Counterfactual Explainable Recommendation

24 August 2021

Juntao Tan

Papers citing "Counterfactual Explainable Recommendation"

45 / 45 papers shown

Title
HF4Rec: Human-Like Feedback-Driven Optimization Framework for Explainable Recommendation Jiakai Tang Jingsen Zhang Zihang Tian Xueyang Feng Lei Wang Xu Chen OffRL 162 0 0 19 Apr 2025
GaVaMoE: Gaussian-Variational Gated Mixture of Experts for Explainable Recommendation Fei Tang Yongliang Shen Hang Zhang Zeqi Tan Wenqi Zhang Guiyang Hou Kaitao Song Weiming Lu Yueting Zhuang 50 0 0 15 Oct 2024
Designing an Interpretable Interface for Contextual Bandits Andrew Maher Matia Gobbo Lancelot Lachartre Subash Prabanantham Rowan Swiers Puli Liyanagama 28 0 0 23 Sep 2024
NoMatterXAI: Generating "No Matter What" Alterfactual Examples for Explaining Black-Box Text Classification Models Tuc Nguyen James Michels Hua Shen Thai Le 19 0 0 20 Aug 2024
AOTree: Aspect Order Tree-based Model for Explainable Recommendation Wenxin Zhao Peng Zhang Hansu Gu Dongsheng Li T. Lu Ning Gu 31 0 0 29 Jul 2024
On Causally Disentangled State Representation Learning for Reinforcement Learning based Recommender Systems Siyu Wang Xiaocong Chen Lina Yao CML 29 0 0 18 Jul 2024
CRUISE on Quantum Computing for Feature Selection in Recommender Systems Jiayang Niu Jie Li Ke Deng Yongli Ren 20 1 0 03 Jul 2024
Stability of Explainable Recommendation Sairamvinay Vijayaraghavan Prasant Mohapatra AAML 38 1 0 03 May 2024
Robust Explainable Recommendation Sairamvinay Vijayaraghavan Prasant Mohapatra AAML 26 0 0 03 May 2024
Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation Zhaoyang Chu Yao Wan Qian Li Yang Wu Hongyu Zhang Yulei Sui Guandong Xu Hai Jin AAML 46 9 0 24 Apr 2024
Causal Learning for Trustworthy Recommender Systems: A Survey Jin Li Shoujin Wang Qi Zhang LongBing Cao Fang Chen Xiuzhen Zhang Dietmar Jannach Charu C. Aggarwal CML 39 1 0 13 Feb 2024
Uncertainty-Aware Explainable Recommendation with Large Language Models Yicui Peng Hao Chen C. Lin Guo Huang Jinrong Hu Hui Guo Bin Kong Shu Hu Xi Wu Xin Wang LRM 58 8 0 31 Jan 2024
Evaluative Item-Contrastive Explanations in Rankings Alessandro Castelnovo Riccardo Crupi Nicolo Mombelli Gabriele Nanino D. Regoli XAI ELM 20 1 0 14 Dec 2023
Interpretable Knowledge Tracing via Response Influence-based Counterfactual Reasoning Jiajun Cui Minghe Yu Bo Jiang Aimin Zhou Jianyong Wang Wei Zhang 36 3 0 01 Dec 2023
Explainable History Distillation by Marked Temporal Point Process Sishun Liu Ke Deng Yan Wang Xiuzhen Zhang 35 0 0 13 Nov 2023
RecRec: Algorithmic Recourse for Recommender Systems Sahil Verma Ashudeep Singh Varich Boonsanong John P. Dickerson Chirag Shah 33 1 0 28 Aug 2023
User-Controllable Recommendation via Counterfactual Retrospective and Prospective Explanations Juntao Tan Yingqiang Ge Yangchun Zhu Yinglong Xia Jiebo Luo Jianchao Ji Yongfeng Zhang 11 2 0 02 Aug 2023
Counterfactual Collaborative Reasoning Jianchao Ji Zelong Li Shuyuan Xu Max Xiong Juntao Tan Yingqiang Ge Hao Wang Yongfeng Zhang CML LRM 34 11 0 30 Jun 2023
Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation Jinghao Zhang Qiang Liu Shu Wu Liang Wang 21 8 0 25 Jun 2023
User Behavior Simulation with Large Language Model based Agents Lei Wang Jingsen Zhang Hao-ran Yang Zhiyuan Chen Jiakai Tang ... Wayne Xin Zhao Jun Xu Zhicheng Dou Jun Wang Ji-Rong Wen LM&Ro LLMAG 24 39 0 05 Jun 2023
Towards Explainable Conversational Recommender Systems Shuyu Guo Shuo Zhang Weiwei Sun Pengjie Ren Zhumin Chen Z. Ren LRM 21 13 0 27 May 2023
