An Attention-Based Spatiotemporal Gated Recurrent Unit Network for Point-of-Interest Recommendation

An Attention-Based Spatiotemporal Gated Recurrent Unit Network for Point-of-Interest Recommendation

Point-of-interest (POI) recommendation is one of the fundamental tasks for location-based social networks (LBSNs). Some existing methods are mostly based on collaborative filtering (CF), Markov chain (MC) and recurrent neural network (RNN). However, it is difficult to capture dynamic user’...

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Bibliographic Details
Main Authors: Chunyang Liu, Jiping Liu, Jian Wang, Shenghua Xu, Houzeng Han, Yang Chen
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:ISPRS International Journal of Geo-Information
Subjects:
point-of-interest recommendation
spatiotemporal context
recurrent neural networks
gated recurrent unit
attention model
Online Access:https://www.mdpi.com/2220-9964/8/8/355

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