Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application

2 March 2018

Papers citing "Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application"

50 / 52 papers shown

Title
Improving Sequential Recommenders through Counterfactual Augmentation of System Exposure Ziqi Zhao Zhaochun Ren Jiyuan Yang Zuming Yan Zihan Wang Liu Yang Pengjie Ren Zhumin Chen Maarten de Rijke Xin Xin CML 42 0 0 18 Apr 2025
Learning to Ask: Conversational Product Search via Representation Learning Jie Zou Jimmy Xiangji Huang Zhaochun Ren Evangelos Kanoulas 109 11 0 18 Nov 2024
Ranking Policy Learning via Marketplace Expected Value Estimation From Observational Data Ehsan Ebrahimzadeh Nikhil Monga Hang Gao Alex Cozzi Abraham Bagherjeiran CML OffRL 30 0 0 06 Oct 2024
Aligning Judgment Using Task Context and Explanations to Improve Human-Recommender System Performance Divya K. Srivastava Karen Feigh 34 0 0 16 Sep 2024
UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User Experiences in Recommender Systems Changshuo Zhang Sirui Chen Xiao Zhang Sunhao Dai Weijie Yu Jun Xu OffRL 45 1 0 17 Jan 2024
On the Effectiveness of Unlearning in Session-Based Recommendation Xin Xin Liu Yang Ziqi Zhao Pengjie Ren Zhumin Chen Jun Ma Zhaochun Ren MU 34 3 0 22 Dec 2023
Towards Validating Long-Term User Feedbacks in Interactive Recommendation Systems Hojoon Lee Dongyoon Hwang Kyushik Min Jaegul Choo 18 6 0 22 Aug 2023
Understanding User Intent Modeling for Conversational Recommender Systems: A Systematic Literature Review Siamak Farshidi Kiyan Rezaee Sara Mazaheri Amir Rahimi Ali Dadashzadeh Morteza Ziabakhsh S. Eskandari S. Jansen 40 3 0 05 Aug 2023
Composing Efficient, Robust Tests for Policy Selection Dustin Morrill Thomas J. Walsh D. Hernández Peter R. Wurman Peter Stone 30 0 0 12 Jun 2023
BCRLSP: An Offline Reinforcement Learning Framework for Sequential Targeted Promotion Fanglin Chen Xiao Liu Bo Tang Zhiyu Li Serim Hwang Guomian Zhuang OffRL 25 1 0 16 Jul 2022
Contrastive language and vision learning of general fashion concepts P. Chia Giuseppe Attanasio Federico Bianchi Silvia Terragni A. Magalhães Diogo Gonçalves C. Greco Jacopo Tagliabue CLIP 26 42 0 08 Apr 2022
Who Are the Best Adopters? User Selection Model for Free Trial Item Promotion Shiqi Wang Chongming Gao Min Gao Junliang Yu Zongwei Wang Hongzhi Yin 26 10 0 19 Feb 2022
Should I send this notification? Optimizing push notifications decision making by modeling the future Conor O'Brien Huasen Wu Shaodan Zhai Dalin Guo Wenzhe Shi Jonathan J. Hunt 27 5 0 17 Feb 2022
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 18 3 0 01 Feb 2022
Fair ranking: a critical review, challenges, and future directions Gourab K. Patro Lorenzo Porcaro Laura Mitchell Qiuyue Zhang Meike Zehlike Nikhil Garg 26 51 0 29 Jan 2022
Top-K Ranking Deep Contextual Bandits for Information Selection Systems Jade Freeman Michael Rawson 35 2 0 28 Jan 2022
Supervised Advantage Actor-Critic for Recommender Systems Xin Xin Alexandros Karatzoglou Ioannis Arapakis J. Jose OffRL 24 30 0 05 Nov 2021
Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning Dusan Stamenkovic Alexandros Karatzoglou Ioannis Arapakis Xin Xin Kleomenis Katevas 32 46 0 28 Oct 2021
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 18 1 0 28 Oct 2021
RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender System Kai Wang Zhene Zou Minghao Zhao Qilin Deng Yue Shang Yile Liang Runze Wu Xudong Shen Tangjie Lyu Changjie Fan OffRL 28 9 0 18 Oct 2021
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 28 61 0 08 Sep 2021
Conditional Sequential Slate Optimization Yipeng Zhang Mingjian Lu Saratchandra Indrakanti M. Kannadasan A. Bagherjeiran 26 0 0 12 Aug 2021
Sequence Adaptation via Reinforcement Learning in Recommender Systems Stefanos Antaris Dimitrios Rafailidis 28 5 0 31 Jul 2021
Interpretable performance analysis towards offline reinforcement learning: A dataset perspective Chenyang Xi Bo Tang Jiajun Shen Xinfu Liu Zhiyu Li Xueying Li OffRL 24 1 0 12 May 2021
