Digital marketing program design based on abnormal consumer behavior data classification and improved homomorphic encryption algorithm
Jun Cui,
Hao Jiang,
Zhendan Xu
Abstract:This article endeavors to delve into the conceptualization of a digital marketing framework grounded in consumer data and homomorphic encryption. The methodology entails employing GridSearch to harmonize and store the leaf nodes acquired post-training of the CatBoost model. These leaf node data subsequently serve as inputs for the radial basis function (RBF) layer, facilitating the mapping of leaf nodes into the hidden layer space. This sequential process culminates in the classification of user online consump… Show more
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