Check-In与POI数据处理方法

数据详情

  1. 时间范围:Apr 2012 ~ Sept 2013

  2. 三个城市的POI数量与check-in数量

    城市POI数量(计算城市中心为原点、半径为50km的POI数量)日均check-in数量(粗略计算所有站点附近1km的checkin数量总和)
    NYC71310工作日11707,节假日11358
    Chicago21949工作日2549,节假日2692
    DC21087工作日6049,节假日5450

Check-In 特征计算方法

计算 2013-07-15 到 2013-09-15 之间,各个自行车站点附近1km的checkin总数量,按照工作日和节假日分开,即每个站点的特征维度为48,分别为工作日、节假日的24小时checkin

POI特征计算方法

一共有428种POI,每个站点统计附近1km出现的POI类型,即每个站点有428维特征

特征相似度方法

Cosine Similarity

使用Check-In数据进行相似站点的匹配

SDTDtransfer-ratioTD-训练样本数量TD-DirectTD-FTTD-Transfer
dcnyc0.11天5.352445.151558.97297
dcnyc0.13天5.352444.831865.60889
dcnyc0.15天5.352444.794844.86073
dcnyc0.17天5.352444.839275.09481
dcchicago0.11天3.659033.6770435.02312
dcchicago0.13天3.659033.386824.10283
dcchicago0.15天3.659033.390813.44701
dcchicago0.17天3.659033.161863.36458
chicagonyc0.11天7.482546.195888.28328
chicagonyc0.13天7.482545.574365.89025
chicagonyc0.15天7.482545.547115.64965
chicagonyc0.17天7.482545.264076.34057
chicagodc0.11天4.323903.876295.78612
chicagodc0.13天4.323904.996204.85723
chicagodc0.15天4.323903.263803.38408
chicagodc0.17天4.323903.151683.27858
nycchicago0.11天5.173564.4306912.75022
nycchicago0.13天5.173563.946284.34232
nycchicago0.15天5.173563.938684.52421
nycchicago0.17天5.173563.467383.44230
nycdc0.11天4.111763.589244.46261
nycdc0.13天4.111763.292044.51947
nycdc0.15天4.111763.227823.44588
nycdc0.17天4.111763.091173.17292

使用POI信息进行相似站点匹配

SDTDtransfer-ratioTD-训练样本数量TD-DirectTD-FTTD-Transfer
dcnyc0.11天5.352445.151557.74238
dcnyc0.13天5.352444.831865.22502
dcnyc0.15天5.352444.794845.14237
dcnyc0.17天5.352444.839275.11173
dcchicago0.11天3.659033.6770442.10733
dcchicago0.13天3.659033.386824.01524
dcchicago0.15天3.659033.390813.80654
dcchicago0.17天3.659033.161863.40228
chicagonyc0.11天7.482546.195889.68558
chicagonyc0.13天7.482545.574366.06141
chicagonyc0.15天7.482545.547115.64207
chicagonyc0.17天7.482545.264075.95202
chicagodc0.11天4.323903.876297.71124
chicagodc0.13天4.323904.996205.20308
chicagodc0.15天4.323903.263803.41202
chicagodc0.17天4.323903.151683.36520
nycchicago0.11天5.173564.430698.70660
nycchicago0.13天5.173563.946284.68907
nycchicago0.15天5.173563.938684.71885
nycchicago0.17天5.173563.467383.54126
nycdc0.11天4.111763.589244.54878
nycdc0.13天4.111763.292046.51714
nycdc0.15天4.111763.227823.50503
nycdc0.17天4.111763.091173.35844
SDTDtransfer-ratioTD-训练样本数量TD-DirectTD-FTTD-Transfer
dcnyc0.21天5.352445.151558.01029
dcnyc0.23天5.352444.831865.52622
dcnyc0.25天5.352444.794845.30417
dcnyc0.27天5.352444.839276.07645
dcnyc0.29天5.352444.935935.96554
dcchicago0.21天3.659033.6770446.02469
dcchicago0.23天3.659033.386824.22828
dcchicago0.25天3.659033.390814.37432
dcchicago0.27天3.659033.161863.56052
dcchicago0.29天3.659033.127683.39922
nycchicago0.21天5.173564.4306911.41116
nycchicago0.23天5.173563.946284.55703
nycchicago0.25天5.173563.938684.31149
nycchicago0.27天5.173563.467383.59811
nycchicago0.29天5.173563.376433.48236
nycdc0.21天4.111763.589245.95973
nycdc0.23天4.111763.292045.09110
nycdc0.25天4.111763.227824.01670
nycdc0.27天4.111763.091173.34005
nycdc0.29天4.111763.028133.31671
chicagonyc0.21天7.482546.195889.18276
chicagonyc0.23天7.482545.574365.94807
chicagonyc0.25天7.482545.547116.02357
chicagonyc0.27天7.482545.264076.02906
chicagonyc0.29天7.482545.219055.96555
chicagodc0.21天4.323903.876295.75511
chicagodc0.23天4.323904.996207.56254
chicagodc0.25天4.323903.263804.44143
chicagodc0.27天4.323903.151683.65643
chicagodc0.29天4.323903.136023.25901

分析Transfer效果在城市中的分布

绿色的点表示transfer效果好于finetune,红色代表差于finetune

Target City DC

左侧为 Chicago=>DC,Overall result :Finetune 3.13602,Transfer 3.25901

右侧为 NYC=>DC,Overall result :Finetune 3.02813,Transfer 3.31671

1567254312266

Target City NYC

左侧为 DC => NYC,Overall result :Finetune 4.93593,Transfer 5.96554

右侧为 Chicago =>NYC,Overall result :Finetune 5.21905,Transfer 5.96555

1567253682671

Target City Chicago

左侧为 NYC=>Chicago,Overall result :Finetune 3.37643,Transfer 3.48236

右侧为 DC=>Chicago,Overall result :Finetune 3.12768,Transfer 3.39922

1567255183794