Explainable Recommendation: A Survey and New Perspectives

30 April 2018

Papers citing "Explainable Recommendation: A Survey and New Perspectives"

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Title
Problem Learning: Towards the Free Will of Machines Yongfeng Zhang FaML 21 2 0 01 Sep 2021
Counterfactual Explainable Recommendation Juntao Tan Shuyuan Xu Yingqiang Ge Yunqi Li Xu Chen Yongfeng Zhang CML 22 141 0 24 Aug 2021
Seven challenges for harmonizing explainability requirements Jiahao Chen Victor Storchan 23 8 0 11 Aug 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 96 196 0 12 Jul 2021
CrystalCandle: A User-Facing Model Explainer for Narrative Explanations Jilei Yang Diana M. Negoescu P. Ahammad 11 1 0 27 May 2021
Personalized Transformer for Explainable Recommendation Lei Li Yongfeng Zhang Li Chen 20 138 0 25 May 2021
Personalized Counterfactual Fairness in Recommendation Yunqi Li Hanxiong Chen Shuyuan Xu Yingqiang Ge Yongfeng Zhang FaML OffRL 8 142 0 20 May 2021
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts Gesina Schwalbe Bettina Finzel XAI 21 184 0 15 May 2021
Graph Learning based Recommender Systems: A Review Shoujin Wang Liang Hu Yan Wang Xiangnan He Quan.Z Sheng M. Orgun LongBing Cao F. Ricci Philip S. Yu 24 198 0 13 May 2021
Semi-Supervised Variational Reasoning for Medical Dialogue Generation Dongdong Li Z. Ren Pengjie Ren Zhumin Chen M. Fan Jun Ma Maarten de Rijke BDL DRL OffRL MedIm 24 48 0 13 May 2021
Counterfactual Explanations for Neural Recommenders Khanh Tran Azin Ghazimatin Rishiraj Saha Roy AAML CML 52 65 0 11 May 2021
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation Le Wu Xiangnan He Xiang Wang Kun Zhang Meng Wang HAI 19 283 0 27 Apr 2021
Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond Xuhong Li Haoyi Xiong Xingjian Li Xuanyu Wu Xiao Zhang Ji Liu Jiang Bian Dejing Dou AAML FaML XAI HAI 15 315 0 19 Mar 2021
Benchmarking and Survey of Explanation Methods for Black Box Models F. Bodria F. Giannotti Riccardo Guidotti Francesca Naretto D. Pedreschi S. Rinzivillo XAI 33 219 0 25 Feb 2021
Convolutional Neural Network Interpretability with General Pattern Theory Erico Tjoa Cuntai Guan FAtt AI4CE 11 6 0 05 Feb 2021
Explanation as a Defense of Recommendation Aobo Yang Nan Wang Hongbo Deng Hongning Wang AAML 20 23 0 24 Jan 2021
Advances and Challenges in Conversational Recommender Systems: A Survey Chongming Gao Wenqiang Lei Xiangnan He Maarten de Rijke Tat-Seng Chua 128 272 0 23 Jan 2021
Adversarially Robust and Explainable Model Compression with On-Device Personalization for Text Classification Yao Qiang Supriya Tumkur Suresh Kumar Marco Brocanelli D. Zhu AAML 23 0 0 10 Jan 2021
Generate Natural Language Explanations for Recommendation H. Chen Xu Chen Shaoyun Shi Yongfeng Zhang LRM 6 59 0 09 Jan 2021
Spatial Object Recommendation with Hints: When Spatial Granularity Matters Hui Luo Jingbo Zhou Z. Bao Shuangli Li J. Culpepper Haochao Ying Hao Liu Hui Xiong 14 24 0 08 Jan 2021
Brain-inspired Search Engine Assistant based on Knowledge Graph Xuejiao Zhao Huanhuan Chen Zhenchang Xing C. Miao 22 31 0 25 Dec 2020
Explainable Recommendation Systems by Generalized Additive Models with Manifest and Latent Interactions Yifeng Guo Yuhao Su Zebin Yang Aijun Zhang 11 2 0 15 Dec 2020
A Survey on the Explainability of Supervised Machine Learning Nadia Burkart Marco F. Huber FaML XAI 12 751 0 16 Nov 2020
J-Recs: Principled and Scalable Recommendation Justification Namyong Park Andrey Kan Christos Faloutsos Xin Luna Dong 15 5 0 11 Nov 2020
The emergence of Explainability of Intelligent Systems: Delivering Explainable and Personalised Recommendations for Energy Efficiency Christos Sardianos Iraklis Varlamis Christos Chronis G. Dimitrakopoulos A. Alsalemi Yassine Himeur F. Bensaali Abbes Amira 9 88 0 10 Oct 2020
Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases G. Weikum Luna Dong Simon Razniewski Fabian M. Suchanek 20 125 0 24 Sep 2020
Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations Yassine Himeur A. Alsalemi Ayman Al-Kababji F. Bensaali Abbes Amira 6 64 0 14 Sep 2020
Why should I not follow you? Reasons For and Reasons Against in Responsible Recommender Systems G. Polleti Douglas Luan de Souza Fabio Gagliardi Cozman 6 1 0 03 Sep 2020
Explainable Recommender Systems via Resolving Learning Representations Ninghao Liu Yong Ge Li Li Xia Hu Rui Chen Soo-Hyun Choi 11 24 0 21 Aug 2020
COOKIE: A Dataset for Conversational Recommendation over Knowledge Graphs in E-commerce Zuohui Fu Yikun Xian Yaxin Zhu Yongfeng Zhang Gerard de Melo 18 25 0 21 Aug 2020
Neural Logic Reasoning Shaoyun Shi H. Chen Weizhi Ma Jiaxin Mao Min Zhang Yongfeng Zhang NAI LRM AI4CE 16 94 0 20 Aug 2020
Learning Post-Hoc Causal Explanations for Recommendation Shuyuan Xu Yunqi Li Shuchang Liu Zuohui Fu Xu Chen Yongfeng Zhang CML 14 20 0 30 Jun 2020
Fairness-Aware Explainable Recommendation over Knowledge Graphs Zuohui Fu Yikun Xian Ruoyuan Gao Jieyu Zhao Qiaoying Huang ... Shuyuan Xu Shijie Geng C. Shah Yongfeng Zhang Gerard de Melo FaML 10 204 0 03 Jun 2020
Framing Effects on Strategic Information Design under Receiver Distrust and Unknown State Doris E. M. Brown Venkata Sriram Siddhardh Nadendla LLMSV 9 0 0 12 May 2020
DTCA: Decision Tree-based Co-Attention Networks for Explainable Claim Verification Lianwei Wu Y. Rao Yongqiang Zhao Hao Liang Ambreen Nazir 6 59 0 28 Apr 2020
Survey for Trust-aware Recommender Systems: A Deep Learning Perspective Manqing Dong Feng Yuan Lina Yao Xianzhi Wang Xiwei Xu Liming Zhu 9 8 0 08 Apr 2020
Applying Transparency in Artificial Intelligence based Personalization Systems Laura Schelenz A. Segal Y. Gal 15 9 0 02 Apr 2020
AliCoCo: Alibaba E-commerce Cognitive Concept Net Xusheng Luo Luxin Liu Y. Yang Le Bo Yuanpeng Cao Jinhang Wu Qiang Li Keping Yang Kenny Q. Zhu 14 66 0 30 Mar 2020
LIMEADE: From AI Explanations to Advice Taking Benjamin Charles Germain Lee Doug Downey Kyle Lo Daniel S. Weld 100 5 0 09 Mar 2020
A Survey on Knowledge Graph-Based Recommender Systems Qingyu Guo Fuzhen Zhuang Chuan Qin Hengshu Zhu Xing Xie Hui Xiong Qing He 13 727 0 28 Feb 2020
Hybrid Deep Embedding for Recommendations with Dynamic Aspect-Level Explanations Huanrui Luo Ning Yang Philip S. Yu 4 5 0 18 Jan 2020
Meta Decision Trees for Explainable Recommendation Systems Eyal Shulman Lior Wolf 13 18 0 19 Dec 2019
PRINCE: Provider-side Interpretability with Counterfactual Explanations in Recommender Systems Azin Ghazimatin Oana Balalau Rishiraj Saha Roy G. Weikum FAtt 11 97 0 19 Nov 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot S. Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 19 6,109 0 22 Oct 2019
Conceptualize and Infer User Needs in E-commerce Xusheng Luo Y. Yang Kenny Q. Zhu Yu Gong Keping Yang 20 14 0 08 Oct 2019
The Bouncer Problem: Challenges to Remote Explainability Erwan Le Merrer Gilles Tredan 11 8 0 03 Oct 2019
Personalization of Deep Learning Johannes Schneider M. Vlachos 11 37 0 06 Sep 2019
Towards Knowledge-Based Recommender Dialog System Qibin Chen Junyang Lin Yichang Zhang Ming Ding Yukuo Cen Hongxia Yang Jie Tang 19 237 0 15 Aug 2019
Mediation Challenges and Socio-Technical Gaps for Explainable Deep Learning Applications R. Brandão J. Carbonera C. D. Souza J. Ferreira Bernardo Gonçalves C. Leitão 11 12 0 16 Jul 2019
Ekar: An Explainable Method for Knowledge Aware Recommendation Weiping Song Zhijian Duan Ziqing Yang Haozhe Zhu Ming Zhang Jian Tang CML 13 15 0 22 Jun 2019