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Deep Reinforcement Learning for List-wise Recommendations
v1v2v3 (latest)

Deep Reinforcement Learning for List-wise Recommendations

30 December 2017
Xiangyu Zhao
Li Zhang
Yue Zhao
Zhuoye Ding
Dawei Yin
Jiliang Tang
ArXiv (abs)PDFHTML

Papers citing "Deep Reinforcement Learning for List-wise Recommendations"

28 / 28 papers shown
Title
Reinforcing User Retention in a Billion Scale Short Video Recommender
  System
Reinforcing User Retention in a Billion Scale Short Video Recommender System
Qingpeng Cai
Shuchang Liu
Xueliang Wang
Tianyou Zuo
Wentao Xie
Bin Yang
Dong Zheng
Peng Jiang
Kun Gai
OffRL
78
41
0
03 Feb 2023
Two-Stage Constrained Actor-Critic for Short Video Recommendation
Two-Stage Constrained Actor-Critic for Short Video Recommendation
Qingpeng Cai
Zhenghai Xue
Chi Zhang
Wanqi Xue
Shuchang Liu
...
Tianyou Zuo
Wentao Xie
Dong Zheng
Peng Jiang
Kun Gai
OffRLCML
75
44
0
03 Feb 2023
RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the
  BERT Model Boosted by an Improved ABC Algorithm
RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC Algorithm
Hamid Gharagozlou
J. Mohammadzadeh
A. Bastanfard
S. S. Ghidary
48
34
0
07 Jan 2023
Constrained Reinforcement Learning for Short Video Recommendation
Constrained Reinforcement Learning for Short Video Recommendation
Qingpeng Cai
Ruohan Zhan
Chi Zhang
Jie Zheng
Guangwei Ding
Pinghua Gong
Dong Zheng
Peng Jiang
67
6
0
26 May 2022
Sequential/Session-based Recommendations: Challenges, Approaches,
  Applications and Opportunities
Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities
Shoujin Wang
Qi Zhang
Liang Hu
Xiuzhen Zhang
Yan Wang
Charu C. Aggarwal
116
39
0
22 May 2022
Sequential Search with Off-Policy Reinforcement Learning
Sequential Search with Off-Policy Reinforcement Learning
Dadong Miao
Yanan Wang
Guoyu Tang
Lin Liu
Sulong Xu
Bo Long
Yun Xiao
Lingfei Wu
Yunjiang Jiang
OffRL
41
3
0
01 Feb 2022
FINN.no Slates Dataset: A new Sequential Dataset Logging Interactions,
  allViewed Items and Click Responses/No-Click for Recommender Systems Research
FINN.no Slates Dataset: A new Sequential Dataset Logging Interactions, allViewed Items and Click Responses/No-Click for Recommender Systems Research
Simen Eide
A. Frigessi
Helge Jenssen
David S. Leslie
Joakim Rishaug
Sofie Verrewaere
29
12
0
05 Nov 2021
D2RLIR : an improved and diversified ranking function in interactive
  recommendation systems based on deep reinforcement learning
D2RLIR : an improved and diversified ranking function in interactive recommendation systems based on deep reinforcement learning
Vahid Baghi
Seyed Mohammad Seyed Motehayeri
A. Moeini
R. Abedian
25
1
0
28 Oct 2021
A Survey of Deep Reinforcement Learning in Recommender Systems: A
  Systematic Review and Future Directions
A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions
Xiaocong Chen
L. Yao
Julian McAuley
Guanglin Zhou
Xianzhi Wang
AI4TS
79
62
0
08 Sep 2021
Top-N Recommendation with Counterfactual User Preference Simulation
Top-N Recommendation with Counterfactual User Preference Simulation
Mengyue Yang
Quanyu Dai
Zhenhua Dong
Xu Chen
Xiuqiang He
Jun Wang
CMLBDL
114
68
0
02 Sep 2021
Reinforcement Learning to Optimize Lifetime Value in Cold-Start
  Recommendation
Reinforcement Learning to Optimize Lifetime Value in Cold-Start Recommendation
Luo Ji
Qin Qi
Bingqing Han
Hongxia Yang
OffRL
55
28
0
20 Aug 2021
Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit
  Assignment
Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment
Tianze Zhou
Fubiao Zhang
Kun Shao
Kai Li
Wenhan Huang
...
Hangyu Mao
Bin Wang
Dong Li
Wulong Liu
Jianye Hao
82
17
0
01 Jun 2021
