A deep learning knowledge graph neural network for recommender systems

Knowledge graphs are becoming the new state-of-the-art for recommender systems. This paper is based on knowledge graphs to alleviate the problem of data sparsity. Various methods have been recently deployed to solve this problem which largely attempts to study user-item representation and then recom...

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Bibliographic Details
Main Authors: Gurinder Kaur, Fei Liu, Yi-Ping Phoebe Chen
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Machine Learning with Applications
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666827023000609

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