REHG: A Recommender Engine Based on Heterogeneous Graph

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Xiaoyang Xin, Zesheng Cheng, Tiankuan Wang, Mengqiu Yan, Ruixuan Zhao, Chong Peng, Jianbo Li

Published: 2024, Last Modified: 06 Feb 2025WASA (1) 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Recommendation systems are extensively utilized across diverse domains with the aim of suggesting the most appropriate items to individual users. An effective recommendation engine provides valuable guidance for daily life.