Hypergraphs with attention on reviews for explainable recommendation

• Main Authors: JENDAL, Theis E., LE, Trung Hoang, LAUW, Hady Wirawan, LISSANDRINI, Matteo, DOLOG, Peter, HOSE, Katja
• 格式: text
• 語言: English
• 出版: Institutional Knowledge at Singapore Management University 2024
• 主題: Databases and Information Systems; Numerical Analysis and Scientific Computing
• 在線閱讀: https://ink.library.smu.edu.sg/sis_research/8724; https://ink.library.smu.edu.sg/context/sis_research/article/9727/viewcontent/ecir24.pdf

Given a recommender system based on reviews, the challenges are how to effectively represent the review data and how to explain the produced recommendations. We propose a novel review-specific Hypergraph (HG) model, and further introduce a model-agnostic explainability module. The HG model captures...