Explainable Recommendation: A Survey and New Perspectives

30 April 2018

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

50 / 207 papers shown

Title
Finding Paths for Explainable MOOC Recommendation: A Learner Perspective Jibril Frej Neel Shah Marta Knezevic Tanya Nazaretsky Tanja Kaser AI4Ed 8 12 0 11 Dec 2023
Reviewing Developments of Graph Convolutional Network Techniques for Recommendation Systems Haojun Zhu Vikram Kapoor Priya Sharma GNN 17 0 0 10 Nov 2023
Notion of Explainable Artificial Intelligence -- An Empirical Investigation from A Users Perspective A. Haque A. Najmul Islam Patrick Mikalef 26 1 0 01 Nov 2023
Faithful Path Language Modeling for Explainable Recommendation over Knowledge Graph Giacomo Balloccu Ludovico Boratto Christian Cancedda Gianni Fenu Mirko Marras 12 6 0 25 Oct 2023
Context-aware explainable recommendations over knowledge graphs Jinfeng Zhong E. Negre 16 1 0 24 Oct 2023
Explanation-based Training with Differentiable Insertion/Deletion Metric-aware Regularizers Yuya Yoshikawa Tomoharu Iwata 14 0 0 19 Oct 2023
Factual and Personalized Recommendations using Language Models and Reinforcement Learning Jihwan Jeong Yinlam Chow Guy Tennenholtz Chih-Wei Hsu Azamat Tulepbergenov Mohammad Ghavamzadeh Craig Boutilier 24 4 0 09 Oct 2023
On the Definition of Appropriate Trust and the Tools that Come with it Helena Löfström 20 1 0 21 Sep 2023
GPT as a Baseline for Recommendation Explanation Texts Joyce Zhou Thorsten Joachims 6 3 0 16 Sep 2023
Towards Individual and Multistakeholder Fairness in Tourism Recommender Systems Ashmi Banerjee Paromita Banik Wolfgang Wörndl 21 11 0 05 Sep 2023
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions Lei Li Yongfeng Zhang Dugang Liu L. Chen 3DV LRM 32 71 0 03 Sep 2023
Explainable Active Learning for Preference Elicitation Furkan Cantürk Reyhan Aydoğan 8 0 0 01 Sep 2023
Concentrating on the Impact: Consequence-based Explanations in Recommender Systems Sebastian Lubos Thi Ngoc Trang Tran Seda Polat-Erdeniz Merfat El Mansi Alexander Felfernig Manfred Wundara G. Leitner HAI 6 3 0 31 Aug 2023
Knowledge-grounded Natural Language Recommendation Explanation Anthony Colas Jun Araki Zhengyu Zhou Bingqing Wang Z. Feng 24 7 0 30 Aug 2023
RecRec: Algorithmic Recourse for Recommender Systems Sahil Verma Ashudeep Singh Varich Boonsanong John P. Dickerson Chirag Shah 25 1 0 28 Aug 2023
Situated Natural Language Explanations Zining Zhu Hao Jiang Jingfeng Yang Sreyashi Nag Chao Zhang Jie Huang Yifan Gao Frank Rudzicz Bing Yin LRM 32 1 0 27 Aug 2023
On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems Xiaocong Chen Siyu Wang Julian McAuley Dietmar Jannach Lina Yao OffRL 16 5 0 22 Aug 2023
RAH! RecSys-Assistant-Human: A Human-Centered Recommendation Framework with LLM Agents Yubo Shu Haonan Zhang Hansu Gu Peng Zhang T. Lu Dongsheng Li Ning Gu 27 14 0 19 Aug 2023
UIPC-MF: User-Item Prototype Connection Matrix Factorization for Explainable Collaborative Filtering Lei Pan V. Soo 19 0 0 14 Aug 2023
CDR: Conservative Doubly Robust Learning for Debiased Recommendation Zijie Song Jiawei Chen Sheng Zhou Qihao Shi Yan Feng Chun-Yen Chen C. Wang 33 17 0 13 Aug 2023
SSLRec: A Self-Supervised Learning Framework for Recommendation Xubin Ren Lianghao Xia Yuhao Yang Wei Wei Tianle Wang Xuheng Cai Chao Huang 26 33 0 10 Aug 2023
A Lightweight Method for Modeling Confidence in Recommendations with Learned Beta Distributions N. Knyazev Harrie Oosterhuis OffRL 12 9 0 06 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
When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities Jin Chen Zheng Liu Xunpeng Huang Chenwang Wu Qi Liu ... Yuxuan Lei Xiaolong Chen Xingmei Wang Defu Lian Enhong Chen ALM 24 110 0 31 Jul 2023
Sustainable transparency in Recommender Systems: Bayesian Ranking of Images for Explainability Jorge Paz-Ruza Amparo Alonso-Betanzos Berta Guijarro-Berdiñas Brais Cancela Carlos Eiras-Franco BDL 29 5 0 27 Jul 2023
A Personalized Recommender System Based-on Knowledge Graph Embeddings Ngoc Luyen Lê Marie-Hélène Abel Philippe Gouspillou 17 7 0 20 Jul 2023
