POI recommendation method using LSTM-attention in LBSN considering privacy protection

POI recommendation method using LSTM-attention in LBSN considering privacy protection

Abstract Aiming at the problems of traditional point of interest (POI), such as sparse data, lack of negative feedback, and dynamic and periodic changes of user preferences, a POI recommendation method using deep learning in location-based social networks (LBSN) considering privacy protection is pro...

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Bibliographic Details
Main Authors: Kun Wang, Xiaofeng Wang, Xuan Lu
Format: Article
Language:English
Published: Springer 2021-06-01
Series:Complex & Intelligent Systems
Subjects:
POI recommendation
LBSN
Deep learning
LSA
Embedding
Data sparsity
Online Access:https://doi.org/10.1007/s40747-021-00440-8

Internet

https://doi.org/10.1007/s40747-021-00440-8

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