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Research on the Next POI Recommendation System Based on Graph Neural Networks and Attention Mechanism
Weilong Li
117 - 122
10.3233/ATDE241343
Research Article
Advances in Transdisciplinary Engineering
Volume 66: Intelligent Manufacturing and Cloud Computing
Abstract

In order to enhance the accuracy of the POI recommendation system, a model that dynamically captures user behavior patterns was established by combining Graph Neural Networks (GNNs) and the Attention Mechanism. The experimental results show that the model improved the Top-1 accuracy by 15%, and the Top-5 and Top-10 accuracy by 13% and 15%, respectively. The conclusion indicates that the proposed method significantly improves recommendation performance and provides effective support for personalized recommendations.

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