Lottery Purchase Prediction Model

Lottery Purchase Prediction Model

Objective and Goal

  • Predict the lottery type that the user in the session will buy, using the discrete features from the user face image and user’s historical purchase data.

  • Recommend lottery types to users and improve the order conversion rate, in order to increase sales revenue.

Data Source

  • The feature from the user face image in the Session (from Baidu Face Recognition API):

    Beauty, Expression, Emotion, Face ID (optional, only for old users)

  • Other features from Session:

    Session Time (in 24 hours)

  • Use the session face id to get user id, and retrieve the historical order data of this user:

    City, Lottery Type, New/Old Users, Lottery Station Type (supermarket,

     

     

     

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