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  • 标题:Decision Making Support System for Managing Advertisers By Ad Fraud Detection
  • 本地全文:下载
  • 作者:Marcin Gabryel ; Magdalena M.Scherer ; Łukasz Sułkowski
  • 期刊名称:Journal of Artificial Intelligence and Soft Computing Research
  • 电子版ISSN:2083-2567
  • 出版年度:2021
  • 卷号:11
  • 期号:4
  • 页码:331-339
  • DOI:10.2478/jaiscr-2021-0020
  • 语种:English
  • 出版社:Walter de Gruyter GmbH
  • 摘要:Efficient lead management allows substantially enhancing online channel marketing programs. In the paper, we classify website traffic into human- and bot-origin ones. We use feedforward neural networks with embedding layers. Moreover, we use one-hot encoding for categorical data. The data of mouse clicks come from seven large retail stores and the data of lead classification from three financial institutions. The data are collected by a JavaScript code embedded into HTML pages. The three proposed models achieved relatively high accuracy in detecting artificially generated traffic.
  • 关键词:lead management;feedforward neural networks;embedding;online marketing
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