PubMed and Beyond: Biomedical Literature Search in the Age of Artificial Intelligence Qiao Jin Robert Leaman Zhiyong Lu LM&MA 27 41 0 18 Jul 2023
Counterfactual Collaborative Reasoning Jianchao Ji Zelong Li Shuyuan Xu Max Xiong Juntao Tan Yingqiang Ge Hao Wang Yongfeng Zhang CML LRM 13 11 0 30 Jun 2023
Interactive Explanation with Varying Level of Details in an Explainable Scientific Literature Recommender System Mouadh Guesmi Mohamed Amine Chatti Shoeb Joarder Qurat Ul Ain R. Alatrash Clara Siepmann Tannaz Vahidi 11 9 0 09 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 22 39 0 05 Jun 2023
Prompt Tuning Large Language Models on Personalized Aspect Extraction for Recommendations Pan Li Yuyan Wang Ed H. Chi Minmin Chen 16 12 0 02 Jun 2023
Representer Point Selection for Explaining Regularized High-dimensional Models Che-Ping Tsai Jiong Zhang Eli Chien Hsiang-Fu Yu Cho-Jui Hsieh Pradeep Ravikumar 16 2 0 31 May 2023
Towards Explainable Conversational Recommender Systems Shuyu Guo Shuo Zhang Weiwei Sun Pengjie Ren Zhumin Chen Z. Ren LRM 13 13 0 27 May 2023
Justification vs. Transparency: Why and How Visual Explanations in a Scientific Literature Recommender System Mouadh Guesmi Mohamed Amine Chatti Shoeb Joarder Qurat Ul Ain Clara Siepmann Hoda Ghanbarzadeh R. Alatrash 32 8 0 26 May 2023
Visualization for Recommendation Explainability: A Survey and New Perspectives Mohamed Amine Chatti Mouadh Guesmi Arham Muslim XAI HAI LRM 20 5 0 19 May 2023
Leveraging Large Language Models in Conversational Recommender Systems Luke Friedman Sameer Ahuja David Allen Zhenning Tan Hakim Sidahmed ... Ajay Patel Harsh Lara Brian Chu Zexiang Chen Manoj Kumar Tiwari 32 100 0 13 May 2023
Technical Understanding from IML Hands-on Experience: A Study through a Public Event for Science Museum Visitors Wataru Kawabe Yuri Nakao Akihisa Shitara Yusuke Sugano 26 1 0 10 May 2023
Explainable Recommender with Geometric Information Bottleneck Hanqi Yan Lin Gui Menghan Wang Kun Zhang Yulan He 13 2 0 09 May 2023
Towards Explainable Collaborative Filtering with Taste Clusters Learning Yuntao Du Jianxun Lian Jing Yao Xiting Wang Mingqi Wu Lu Chen Yunjun Gao Xing Xie FedML 14 6 0 27 Apr 2023
SketchXAI: A First Look at Explainability for Human Sketches Zhiyu Qu Yulia Gryaditskaya Ke Li Kaiyue Pang Tao Xiang Yi-Zhe Song 21 8 0 23 Apr 2023
(Vector) Space is Not the Final Frontier: Product Search as Program Synthesis Jacopo Tagliabue C. Greco 14 1 0 22 Apr 2023
Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations, and Standards in the EU, US, and UK L. Nannini Agathe Balayn A. Smith 11 37 0 20 Apr 2023
GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation Jinming Li Wentao Zhang Tiantian Wang Guanglei Xiong Alan Lu Gérard Medioni RALM 9 98 0 08 Apr 2023
Is More Always Better? The Effects of Personal Characteristics and Level of Detail on the Perception of Explanations in a Recommender System Mohamed Amine Chatti Mouadh Guesmi Laura Vorgerd Thao Ngo Shoeb Joarder Qurat Ul Ain Arham Muslim HAI 14 25 0 03 Apr 2023
XAIR: A Framework of Explainable AI in Augmented Reality Xuhai Xu Anna Yu Tanya R. Jonker Kashyap Todi Feiyu Lu ... Narine Kokhlikyan Fulton Wang P. Sorenson Sophie Kahyun Kim Hrvoje Benko 28 49 0 28 Mar 2023
Improving Prediction Performance and Model Interpretability through Attention Mechanisms from Basic and Applied Research Perspectives Shunsuke Kitada FaML HAI AI4CE 25 0 0 24 Mar 2023
Measuring the Impact of Explanation Bias: A Study of Natural Language Justifications for Recommender Systems K. Balog Filip Radlinski Andrey Petrov 20 3 0 16 Mar 2023
A System's Approach Taxonomy for User-Centred XAI: A Survey Ehsan Emamirad Pouya Ghiasnezhad Omran A. Haller S. Gregor 21 1 0 06 Mar 2023
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction Shichang Zhang Jiani Zhang Xiang Song Soji Adeshina Da Zheng Christos Faloutsos Yizhou Sun LRM 25 31 0 24 Feb 2023
Knowledge is Power, Understanding is Impact: Utility and Beyond Goals, Explanation Quality, and Fairness in Path Reasoning Recommendation Giacomo Balloccu Ludovico Boratto Christian Cancedda Gianni Fenu Mirko Marras 18 8 0 14 Jan 2023