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Contextual User Browsing Bandits for Large-Scale Online Mobile Recommendation

Contextual User Browsing Bandits for Large-Scale Online Mobile Recommendation

Xu He
Bo An
Yanghua Li
Haikai Chen
Qingyu Guo
Xuzhao Li
Zhirong Wang
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Papers citing "Contextual User Browsing Bandits for Large-Scale Online Mobile Recommendation"

16 / 16 papers shown
Title
CoCoB: Adaptive Collaborative Combinatorial Bandits for Online Recommendation
CoCoB: Adaptive Collaborative Combinatorial Bandits for Online Recommendation
Cairong Yan
Jinyi Han
Jin Ju
Yanting Zhang
Zijian Wang
Xuan Shao
39
0
0
05 May 2025
Efficient Implementation of LinearUCB through Algorithmic Improvements and Vector Computing Acceleration for Embedded Learning Systems
Efficient Implementation of LinearUCB through Algorithmic Improvements and Vector Computing Acceleration for Embedded Learning Systems
Marco Angioli
Marcello Barbirotta
Abdallah Cheikh
Antonio Mastrandrea
Francesco Menichelli
Mauro Olivieri
106
2
0
22 Jan 2025
Designing an Interpretable Interface for Contextual Bandits
Designing an Interpretable Interface for Contextual Bandits
Andrew Maher
Matia Gobbo
Lancelot Lachartre
Subash Prabanantham
Rowan Swiers
Puli Liyanagama
38
0
0
23 Sep 2024
Empathic Responding for Digital Interpersonal Emotion Regulation via Content Recommendation
Empathic Responding for Digital Interpersonal Emotion Regulation via Content Recommendation
Akriti Verma
Shama Islam
V. Moghaddam
Adnan Anwar
Sharon Horwood
28
1
0
05 Aug 2024
PASTO: Strategic Parameter Optimization in Recommendation Systems -- Probabilistic is Better than Deterministic
PASTO: Strategic Parameter Optimization in Recommendation Systems -- Probabilistic is Better than Deterministic
Weicong Ding
Hanlin Tang
Jingshuo Feng
Lei Yuan
Sen Yang
...
Dongying Kong
Kai Ren
Peng Jiang
Qiao Lian
Ji Liu
53
1
0
20 Aug 2021
GLIMG: Global and Local Item Graphs for Top-N Recommender Systems
GLIMG: Global and Local Item Graphs for Top-N Recommender Systems
Zhuoyi Lin
Lei Feng
Rui Yin
Chi Xu
C. Kwoh
14
14
0
28 Jul 2020
Offline Evaluation of Ranking Policies with Click Models
Offline Evaluation of Ranking Policies with Click Models
Shuai Li
Yasin Abbasi-Yadkori
Branislav Kveton
S. Muthukrishnan
Vishwa Vinay
Zheng Wen
CML
OffRL
34
65
0
27 Apr 2018
Online Learning to Rank in Stochastic Click Models
Online Learning to Rank in Stochastic Click Models
M. Zoghi
Tomás Tunys
Mohammad Ghavamzadeh
Branislav Kveton
Csaba Szepesvári
Zheng Wen
CML
39
107
0
07 Mar 2017
Multiple-Play Bandits in the Position-Based Model
Multiple-Play Bandits in the Position-Based Model
Paul Lagrée
Claire Vernade
Olivier Cappé
27
83
0
08 Jun 2016
Cascading Bandits for Large-Scale Recommendation Problems
Cascading Bandits for Large-Scale Recommendation Problems
Shi Zong
Hao Ni
Kenny Sung
Nan Rosemary Ke
Zheng Wen
Branislav Kveton
33
124
0
17 Mar 2016
DCM Bandits: Learning to Rank with Multiple Clicks
DCM Bandits: Learning to Rank with Multiple Clicks
S. Katariya
Branislav Kveton
Csaba Szepesvári
Zheng Wen
33
96
0
09 Feb 2016
Combinatorial Cascading Bandits
Combinatorial Cascading Bandits
Branislav Kveton
Zheng Wen
Azin Ashkan
Csaba Szepesvári
46
111
0
15 Jul 2015
Cascading Bandits: Learning to Rank in the Cascade Model
Cascading Bandits: Learning to Rank in the Cascade Model
Branislav Kveton
Csaba Szepesvári
Zheng Wen
Azin Ashkan
111
284
0
10 Feb 2015
Efficient Learning in Large-Scale Combinatorial Semi-Bandits
Efficient Learning in Large-Scale Combinatorial Semi-Bandits
Zheng Wen
Branislav Kveton
Azin Ashkan
OffRL
100
96
0
28 Jun 2014
Exploring compact reinforcement-learning representations with linear regression
Exploring compact reinforcement-learning representations with linear regression
Thomas J. Walsh
I. Szita
Carlos Diuk
Michael L. Littman
OffRL
174
114
0
09 May 2012
A Contextual-Bandit Approach to Personalized News Article Recommendation
A Contextual-Bandit Approach to Personalized News Article Recommendation
Lihong Li
Wei Chu
John Langford
Robert Schapire
277
2,935
0
28 Feb 2010