Open Access Paper
11 September 2023 Graph neural network based entity augmented representation for recommendation system
Huinan Zhao, Lei Mu, Xiuzhuo Wei, Suhua Wang
Author Affiliations +
Proceedings Volume 12779, Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023); 127792F (2023) https://doi.org/10.1117/12.2689084
Event: Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023), 2023, Kunming, China
Abstract
A lot of rich auxiliary information can be integrated into the scoring and show good performance, which plays a good role in many recommended methods. In this paper, we use the rich semantic of knowledge graph to explore user preferences and improve the algorithm performance by using item attributes. A large number of experiments have been carried out on two data sets to prove the validity of the graph convolution recommendation model.
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Huinan Zhao, Lei Mu, Xiuzhuo Wei, and Suhua Wang "Graph neural network based entity augmented representation for recommendation system", Proc. SPIE 12779, Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023), 127792F (11 September 2023); https://doi.org/10.1117/12.2689084
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KEYWORDS
Matrices

Deep learning

Genetic algorithms

Neural networks

Semantics

Singular value decomposition

Machine learning

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