Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1301.0600
Cited By
v1
v2 (latest)
An MDP-based Recommender System
12 December 2012
Guy Shani
Ronen I. Brafman
David Heckerman
LRM
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"An MDP-based Recommender System"
38 / 88 papers shown
Title
Empirical Analysis of Session-Based Recommendation Algorithms
Malte Ludewig
Noemi Mauro
Sara Latifi
Dietmar Jannach
81
94
0
28 Oct 2019
Personalized Graph Neural Networks with Attention Mechanism for Session-Aware Recommendation
Mengqi Zhang
Shu Wu
Meng Gao
Xin Jiang
Ke Xu
Liang Wang
81
43
0
20 Oct 2019
RecSim: A Configurable Simulation Platform for Recommender Systems
Eugene Ie
Chih-Wei Hsu
Martin Mladenov
Vihan Jain
Sanmit Narvekar
Jing Wang
Rui Wu
Craig Boutilier
115
183
0
11 Sep 2019
Measuring the Business Value of Recommender Systems
Dietmar Jannach
Michael Jugovac
OffRL
58
175
0
22 Aug 2019
Toward Simulating Environments in Reinforcement Learning Based Recommendations
Xiangyu Zhao
Long Xia
Zhuoye Ding
Dawei Yin
Jiliang Tang
82
25
0
27 Jun 2019
Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology
Eugene Ie
Vihan Jain
Jing Wang
Sanmit Narvekar
Ritesh Agarwal
...
Vince Gatto
Paul Covington
Jim McFadden
Tushar Chandra
Craig Boutilier
OffRL
140
70
0
29 May 2019
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
On the Generalization Gap in Reparameterizable Reinforcement Learning
Huan Wang
Stephan Zheng
Caiming Xiong
R. Socher
115
41
0
29 May 2019
Latent Variable Session-Based Recommendation
D. Rohde
Stephen Bonner
BDL
39
3
0
24 Apr 2019
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
Fei Sun
Jun Liu
Jian Wu
Changhua Pei
Xiao Lin
Wenwu Ou
Peng Jiang
BDL
HAI
201
2,192
0
14 Apr 2019
Diagnosing Bottlenecks in Deep Q-learning Algorithms
Justin Fu
Aviral Kumar
Matthew Soh
Sergey Levine
OffRL
85
142
0
26 Feb 2019
Learning Action Representations for Reinforcement Learning
Yash Chandak
Georgios Theocharous
James E. Kostas
Scott M. Jordan
Philip S. Thomas
71
164
0
01 Feb 2019
Scalable Realistic Recommendation Datasets through Fractal Expansions
Francois Belletti
K. Lakshmanan
Walid Krichene
Yi-Fan Chen
John R. Anderson
96
19
0
23 Jan 2019
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
Session-based Recommendation with Graph Neural Networks
Shu Wu
Yuyuan Tang
Yanqiao Zhu
Liang Wang
Xing Xie
Tieniu Tan
GNN
78
1,567
0
01 Nov 2018
An Ontology-Based Recommender System with an Application to the Star Trek Television Franchise
Paul Sheridan
Mikael Onsjö
Claudia Becerra
Sergio Jiménez
George Dueñas
11
10
0
31 Jul 2018
Handling Cold-Start Collaborative Filtering with Reinforcement Learning
Hima Varsha Dureddy
Zachary Kaden
OffRL
HAI
31
3
0
16 Jun 2018
A Lyapunov-based Approach to Safe Reinforcement Learning
Yinlam Chow
Ofir Nachum
Edgar A. Duénez-Guzmán
Mohammad Ghavamzadeh
165
508
0
20 May 2018
Evaluation of Session-based Recommendation Algorithms
Malte Ludewig
Dietmar Jannach
61
296
0
26 Mar 2018
Sequence-Aware Recommender Systems
Massimo Quadrana
Paolo Cremonesi
Dietmar Jannach
92
482
0
23 Feb 2018
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
Policy Gradients for Contextual Recommendations
Feiyang Pan
Qingpeng Cai
Pingzhong Tang
Fuzhen Zhuang
Qing He
OffRL
66
40
0
12 Feb 2018
Safe Exploration in Continuous Action Spaces
Gal Dalal
Krishnamurthy Dvijotham
Matej Vecerík
Todd Hester
Cosmin Paduraru
Yuval Tassa
53
443
0
26 Jan 2018
Reinforcement Learning based Recommender System using Biclustering Technique
Sungwoon Choi
Heonseok Ha
Uiwon Hwang
Chanju Kim
Jung-Woo Ha
Sungroh Yoon
OffRL
99
70
0
17 Jan 2018
Deep Reinforcement Learning for List-wise Recommendations
Xiangyu Zhao
Li Zhang
Yue Zhao
Zhuoye Ding
Dawei Yin
Jiliang Tang
122
173
0
30 Dec 2017
Improving Session Recommendation with Recurrent Neural Networks by Exploiting Dwell Time
Alexander Dallmann
Alexander Grimm
Christian Pölitz
Daniel Zoller
Andreas Hotho
34
15
0
30 Jun 2017
Recurrent Latent Variable Networks for Session-Based Recommendation
S. Chatzis
Panayiotis Christodoulou
A. Andreou
BDL
58
42
0
13 Jun 2017
Deep Q-learning from Demonstrations
Todd Hester
Matej Vecerík
Olivier Pietquin
Marc Lanctot
Tom Schaul
...
Gabriel Dulac-Arnold
Ian Osband
J. Agapiou
Joel Z Leibo
A. Gruslys
OffRL
92
156
0
12 Apr 2017
Partially Observable Markov Decision Process for Recommender Systems
Zhongqi Lu
Qiang Yang
91
27
0
28 Aug 2016
Collaborative Filtering with Recurrent Neural Networks
Robin Devooght
H. Bersini
72
89
0
26 Aug 2016
Vista: A Visually, Socially, and Temporally-aware Model for Artistic Recommendation
Ruining He
Chen Fang
Zhaowen Wang
Julian McAuley
66
145
0
15 Jul 2016
Personalized Course Sequence Recommendations
Jie Xu
Tianwei Xing
M. Schaar
71
83
0
30 Dec 2015
Risk-Constrained Reinforcement Learning with Percentile Risk Criteria
Yinlam Chow
Mohammad Ghavamzadeh
Lucas Janson
Marco Pavone
96
516
0
05 Dec 2015
Deep Reinforcement Learning with Attention for Slate Markov Decision Processes with High-Dimensional States and Actions
P. Sunehag
Richard Evans
Gabriel Dulac-Arnold
Yori Zwols
D. Visentin
Ben Coppin
120
43
0
03 Dec 2015
Exploration in Interactive Personalized Music Recommendation: A Reinforcement Learning Approach
Xinxi Wang
Yi Wang
David Hsu
Ye Wang
99
113
0
06 Nov 2013
Distributed Online Learning in Social Recommender Systems
Cem Tekin
Simpson Zhang
M. Schaar
OffRL
121
65
0
26 Sep 2013
Personalized News Recommendation with Context Trees
Florent Garcin
Christos Dimitrakakis
Boi Faltings
110
179
0
04 Mar 2013
Maximum Entropy for Collaborative Filtering
Lawrence Zitnick
T. Kanade
61
66
0
11 Jul 2012
Previous
1
2