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2003.00359
Cited By
Contextual-Bandit Based Personalized Recommendation with Time-Varying User Interests
AAAI Conference on Artificial Intelligence (AAAI), 2020
29 February 2020
X. Xu
Fang Dong
Yanghua Li
Shaojian He
Xuzhao Li
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Papers citing
"Contextual-Bandit Based Personalized Recommendation with Time-Varying User Interests"
18 / 18 papers shown
ENCODE: Breaking the Trade-Off Between Performance and Efficiency in Long-Term User Behavior Modeling
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2025
Wenji Zhou
Yuhang Zheng
Yinfu Feng
Yunan Ye
Rong Xiao
Long Chen
Xiaosong Yang
Jun Xiao
164
5
0
19 Aug 2025
Exploitation Over Exploration: Unmasking the Bias in Linear Bandit Recommender Offline Evaluation
ACM Conference on Recommender Systems (RecSys), 2025
Pedro R. Pires
Gregório F. Azevedo
Pietro L. Campos
Rafael T. Sereicikas
Tiago A. Almeida
OffRL
214
0
0
24 Jul 2025
CoCoB: Adaptive Collaborative Combinatorial Bandits for Online Recommendation
Cairong Yan
Jinyi Han
Jin Ju
Yanting Zhang
Zijian Wang
Xuan Shao
253
0
0
05 May 2025
Learn to Bid as a Price-Maker Wind Power Producer
Shobhit Singhal
Marta Fochesato
Liviu Aolaritei
Florian Dorfler
470
1
0
20 Mar 2025
PAK-UCB Contextual Bandit: An Online Learning Approach to Prompt-Aware Selection of Generative Models and LLMs
Xiaoyan Hu
Ho-fung Leung
Farzan Farnia
1.0K
6
0
17 Oct 2024
Revisiting Matrix Sketching in Linear Bandits: Achieving Sublinear Regret via Dyadic Block Sketching
Dongxie Wen
Hanyan Yin
Xiao Zhang
Zhewei Wei
Lijun Zhang
Zhewei Wei
286
2
0
14 Oct 2024
Diminishing Exploration: A Minimalist Approach to Piecewise Stationary Multi-Armed Bandits
Kuan-Ta Li
Ping-Chun Hsieh
Yu-Chih Huang
202
2
0
08 Oct 2024
Bidirectional Gated Mamba for Sequential Recommendation
AAAI Conference on Artificial Intelligence (AAAI), 2024
Ziwei Liu
Qidong Liu
Yejing Wang
Wanyu Wang
Pengyue Jia
Xinjian Zhao
Zitao Liu
Yi Chang
Xiangyu Zhao
Mamba
397
4
0
21 Aug 2024
Marginal Density Ratio for Off-Policy Evaluation in Contextual Bandits
Neural Information Processing Systems (NeurIPS), 2023
Muhammad Faaiz Taufiq
Arnaud Doucet
Rob Cornish
Jean-François Ton
OffRL
359
10
0
03 Dec 2023
HyperBandit: Contextual Bandit with Hypernewtork for Time-Varying User Preferences in Streaming Recommendation
International Conference on Information and Knowledge Management (CIKM), 2023
Chenglei Shen
Xiao Zhang
Wei Wei
Juncai Xu
AI4TS
214
19
0
14 Aug 2023
Online Learning with Costly Features in Non-stationary Environments
Saeed Ghoorchian
E. Kortukov
S. Maghsudi
OffRL
304
1
0
18 Jul 2023
Non-stationary Delayed Combinatorial Semi-Bandit with Causally Related Rewards
IEEE Open Journal of Signal Processing (IEEE Open J. Signal Process.), 2023
Saeed Ghoorchian
S. Maghsudi
248
1
0
18 Jul 2023
Linear Bandits with Memory: from Rotting to Rising
Giulia Clerici
Pierre Laforgue
Nicolò Cesa-Bianchi
257
3
0
16 Feb 2023
Maximum entropy exploration in contextual bandits with neural networks and energy based models
A. Elwood
Marco Leonardi
A. Mohamed
A. Rozza
243
2
0
12 Oct 2022
Generalized Reinforcement Learning: Experience Particles, Action Operator, Reinforcement Field, Memory Association, and Decision Concepts
Po-Hsiang Chiu
Manfred Huber
AI4CE
269
0
0
09 Aug 2022
Truncated LinUCB for Stochastic Linear Bandits
Yanglei Song
Meng zhou
580
0
0
23 Feb 2022
Learning to Rank For Push Notifications Using Pairwise Expected Regret
Yuguang Yue
Yuanpu Xie
Huasen Wu
Haofeng Jia
Shaodan Zhai
Wenzhe Shi
Jonathan J. Hunt
209
6
0
19 Jan 2022
Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Xiaocong Chen
Lina Yao
Xianzhi Wang
Aixin Sun
Wenjie Zhang
Quan Z. Sheng
268
12
0
03 May 2021
1
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