Explainable Recommender with Geometric Information Bottleneck Hanqi Yan Lin Gui Menghan Wang Kun Zhang Yulan He 15 2 0 09 May 2023
Explaining Recommendation System Using Counterfactual Textual Explanations Niloofar Ranjbar S. Momtazi MohammadMehdi Homayounpour 32 4 0 14 Mar 2023
A Review of the Role of Causality in Developing Trustworthy AI Systems Niloy Ganguly Dren Fazlija Maryam Badar M. Fisichella Sandipan Sikdar ... Koustav Rudra Manolis Koubarakis Gourab K. Patro W. Z. E. Amri Wolfgang Nejdl CML 39 23 0 14 Feb 2023
ExplainableFold: Understanding AlphaFold Prediction with Explainable AI Juntao Tan Yongfeng Zhang 28 6 0 27 Jan 2023
Explainable Global Fairness Verification of Tree-Based Classifiers Stefano Calzavara Lorenzo Cazzaro Claudio Lucchese Federico Marcuzzi 27 2 0 27 Sep 2022
A Comprehensive Survey on Trustworthy Recommender Systems Wenqi Fan Xiangyu Zhao Xiao Chen Jingran Su Jingtong Gao ... Qidong Liu Yiqi Wang Hanfeng Xu Lei Chen Qing Li FaML 43 46 0 21 Sep 2022
Dynamic Causal Collaborative Filtering Shuyuan Xu Juntao Tan Zuohui Fu Jianchao Ji Shelby Heinecke Yongfeng Zhang 24 17 0 23 Aug 2022
Learn Basic Skills and Reuse: Modularized Adaptive Neural Architecture Search (MANAS) H. Chen Yunqi Li He Zhu Yongfeng Zhang 39 5 0 23 Aug 2022
GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations Ziheng Chen Fabrizio Silvestri Jia Wang Yongfeng Zhang Zhenhua Huang H. Ahn Gabriele Tolomei CML 27 27 0 04 Aug 2022
Reinforced Path Reasoning for Counterfactual Explainable Recommendation Xiang-jian Wang Qian Li Dianer Yu Guandong Xu CML LRM 24 16 0 14 Jul 2022
Fairness in Recommendation: Foundations, Methods and Applications Yunqi Li H. Chen Shuyuan Xu Yingqiang Ge Juntao Tan Shuchang Liu Yongfeng Zhang FaML OffRL 108 41 0 26 May 2022
Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5) Shijie Geng Shuchang Liu Zuohui Fu Yingqiang Ge Yongfeng Zhang VLM AI4TS 23 448 0 24 Mar 2022
Graph-based Extractive Explainer for Recommendations Peifeng Wang Renqin Cai Hongning Wang 41 14 0 20 Feb 2022
Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning Juntao Tan Shijie Geng Zuohui Fu Yingqiang Ge Shuyuan Xu Yunqi Li Yongfeng Zhang 38 108 0 17 Feb 2022
Personalized Prompt Learning for Explainable Recommendation Lei Li Yongfeng Zhang Li Chen LRM 21 164 0 15 Feb 2022
Measuring "Why" in Recommender Systems: a Comprehensive Survey on the Evaluation of Explainable Recommendation Xu Chen Yongfeng Zhang Jingxuan Wen XAI ELM OffRL 21 34 0 14 Feb 2022
Deep Causal Reasoning for Recommendations Yaochen Zhu Jing Yi Jiayi Xie Zhenzhong Chen CML BDL 27 10 0 06 Jan 2022
From Kepler to Newton: Explainable AI for Science Zelong Li Jianchao Ji Yongfeng Zhang 20 19 0 24 Nov 2021
From Intrinsic to Counterfactual: On the Explainability of Contextualized Recommender Systems Yao Zhou Haonan Wang Jingrui He Haixun Wang 32 15 0 28 Oct 2021
Deconfounded Causal Collaborative Filtering Shuyuan Xu Juntao Tan Shelby Heinecke Jia Li Yongfeng Zhang CML 35 40 0 14 Oct 2021
Uncovering Main Causalities for Long-tailed Information Extraction Guoshun Nan Jiaqi Zeng Rui Qiao Zhijiang Guo Wei Lu CML 54 46 0 11 Sep 2021
Problem Learning: Towards the Free Will of Machines Yongfeng Zhang FaML 21 2 0 01 Sep 2021
Causal Collaborative Filtering Shuyuan Xu Yingqiang Ge Yunqi Li Zuohui Fu Xu Chen Yongfeng Zhang CML 21 48 0 03 Feb 2021
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review Sahil Verma Varich Boonsanong Minh Hoang Keegan E. Hines John P. Dickerson Chirag Shah CML 24 162 0 20 Oct 2020