Art

J-GLOBAL ID：202002230701950625   Reference number：20A0506512

A Model-agnostic Recommendation Explanation System Based on Knowledge Graph

知識グラフに基づくモデル独立型推薦解釈システム

Author (2)： CHEN Yuhao (東京工大) ,  MIYAZAKI JUN (東京工大)
Material： 電子情報通信学会技術研究報告  (IEICE Technical Report (Institute of Electronics, Information and Communication Engineers))
Volume： 119  Issue： 354(DE2019 21-32)(Web)  Page： 13-17 (WEB ONLY)  Publication year： Dec. 16, 2019 
JST Material Number： S0532B  ISSN： 0913-5685  Document type： Proceedings
Article type： 原著論文  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： information system ,  information extraction ,  *knowledge acquisition ,  knowledge ,  algorithm ,  application program ,  evaluation test ,  information collection ,  neural network(biomodel) ,  directed graph ,  mathematical model ,  information content ,  cinema
Semi thesaurus term： deep neural network ,  cooperative filtering ,  recommendation algorithm ,  recommend engine ,  *recommendation system ,  Linear Models ,  *知識グラフ ,  knowledge extracting ,  background knowledge

JST classification (1)： Artificial intelligence  (JE08000Z)

Reference (19)：

• D. Alvarez-Melis and T. S. Jaakkola. Towards robust interpretability with self-explaining neural networks. In Proc. of NIPS ’18, pp.7786-7795, 2018.
• A. Rago, O. Cocarascu, and F. Toni. Argumentation-based recommendations: Fantastic explanations and how to find them. In Proc. of IJCAI ’18, pp.1949-1955, 2018.
• X. Wang, D. Wang, C. Xu, X. He, Y. Cao and T.-S. Chua, Explainable Reasoning over Knowledge Graphs for Recommendation, AAAI, vol. 33, pp.5329-5336, 2019.
• J. Gao, X. Wang, Y. Wang and X. Xie, Explainable Recommendation through Attentive Multi-View Learning, AAAI, vol. 33, pp.3622-3629, 2019.
• J. L. Herlocker, J. A. Konstan and J. Riedl, Explaining collaborative filtering recommendations, In Proc. of CSCW’00, Philadelphia, Pennsylvania, United States, pp.241-250, 2000.

Terms in the title (3)： 知識グラフ ,  モデル ,  推薦