Combining Embedding-Based and Semantic-Based Models for Post-hoc Explanations in Recommender Systems

9 January 2024

Papers citing "Combining Embedding-Based and Semantic-Based Models for Post-hoc Explanations in Recommender Systems"

11 / 11 papers shown

Title
A Survey of Controllable Learning: Methods and Applications in Information Retrieval Chenglei Shen Xiao Zhang Teng Shi Changshuo Zhang Guofu Xie Jun Xu 108 6 0 03 Jan 2025
Reinforced Path Reasoning for Counterfactual Explainable Recommendation Xiang-jian Wang Qian Li Dianer Yu Guandong Xu CML LRM 41 16 0 14 Jul 2022
Apport des ontologies pour le calcul de la similarité sémantique au sein dún système de recommandation Le Ngoc Luyen Marie-Hélène Abel Philippe Gouspillou 23 7 0 25 May 2022
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities Waddah Saeed C. Omlin XAI 77 433 0 11 Nov 2021
Semantic Modeling for Food Recommendation Explanations Ishita Padhiar Oshani Seneviratne Shruthi Chari Daniel Gruen D. McGuinness 121 14 0 04 May 2021
A Survey on Knowledge Graph-Based Recommender Systems Qingyu Guo Fuzhen Zhuang Chuan Qin Hengshu Zhu Xing Xie Hui Xiong Qing He 122 743 0 28 Feb 2020
KGAT: Knowledge Graph Attention Network for Recommendation Xiang Wang Xiangnan He Yixin Cao Meng Liu Tat-Seng Chua OffRL 76 1,812 0 20 May 2019
Explainable Recommendation: A Survey and New Perspectives Yongfeng Zhang Xu Chen XAI LRM 79 871 0 30 Apr 2018
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 183 10,856 0 03 Jul 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 943 16,931 0 16 Feb 2016
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 355 33,500 0 16 Oct 2013