Cited By
View all- Shi LLuo JZhang PHan HEl Baz DCheng GLiang Z(2022)Understanding User Preferences in Location-Based Social Networks via a Novel Self-Attention MechanismSustainability10.3390/su14241641414:24(16414)Online publication date: 8-Dec-2022
Personalized Point-of-Interest Recommendation Based on Social and Geographical Influence
Authors: 
Chang Su, Bin Gong, Xianzhong XieAuthors Info & Claims
Pages 130 - 137
Abstract
With the rapid development of location-based social networks (LBSNs), personalized Point-of-Interest (POI) recommendation has become an important personalized service to help users explore the surrounding environment. To better solve the data-sparse problem of POI recommendation, the main idea of existing research is to use neural networks to fuse context information such as social relationships and geographical influence. However, the existing models are still inadequate in integrating context information, and few studies consider privacy protection against users' activity trajectories. To solve these problems, this paper proposes a POI recommendation algorithm, SGGCN, which integrates social relationships and geographical influence. Based on desensitization of user activity trajectory, this method uses a graph convolutional neural network to explicitly learn the collaborative signal between users and users, POIs and POIs, and users and POIs to alleviate the data-sparse problem. Experiments on two real data sets show a 10% improvement over state-of-the-art POI recommendation methods.
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December 2021
246 pages
ISBN:9781450384162
DOI:10.1145/3508259
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Publication History
Published: 17 March 2022
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- the National Nature Science Foundation of China
- the Key Science and Technology Research Program of Chongqing Municipal Education Commission
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AICCC '21
AICCC '21: 2021 4th Artificial Intelligence and Cloud Computing Conference
December 17 - 19, 2021
Kyoto, Japan
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Cited By
View all- Shi LLuo JZhang PHan HEl Baz DCheng GLiang Z(2022)Understanding User Preferences in Location-Based Social Networks via a Novel Self-Attention MechanismSustainability10.3390/su14241641414:24(16414)Online publication date: 8-Dec-2022
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