Deep Reinforcement Learning-Based Product Recommender for Online
  Advertising
Deep Reinforcement Learning-Based Product Recommender for Online Advertising
Milad Vaali Esfahaani
Yanbo Xue
P. Setoodeh
OffRL
28
3
0
30 Jan 2021
Measuring Recommender System Effects with Simulated Users
Measuring Recommender System Effects with Simulated Users
Sirui Yao
Yoni Halpern
Nithum Thain
Xuezhi Wang
Kang Lee
Flavien Prost
Ed H. Chi
Jilin Chen
Alex Beutel
104
49
0
12 Jan 2021
Knowledge Transfer via Pre-training for Recommendation: A Review and
  Prospect
Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect
Zheni Zeng
Chaojun Xiao
Yuan Yao
Ruobing Xie
Zhiyuan Liu
Fen Lin
Leyu Lin
Maosong Sun
VLM
67
41
0
19 Sep 2020
A Text-based Deep Reinforcement Learning Framework for Interactive
  Recommendation
A Text-based Deep Reinforcement Learning Framework for Interactive Recommendation
Chaoyang Wang
Zhiqiang Guo
Jianjun Li
Peng Pan
Guohui Li
62
5
0
14 Apr 2020
Learning to Recommend via Meta Parameter Partition
Learning to Recommend via Meta Parameter Partition
Liang Zhao
Yang Wang
Daxiang Dong
Hao Tian
OffRLCLL
79
7
0
04 Dec 2019
DEAR: Deep Reinforcement Learning for Online Advertising Impression in
  Recommender Systems
DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems
Xiangyu Zhao
Changsheng Gu
Haoshenglun Zhang
Xiwang Yang
Xiaobing Liu
Jiliang Tang
Hui Liu
OffRL
77
102
0
09 Sep 2019
Off-policy Learning for Multiple Loggers
Off-policy Learning for Multiple Loggers
Li He
Long Xia
Wei Zeng
Zhi-Ming Ma
Yue Zhao
Dawei Yin
OffRL
57
10
0
23 Jul 2019
Combinatorial Keyword Recommendations for Sponsored Search with Deep
  Reinforcement Learning
Combinatorial Keyword Recommendations for Sponsored Search with Deep Reinforcement Learning
Zhipeng Li
Jianwei Wu
Lin Sun
Tao Rong
OffRL
38
2
0
18 Jul 2019
Toward Simulating Environments in Reinforcement Learning Based
  Recommendations
Toward Simulating Environments in Reinforcement Learning Based Recommendations
Xiangyu Zhao
Long Xia
Zhuoye Ding
Dawei Yin
Jiliang Tang
82
25
0
27 Jun 2019
Advantage Amplification in Slowly Evolving Latent-State Environments
Advantage Amplification in Slowly Evolving Latent-State Environments
Martin Mladenov
Ofer Meshi
Jayden Ooi
Dale Schuurmans
Craig Boutilier
OffRL
82
9
0
29 May 2019
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale
  Ride-Hailing Platforms
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms
Jiarui Jin
M. Zhou
Weinan Zhang
Minne Li
Zilong Guo
...
Xiaocheng Tang
Chenxi Wang
Jun Wang
Guobin Wu
Jieping Ye
54
100
0
27 May 2019
Deep Reinforcement Learning for Imbalanced Classification
Deep Reinforcement Learning for Imbalanced Classification
Enlu Lin
Qiong Chen
Xiaoming Qi
OffRL
51
181
0
05 Jan 2019
Generative Adversarial User Model for Reinforcement Learning Based
  Recommendation System
Generative Adversarial User Model for Reinforcement Learning Based Recommendation System
Xinshi Chen
Shuang Li
Hui Li
Shaohua Jiang
Yuan Qi
Le Song
77
209
0
27 Dec 2018
Deep reinforcement learning for search, recommendation, and online
  advertising: a survey
Deep reinforcement learning for search, recommendation, and online advertising: a survey
Xiangyu Zhao
Long Xia
Jiliang Tang
Dawei Yin
OffRL
86
84
0
18 Dec 2018
Action-conditional Sequence Modeling for Recommendation
Action-conditional Sequence Modeling for Recommendation
E. Smirnova
HAI
20
0
0
07 Sep 2018
Recommendations with Negative Feedback via Pairwise Deep Reinforcement
  Learning
Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning
Xiangyu Zhao
Li Zhang
Zhuoye Ding
Long Xia
Jiliang Tang
Dawei Yin
114
336
0
19 Feb 2018
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