 When it comes to the scale of the entire cities , existing approaches always suffer from extensive computational cost and signigicant information loss. An increasing amount of location-based service (LBS) data are being accumulated and released to the public and enables us to study urban dynamics and human mobility. This study learns vector representations for locations using the large-scale LBS data.
<clarity>  When it comes to the scale of the entire cities , existing approaches always suffer from extensive computational cost and signigicant information loss. An increasing amount of location-based service (LBS) data are being accumulated and released to the public and enables us to study urban dynamics and human mobility. This study learns vector representations for locations using the large-scale LBS data.
 When it comes to the scale of the entire cities , existing approaches always suffer from extensive computational cost and significant data sparsity.