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Contrastive Representation for Interactive Recommendation

24 December 2024

Papers citing "Contrastive Representation for Interactive Recommendation"

33 / 33 papers shown

Title
Model-free Reinforcement Learning with Stochastic Reward Stabilization for Recommender Systems Tianchi Cai Shenliao Bao Jiyan Jiang Shiji Zhou Wenpeng Zhang Lihong Gu Jinjie Gu Guannan Zhang OffRL 63 2 0 25 Aug 2023
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 80 41 0 03 Feb 2023
KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems Chongming Gao Shijun Li Wenqiang Lei Jiawei Chen Biao Li Peng Jiang Xiangnan He Jiaxin Mao Tat-Seng Chua 98 145 0 22 Feb 2022
Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning Zihan Lin Changxin Tian Yupeng Hou Wayne Xin Zhao 72 442 0 13 Feb 2022
Intent Contrastive Learning for Sequential Recommendation Yong-Guang Chen Zhiwei Liu Jia Li Julian McAuley Caiming Xiong 93 315 0 05 Feb 2022
Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation Vincent Mai Kaustubh Mani Liam Paull 83 37 0 05 Jan 2022
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
An Empirical Study of Graph Contrastive Learning Yanqiao Zhu Yichen Xu Qiang Liu Shu Wu 97 173 0 02 Sep 2021
SimCSE: Simple Contrastive Learning of Sentence Embeddings Tianyu Gao Xingcheng Yao Danqi Chen AILaw SSL 297 3,442 0 18 Apr 2021
Self-supervised Graph Learning for Recommendation Jiancan Wu Xiang Wang Fuli Feng Xiangnan He Liang Chen Jianxun Lian Xing Xie SSL 200 1,181 0 21 Oct 2020
An Unsupervised Sentence Embedding Method by Mutual Information Maximization Yan Zhang Ruidan He Zuozhu Liu Kwan Hui Lim Lidong Bing SSL 103 180 0 25 Sep 2020
Critic Regularized Regression Ziyun Wang Alexander Novikov Konrad Zolna Jost Tobias Springenberg Scott E. Reed ... Noah Y. Siegel J. Merel Çağlar Gülçehre N. Heess Nando de Freitas OffRL 178 332 0 26 Jun 2020
Learning Invariant Representations for Reinforcement Learning without Reconstruction Amy Zhang R. McAllister Roberto Calandra Y. Gal Sergey Levine OOD SSL 146 479 0 18 Jun 2020
Self-Supervised Reinforcement Learning for Recommender Systems Xin Xin Alexandros Karatzoglou Ioannis Arapakis J. Jose SSL OffRL 157 202 0 10 Jun 2020
CURL: Contrastive Unsupervised Representations for Reinforcement Learning A. Srinivas Michael Laskin Pieter Abbeel SSL DRL OffRL 134 1,093 0 08 Apr 2020
Dynamic Experience Replay Jieliang Luo Hui Li 215 24 0 04 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 416 18,960 0 13 Feb 2020
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation Xiangnan He Kuan Deng Xiang Wang Yan Li Yongdong Zhang Meng Wang GNN 208 3,722 0 06 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 620 42,769 0 03 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 243 12,163 0 13 Nov 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
Neural Graph Collaborative Filtering Xiang Wang Xiangnan He Meng Wang Fuli Feng Tat-Seng Chua 196 3,017 0 20 May 2019
Model-Based Reinforcement Learning for Atari Lukasz Kaiser Mohammad Babaeizadeh Piotr Milos B. Osinski R. Campbell ... Sergey Levine Afroz Mohiuddin Ryan Sepassi George Tucker Henryk Michalewski OffRL 176 870 0 01 Mar 2019
Soft Actor-Critic Algorithms and Applications Tuomas Haarnoja Aurick Zhou Kristian Hartikainen George Tucker Sehoon Ha ... Vikash Kumar Henry Zhu Abhishek Gupta Pieter Abbeel Sergey Levine 157 2,456 0 13 Dec 2018
Top-K Off-Policy Correction for a REINFORCE Recommender System Minmin Chen Alex Beutel Paul Covington Sagar Jain Francois Belletti Ed H. Chi CML OffRL 149 485 0 06 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 82 140 0 14 Nov 2018
RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising D. Rohde Stephen Bonner Travis Dunlop Flavian Vasile Alexandros Karatzoglou OffRL 66 150 0 02 Aug 2018
Selective Experience Replay for Lifelong Learning David Isele Akansel Cosgun CLL 91 460 0 28 Feb 2018
Policy Gradients for Contextual Recommendations Feiyang Pan Qingpeng Cai Pingzhong Tang Fuzhen Zhuang Qing He OffRL 80 40 0 12 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 324 8,455 0 04 Jan 2018
Deep Interest Network for Click-Through Rate Prediction Guorui Zhou Cheng-Ning Song Xiaoqiang Zhu Xi-Wang Dai Ziru Xu Xiao Ma Yanghui Yan Junqi Jin Han Li Kun Gai 111 1,841 0 21 Jun 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 888 133,171 0 12 Jun 2017
Prioritized Experience Replay Tom Schaul John Quan Ioannis Antonoglou David Silver OffRL 244 3,805 0 18 Nov 2015