MCGCL: A multi-contextual graph contrastive learning-based approach for POI recommendation

MCGCL: A multi-contextual graph contrastive learning-based approach for POI recommendation

This paper focused on the point-of-interest (POI) recommendation task. Recently, graph representation learning-based POI recommendation models have gained significant attention due to the powerful modeling capacity of graph structural data. Despite their effectiveness, we have found that recent meth...

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Bibliographic Details
Main Authors: Xueping Han, Xueyong Wang
Format: Article
Language:English
Published: AIMS Press 2024-06-01
Series:Electronic Research Archive
Subjects:
poi recommendation
graph representation learning
contextual information
contrastive learning
Online Access:https://www.aimspress.com/article/doi/10.3934/era.2024166?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/era.2024166?viewType=HTML

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