ç¾›¢€œ¯²™é¾™02 - O2O’解†³–¹ˆ

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  • O2O

  • 2014- 2014- 4 2010- 1

    21097075

  • POI/DEAL

  • O2O

    smartbox

    POI/DEAL

    KTV

    l 1-2 l 3-5

  • l 30%+3000w

    l Top495%

    30.00%

    35.00%

    40.00%

    45.00%

    50.00%

    55.00%

    2015

    0101

    20

    1501

    16

    2015

    0131

    20

    1502

    15

    2015

    0302

    20

    1503

    17

    2015

    0401

    20

    1504

    16

    2015

    0501

    20

    1505

    16

    2015

    0531

    20

    1506

    15

    2015

    0701

    20

    1507

    16

    2015

    0801

    20

    1508

    16

    2015

    0831

    20

    1509

    15

    2015

    0930

    20

    1510

    15

  • smartbox

  • -

    JOIN

    POI/DEAL

    LABEL

  • -

    KV

    hadoop

    hive

    spark

  • -

    QUERY-DEAL CTR

    POI-USER

    DEAL-USER

    QUERY CTR CVR

    DEAL CTR CVR Isnew

    USER

    POI WIFI DEAL

    QUERY-POI

  • -

    querybrandname

    POI

    POI

  • -

    1

    1

    2 2

  • - Application

    Flume Impression Log

    Labeled Data

    Order/Click Log

    Deal DB

    Model 1

    Feature

    Offline Training

    Model 2

    Online Training

    Rerank Service

    DEBU

    G

    ABTEST

  • --

    protoBufferLib

    serialize

    KV

    deserialize

    OnlineFeatureMap

  • -

    rank

    Online learning GBDT

    GBDT

    LR

  • -

    CTRP(click|show)

    acaonP(acaon|click)

    P(instant)

    E&E

  • POI/DEAL ?

    l l

  • -

    hadoop

    hive

    spark

    storm

    ATP

    hdfs

    hive

    hbase

    tair

    updater

    T

  • -

    Geohash

    6

    3

    1

    2

    X

    wifi

    Geohash

    POI

    DEAL

    QUERY X

  • -

    POI

  • -

    Label

    KV

    1

    2

    3

    4

    N+1

    N+2

    N

    GBDT

    LR

  • -

    2

    storm

  • LR SVM

    MinMax Standard

    API Command

    Chi squared

    Topic Model GBDT

    Mutual Informaaon

    DEBUG

    l

  • -GBDT

    Hypothesis

    Loss Funcaon

    Update Funcaon

    Tree 1 Tree 2 Tree M

    ......

    1( ) ( ; )

    M

    M m mm

    h x T x=

    = 2

    1

    1min ( ) min ( ( ))2

    N

    i ih H h H iL h y h x

    =

    1, 1

    { , } arg min ( , ( ) ( ; ))m m

    N

    m m i m m miL y h x T x

    =

    = +

  • -GBDT Command sample

    . /gbdt_train -train trainset -test testset -model model_path -conf config_file

    arguments (conf/gbdt.conf)

    dim=100 # depth=4 # iteraaons=100 # shrinkage=0.2 # fraao=1.0 # draao=1.0 # maxBins=40 # bin loss=LogLikelihood # loglikelihood square error init=false # hasInitValue=false # debug=true # debug