FAGRec: Alleviating data sparsity in POI recommendations via the feature-aware graph learning

Point-of-interest (POI) recommendation has attracted great attention in the field of recommender systems over the past decade. Various techniques, such as those based on matrix factorization and deep neural networks, have demonstrated outstanding performance. However, these methods are susceptible t...

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Bibliographic Details
Published in:Electronic Research Archive
Main Authors: Xia Liu, Liwan Wu
Format: Article
Language:English
Published: AIMS Press 2024-04-01
Subjects:
poi recommendation
data sparsity
cold-start poi
feature-aware graph
graph neural network
Online Access:https://www.aimspress.com/article/doi/10.3934/era.2024123?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/era.2024123?viewType=HTML

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