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Introduction

Dataset

1. Land use

后缀为_cell_poi 文件中,存储了poi的相关信息,其中包括poi的id,名字,经纬度,类别id,类别名称以及它所在的网格id。

后缀为_land2type(1)的文件,存储了相关网格的信息,包括经纬度、网格类别等等。

后缀为_cell_info的文件存储的是包含了poi的网格信息,即_land2type(1)中包含的网格数量更多。

删去不在网格内poi后,各城市 poi 各大类别数量如下:

图片

其中,纽约的网格类别代码为:

1 Residential

2 Mixed Residential & Commercial Buildings

3 Commercial & Office Buildings

4 Transportation & Utility

5 Open Space & Outdoor Recreation

6 Other

其余四个城市的网格类别代码为:

1 High Density Urban Fabric

2 ML-Density Urban Fabric

3 Industrial,commercial, public, military and private units

4 Open Space& Recreation

5 Transportation

2. Check-ins data

TIST2015
TSMC2014

链接:https://pan.baidu.com/s/1wWqNYOKd4Npzixz27uuh3w 提取码:mfgg

Models

SC

From itdl to place2vec: Reasoning about place type similarity and relatedness by learning embeddings from augmented spatial contexts

STES

Unsupervised learning of parsimonious general-purpose embeddings for user and location modeling

habit2vec

Habit2vec: Trajectory semantic embedding for living pattern recognition in population

CatDM

A category-aware deep model for successive poi recommendation on sparse check-in data

POI2vec

Poi2vec: Geographical latent representation for predicting future visitors

GeoSAN

Geography-aware sequential location recommendation

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