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en:services:it_security:aai:start [2023/03/01 11:32] – [Identification of Multiple Accounts using Deep Learning] sdabbagen:services:it_security:aai:start [2023/03/08 06:52] – [Feedback] sdabbag
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 Once the model has been trained, it is used to provide recommendations to users and assist them in identifying and linking their multiple accounts. The system automates the linking process, eliminating the need for users to link their accounts manually. This can save time and provide a more user-friendly experience. Once the model has been trained, it is used to provide recommendations to users and assist them in identifying and linking their multiple accounts. The system automates the linking process, eliminating the need for users to link their accounts manually. This can save time and provide a more user-friendly experience.
  
-We take the privacy and security of our users' information seriously. To see the list of data we use for training the model, refer to the [[https://www.gwdg.de/privacy-notice| GWDG privacy page]]. We have also implemented various security measures such as encryption and tokenization when storing sensitive data so as not to compromise their personal information or violate any regulations regarding data protection laws like GDPR (General Data Protection Regulation).+We take the privacy and security of our users' information seriously. To see the list of data we use for training the model, refer to the [[https://www.gwdg.de/privacy-notice| GWDG privacy page]]. We have also implemented various security measures such as encryption and tokenization when storing sensitive data so as not to compromise user personal information or violate any regulations regarding data protection laws like GDPR (General Data Protection Regulation).
  
 === Feedback === === Feedback ===
 As we are in the preparation process for this new service, we are eager to receive feedback from users to estimate our deep learning model's performance and plan our future steps accordingly. Our next steps will be to improve the model's performance for more accurate suggestions and integrate the model's output into more services. As we are in the preparation process for this new service, we are eager to receive feedback from users to estimate our deep learning model's performance and plan our future steps accordingly. Our next steps will be to improve the model's performance for more accurate suggestions and integrate the model's output into more services.
  
-For more information, please read [[https://ieeexplore.ieee.org/document/9524207|this]] article.+For more information, please read [[https://ieeexplore.ieee.org/document/9524207|this article]].