Base experiment result

Pre-train result

GraphCityResult
CorrelationNYC7.00824
CorrelationChicago3.29530
CorrelationDC2.86770
DistanceNYC7.96931
DistanceChicago3.10245
DistanceDC3.78748

Parameters (chosen by experiments)

  1. FT与Transfer,Validate数据 使用训练数据的30%,Test data 长度约为30天
  2. TD的训练数据为工作日(周三)
  3. 训练学习率 1e-5,early-stopping的测试长度为500-epoch (当lr较大时FT效果会很差,所以保持了比较小的值,lr对Transfer的影响不大)
  4. static training
GraphMatchSDTDtransfer-ratioTD-训练样本数量TD-DirectTD-FTTD-Transfer
Correlationcheckinnycchicago0.11天4.677123.922693.99061
Correlationcheckinnycchicago0.13天4.221213.712753.74433
Correlationcheckinnycchicago0.15天4.326503.872184.06787
Correlationcheckinnycchicago0.17天3.777263.628293.64411
Correlationcheckinnycdc0.11天3.777753.412023.24368
Correlationcheckinnycdc0.13天3.535913.237913.22884
Correlationcheckinnycdc0.15天3.394633.394103.39393
Correlationcheckinnycdc0.17天3.383103.238713.23573
Correlationcheckinchicagodc0.11天3.781573.717893.69317
Correlationcheckinchicagodc0.13天3.697403.136703.16728
Correlationcheckinchicagodc0.15天3.628143.167643.18577
Correlationcheckinchicagodc0.17天3.584333.113013.15291
Correlationcheckinchicagonyc0.11天7.339296.900016.96449
Correlationcheckinchicagonyc0.13天7.222626.798496.76211
Correlationcheckinchicagonyc0.15天7.138526.696557.10062
Correlationcheckinchicagonyc0.17天7.121676.699287.10788
Correlationcheckindcnyc0.11天9.427647.781207.75579
Correlationcheckindcnyc0.13天7.922336.919188.86747
Correlationcheckindcnyc0.15天7.872327.599957.87427
Correlationcheckindcnyc0.17天7.810397.438017.81107
Correlationcheckindcchicago0.11天10.582034.677534.75832
Correlationcheckindcchicago0.13天11.233204.378804.00140
Correlationcheckindcchicago0.15天9.930563.784313.73602
Correlationcheckindcchicago0.17天8.547514.079843.84819
GraphMatchSDTDtransfer-ratioTD-训练样本数量TD-DirectTD-FTTD-Transfer
Distancecheckinnycchicago0.11天4.704414.7036112.59841
Distancecheckinnycchicago0.13天4.704414.823474.78770
Distancecheckinnycchicago0.15天4.704414.833544.81036
Distancecheckinnycchicago0.17天4.704414.700704.74429
Distancecheckinnycdc0.11天4.189984.188154.18669
Distancecheckinnycdc0.13天4.189983.955833.95511
Distancecheckinnycdc0.15天4.189983.968944.01603
Distancecheckinchicagodc0.11天3.199003.104183.11494
Distancecheckinchicagodc0.13天3.199003.006623.13352
Distancecheckinchicagodc0.15天3.199002.984742.99215
Distancecheckinchicagodc0.17天3.199002.895812.94413
Distancecheckinchicagonyc0.11天10.244559.4428212.85142
Distancecheckinchicagonyc0.13天10.244556.8798712.93270
Distancecheckinchicagonyc0.15天10.2445510.2173713.56898
Distancecheckinchicagonyc0.17天10.244556.6606912.12317
Distancecheckindcnyc0.11天7.235247.234367.23350
Distancecheckindcnyc0.13天7.235246.736506.81929
Distancecheckindcnyc0.15天7.235247.234407.23744
Distancecheckindcnyc0.17天7.235247.238367.23745
Distancecheckindcchicago0.11天4.346424.353964.34736
Distancecheckindcchicago0.15天4.346424.497374.39714
Distancecheckindcchicago0.17天4.346424.492324.37209
Distancecheckindcchicago0.13天4.346424.468494.47618

总结

  1. Correlation graph 的迁移效果比 Distance graph 好
  2. 迁移效果较明显的是:NYC => DC,DC => Chicago

Tuning match methods

transfer ratio = 0.1,graph = Correlation,其余参数与上一节列出的相同

以下为使用不用match方法进行匹配的迁移结果,结果展示以迁移方向为组、每组内包含4种相似站点匹配方法,加粗的是目标区域有1天3天的情况下,迁移结果rmse最小的匹配方法

