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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Bibliografske podrobnosti

Principais autores:	Kun Wang, Xiaofeng Wang, Xuan Lu
Format:	Artigo
Jezik:	Inglês
Izdano:	Springer 2021-06-01
Serija:	Complex & Intelligent Systems
Teme:	POI recommendation LBSN Deep learning LSA Embedding Data sparsity
Online dostop:	https://doi.org/10.1007/s40747-021-00440-8
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