Deep & Cross Network for Ad Click Predictions

17 Aug 2017Ruoxi WangBin FuGang FuMingliang Wang

Feature engineering has been the key to the success of many prediction models. However, the process is non-trivial and often requires manual feature engineering or exhaustive searching... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Click-Through Rate Prediction Criteo Deep & Cross Network Log Loss 0.4419 # 5

Methods used in the Paper


METHOD TYPE
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