An attentional recurrent neural network for personalized next location recommendation

Q Guo, Z Sun, J Zhang, YL Theng - … of the AAAI Conference on artificial …, 2020 - aaai.org
Most existing studies on next location recommendation propose to model the sequential
regularity of check-in sequences, but suffer from the severe data sparsity issue where most …

An Attentional Recurrent Neural Network for Personalized Next Location Recommendation

Q Guo, Z Sun, J Zhang, YL Theng - … of the AAAI Conference on Artificial …, 2020 - ojs.aaai.org
Most existing studies on next location recommendation propose to model the sequential
regularity of check-in sequences, but suffer from the severe data sparsity issue where most …

An attentional recurrent neural network for personalized next location recommendation

Q Guo, Z Sun, J Zhang… - AAAI Conference on …, 2020 - researchers.mq.edu.au
Most existing studies on next location recommendation propose to model the sequential
regularity of check-in sequences, but suffer from the severe data sparsity issue where most …

An Attentional Recurrent Neural Network for Personalized Next Location Recommendation

Q Guo, Z Sun, J Zhang, YL Theng - … of the AAAI Conference on Artificial …, 2020 - cir.nii.ac.jp
抄録< jats: p> Most existing studies on next location recommendation propose to model the
sequential regularity of check-in sequences, but suffer from the severe data sparsity issue …

[PDF][PDF] An Attentional Recurrent Neural Network for Personalized Next Location Recommendation

Q Guo, Z Sun, J Zhang, YL Theng - 2020 - cdn.aaai.org
Most existing studies on next location recommendation propose to model the sequential
regularity of check-in sequences, but suffer from the severe data sparsity issue where most …

[PDF][PDF] An Attentional Recurrent Neural Network for Personalized Next Location Recommendation

Q Guo, Z Sun, J Zhang, YL Theng - 2020 - scholar.archive.org
Most existing studies on next location recommendation propose to model the sequential
regularity of check-in sequences, but suffer from the severe data sparsity issue where most …