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In this paper, we propose a method to predict nextone-day-purchase behavior of "Online to Offline"(O2O) itemsbased on huge scale of user behavior log. The overall solution isdescribed in 2 parts: the feature engineering of the user behaviorlog and the ensemble of different supervised learning models. Inthe feature engineering section, besides the basic features, wefurther analyze the behavior...
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