  1. checkin 匹配方法:使用站点附近1km、工作日与节假日的checkin特征进行匹配
  2. poi 匹配方法:使用站点附近1km的poi特征进行匹配
  3. traffic:使用目标区域训练数据进行匹配
  4. fake_traffic:在目标区域使用一个月流量数据进行匹配,训练数据、测试数据保持与其他实验一致
MatchSDTDTD-训练样本数量TD-DirectTD-FTTD-Transfer
checkinnycchicago1天4.765193.917754.00033
checkinnycchicago3天4.216273.717553.73617
poinycchicago1天4.765193.917753.99740
poinycchicago3天4.216273.717553.71152
trafficnycchicago1天4.765193.917753.99903
trafficnycchicago3天4.216273.717553.71532
fake_trafficnycchicago1天4.765193.917754.01753
fake_trafficnycchicago3天4.216273.717553.71876
checkinnycdc1天3.779533.409483.27021
checkinnycdc3天3.535723.248633.22698
poinycdc1天3.779533.409483.26955
poinycdc3天3.535723.248633.23642
trafficnycdc1天3.779533.409483.27314
trafficnycdc3天3.535723.248633.24170
fake_trafficnycdc1天3.779533.409483.25348
fake_trafficnycdc3天3.535723.248633.23603
checkinchicagodc1天3.780833.717143.69250
checkinchicagodc3天3.697483.152003.15129
poichicagodc1天3.780833.717143.69245
poichicagodc3天3.697483.152003.16164
trafficchicagodc1天3.780833.717143.68980
trafficchicagodc3天3.697483.152003.18018
fake_trafficchicagodc1天3.780833.717143.70910
fake_trafficchicagodc3天3.697483.152003.20673
checkinchicagonyc1天7.338636.900456.96378
checkinchicagonyc3天7.222496.834816.77691
poichicagonyc1天7.338636.900456.94736
poichicagonyc3天7.222496.834816.80737
trafficchicagonyc1天7.338636.900456.96541
trafficchicagonyc3天7.222497.000437.78913
fake_trafficchicagonyc1天7.338636.900456.94016
fake_trafficchicagonyc3天7.222496.834816.81975
checkindcnyc1天9.383677.776157.49206
checkindcnyc3天7.921806.936867.64479
poidcnyc1天9.383677.776157.54143
poidcnyc3天7.921806.936867.92671
trafficdcnyc1天9.383677.776157.58968
trafficdcnyc3天7.921806.936868.59754
fake_trafficdcnyc1天9.383677.776157.72215
fake_trafficdcnyc3天7.921806.936869.24880
checkindcchicago1天10.607264.713154.52085
checkindcchicago3天11.212223.798173.58828
poidcchicago1天10.607264.713154.48266
poidcchicago3天11.212223.798173.81154
trafficdcchicago1天10.607264.713154.52752
trafficdcchicago3天11.212223.798173.64937
fake_trafficdcchicago1天10.607264.713154.70475
fake_trafficdcchicago3天11.212223.798173.67280

Tuning transfer mode

graph:correlation,transfer ratio:0.1,match-method:checkin

TrainModeSDTDTD-训练样本数量TD-DirectTD-FTTD-Transfer
dynamicnycchicago1天4.677123.922693.99061
staticnycchicago1天4.677123.922693.99061
dynamicnycchicago3天4.221213.727313.72169
staticnycchicago3天4.221213.727313.74433
dynamicnycchicago5天4.326504.035274.09383
staticnycchicago5天4.326504.035274.06787
dynamicnycchicago7天3.777263.628863.64174
staticnycchicago7天3.777263.628863.64411
dynamicnycdc1天3.777753.412193.24365
staticnycdc1天3.777753.412193.24368
dynamicnycdc3天3.535913.244963.23717
staticnycdc3天3.535913.244963.22884
dynamicnycdc5天3.394633.398773.41054
staticnycdc5天3.394633.398773.39393
dynamicnycdc7天3.383103.291573.27758
staticnycdc7天3.383103.291573.23573
dynamicchicagodc1天3.781573.717893.69317
staticchicagodc1天3.781573.717893.69317
dynamicchicagodc3天3.697403.146313.18608
staticchicagodc3天3.697403.146313.16728
dynamicchicagodc5天3.628143.170783.19249
staticchicagodc5天3.628143.170783.18577
dynamicchicagodc7天3.584333.115493.15131
staticchicagodc7天3.584333.115493.15291
dynamicchicagonyc1天7.339297.385976.96449
staticchicagonyc1天7.339297.385976.96449
dynamicchicagonyc3天7.559726.800386.77189
staticchicagonyc3天7.222626.800386.76211
dynamicchicagonyc5天7.138526.686047.10314
staticchicagonyc5天7.138526.686047.10062
dynamicchicagonyc7天7.121676.671037.09394
staticchicagonyc7天7.121676.671037.10788
dynamicdcnyc1天9.419777.781207.75578
staticdcnyc1天9.427647.781207.75579
dynamicdcnyc3天7.922336.937708.94962
staticdcnyc3天7.922336.937708.86747
dynamicdcnyc5天7.872327.671697.87556
staticdcnyc5天7.872327.671697.87427
dynamicdcnyc7天24.381277.733807.81032
staticdcnyc7天7.810397.733807.81107
dynamicdcchicago1天10.582034.677994.75832
staticdcchicago1天10.582034.677994.75832
dynamicdcchicago3天11.233203.824424.21488
staticdcchicago3天11.233203.824424.00140
dynamicdcchicago5天9.930563.792953.91066
staticdcchicago5天9.930563.792953.73602
dynamicdcchicago7天8.547514.086693.75169
staticdcchicago7天8.547514.086693.84819

dynamic 和 static 训练方式的结果非常相近