Deep Reinforcement Learning-Based Product Recommender for Online Advertising Milad Vaali Esfahaani Yanbo Xue P. Setoodeh OffRL 19 3 0 30 Jan 2021
Advances and Challenges in Conversational Recommender Systems: A Survey Chongming Gao Wenqiang Lei Xiangnan He Maarten de Rijke Tat-Seng Chua 138 273 0 23 Jan 2021
Adaptive Neural Architectures for Recommender Systems Dimitrios Rafailidis Stefanos Antaris 22 0 0 11 Nov 2020
Learning to Infer User Hidden States for Online Sequential Advertising Zhaoqing Peng Junqi Jin Lan Luo Yaodong Yang Rui Luo ... Chuan Yu Tiejian Luo Han Li Jian Xu Kun Gai OffRL 34 4 0 03 Sep 2020
Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication Xu He Bo An Yanghua Li Haikai Chen R. Wang Xinrun Wang Runsheng Yu Xin Zhe Li Zhirong Wang 18 29 0 21 Aug 2020
Adversarial Mixture Of Experts with Category Hierarchy Soft Constraint Zhuojian Xiao Yunjiang Jiang Guoyu Tang Lin Liu Sulong Xu Yun Xiao Weipeng P. Yan MoE 31 8 0 24 Jul 2020
Self-Supervised Reinforcement Learning for Recommender Systems Xin Xin Alexandros Karatzoglou Ioannis Arapakis J. Jose SSL OffRL 32 198 0 10 Jun 2020
Generator and Critic: A Deep Reinforcement Learning Approach for Slate Re-ranking in E-commerce Jianxiong Wei Anxiang Zeng Yueqiu Wu P. Guo Q. Hua Qingpeng Cai OffRL 27 9 0 25 May 2020
A Text-based Deep Reinforcement Learning Framework for Interactive Recommendation Chaoyang Wang Zhiqiang Guo Jianjun Li Peng Pan Guohui Li 6 5 0 14 Apr 2020
Listwise Learning to Rank with Deep Q-Networks Abhishek Sharma BDL 6 1 0 13 Feb 2020
Discrete Action On-Policy Learning with Action-Value Critic Yuguang Yue Yunhao Tang Mingzhang Yin Mingyuan Yin OffRL 14 5 0 10 Feb 2020
Online Similarity Learning with Feedback for Invoice Line Item Matching Chandresh Kumar Maurya Neelamadhav Gantayat Sampath Dechu Tomáš Horváth 6 3 0 02 Jan 2020
Corpus-Level End-to-End Exploration for Interactive Systems Zhiwen Tang G. Yang LLMAG 11 4 0 23 Nov 2019
Analysis of Evolutionary Behavior in Self-Learning Media Search Engines Nikki Lijing Kuang C. Leung 11 4 0 22 Nov 2019
Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds Dagui Chen Junqi Jin Weinan Zhang Fei Pan Lvyin Niu Chuan Yu Jun Wang Han Li Jian Xu Kun Gai 24 6 0 19 Aug 2019
Deep Reinforcement Learning for Personalized Search Story Recommendation Jason Zhang Zhang Junming Yin Dongwon Lee Linhong Zhu 33 2 0 26 Jul 2019
Mend The Learning Approach, Not the Data: Insights for Ranking E-Commerce Products Muhammad Umer Anwaar D. Rybalko M. Kleinsteuber 12 1 0 24 Jul 2019
Exploiting Cognitive Structure for Adaptive Learning Qi Liu Shiwei Tong Chuanren Liu Hongke Zhao Enhong Chen Haiping Ma Shijin Wang 20 119 0 23 May 2019
Revenue, Relevance, Arbitrage and More: Joint Optimization Framework for Search Experiences in Two-Sided Marketplaces Andrew Stanton Akhila Ananthram Congzhe Su Liangjie Hong 29 4 0 15 May 2019
Deep Hierarchical Reinforcement Learning Based Recommendations via Multi-goals Abstraction Dongyan Zhao Liang Zhang Bo Zhang Lizhou Zheng Yongjun Bao Weipeng P. Yan 22 3 0 22 Mar 2019
Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems Changhua Pei Xinru Yang Daixin Wang Xiao Lin Fei Sun Peng Jiang Wenwu Ou Yongfeng Zhang 13 14 0 03 Feb 2019
Privacy-preserving Q-Learning with Functional Noise in Continuous State Spaces Baoxiang Wang N. Hegde 17 64 0 30 Jan 2019
Deep reinforcement learning for search, recommendation, and online advertising: a survey Xiangyu Zhao Long Xia Jiliang Tang Dawei Yin OffRL 30 82 0 18 Dec 2018
Large-scale Interactive Recommendation with Tree-structured Policy Gradient Haokun Chen Xinyi Dai Han Cai Weinan Zhang Xuejian Wang Ruiming Tang Yuzhou Zhang Yong Yu 8 140 0 14 Nov 2018
Prediction of ESG Compliance using a Heterogeneous Information Network Ryohei Hisano D. Sornette Takayuki Mizuno 12 20 0 09 Nov 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 28 144 0 15 Oct 2018