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CLICK RATE PREDICTION METHOD, ELECTRONIC APPARATUS AND COMPUTER-READABLE STORAGE MEDIUM

机译:点击率预测方法,电子设备和计算机可读存储介质

摘要

A click rate prediction method, an electronic apparatus and a computer-readable storage medium. The click rate prediction method comprises: inputting sample data into a tree model for training to obtain a leaf node code corresponding to the sample data, wherein the sample data is sample data having the features related to a click rate; carrying out feature merging on the leaf node code and the sample data to obtain mixed sample features; inputting the mixed sample features into an embedding layer for data processing to convert sparse discrete feature vectors in the mixed sample features to successive feature vectors; and respectively inputting the mixed sample features processed by means of the embedding layer into a factorization machine model and a deep neural network model for training, merging a factorization machine output result and a deep network hidden layer output result, and outputting a prediction result.
机译:点击率预测方法,电子设备和计算机可读存储介质。点击率预测方法包括:将样本数据输入到树模型中进行训练以获得与样本数据相对应的叶节点代码,其中,样本数据是具有与点击率相关的特征的样本数据;对叶节点代码和样本数据进行特征合并,得到混合样本特征;将混合样本特征输入到嵌入层进行数据处理,以将混合样本特征中的稀疏离散特征向量转换为连续特征向量;将通过嵌入层处理后的混合样本特征分别输入到分解机器模型和深度神经网络模型中进行训练,将分解机器输出结果和深度网络隐层输出结果合并,并输出预测结果。

著录项

  • 公开/公告号WO2020047819A1

    专利类型

  • 公开/公告日2020-03-12

    原文格式PDF

  • 申请/专利权人 SHENZHEN UNIVERSITY;

    申请/专利号WO2018CN104523

  • 发明设计人 LIU ZHIQIANG;WANG NA;LI XIA;

    申请日2018-09-07

  • 分类号G06F16/9535;

  • 国家 WO

  • 入库时间 2022-08-21 11:13:00

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