srikant
Wei Chen
19
0
0
17 Jan 2024
Adversarial Attacks on Online Learning to Rank with Stochastic Click
  Models
Adversarial Attacks on Online Learning to Rank with Stochastic Click Models
Zichen Wang
R. Balasubramanian
Hui Yuan
Chenyu Song
Mengdi Wang
Huazheng Wang
AAML
37
2
0
30 May 2023
Exploration of Unranked Items in Safe Online Learning to Re-Rank
Exploration of Unranked Items in Safe Online Learning to Re-Rank
Hiroaki Shiino
Kaito Ariu
Kenshi Abe
Togashi Riku
OnRL
22
0
0
02 May 2023
UniRank: Unimodal Bandit Algorithm for Online Ranking
UniRank: Unimodal Bandit Algorithm for Online Ranking
Camille-Sovanneary Gauthier
Romaric Gaudel
Elisa Fromont
26
2
0
02 Aug 2022
Carousel Personalization in Music Streaming Apps with Contextual Bandits
Carousel Personalization in Music Streaming Apps with Contextual Bandits
Walid Bendada
Guillaume Salha-Galvan
Théo Bontempelli
29
56
0
14 Sep 2020
Controlling Fairness and Bias in Dynamic Learning-to-Rank
Controlling Fairness and Bias in Dynamic Learning-to-Rank
Marco Morik
Ashudeep Singh
Jessica Hong
Thorsten Joachims
14
206
0
29 May 2020
Nearly Optimal Algorithms for Piecewise-Stationary Cascading Bandits
Nearly Optimal Algorithms for Piecewise-Stationary Cascading Bandits
Lingda Wang
Huozhi Zhou
Bingcong Li
Lav Varshney
Zhizhen Zhao
19
6
0
12 Sep 2019
Cascading Non-Stationary Bandits: Online Learning to Rank in the
  Non-Stationary Cascade Model
Cascading Non-Stationary Bandits: Online Learning to Rank in the Non-Stationary Cascade Model
Chang Li
Maarten de Rijke
26
17
0
29 May 2019
BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback
BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback
Chang Li
B. Kveton
Tor Lattimore
Ilya Markov
Maarten de Rijke
Csaba Szepesvári
M. Zoghi
OffRL
18
11
0
15 Jun 2018
Efficient Exploration of Gradient Space for Online Learning to Rank
Efficient Exploration of Gradient Space for Online Learning to Rank
Huazheng Wang
Ramsey Langley
Sonwoo Kim
Eric McCord-Snook
Hongning Wang
18
37
0
18 May 2018
Reinforcement Learning to Rank in E-Commerce Search Engine:
  Formalization, Analysis, and Application
Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application
Yujing Hu
Qing Da
Anxiang Zeng
Yang Yu
Yinghui Xu
14
179
0
02 Mar 2018
Online Learning: A Comprehensive Survey
Online Learning: A Comprehensive Survey
Guosheng Lin
Doyen Sahoo
Jing Lu
P. Zhao
OffRL
31
634
0
08 Feb 2018
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