公开(公告)号：US20250094804A1

公开(公告)日：2025-03-20

申请号：US18883407

申请日：2024-09-12

Applicant: Oracle International Corporation

Inventor： Shashi Prasad Suravarapu ,  Amitabh Saikia ,  Srinivasa Phani Kumar Gadde ,  Diego Andres Cornejo Barra ,  Cody Nicholas Maheu ,  Yuanxu Wu ,  Laukik Satish Mujumdar ,  Daniel Bruce Carter ,  Zachary Jon-Christian Medeck ,  Jobinesh Purushothaman Manakkattil ,  Sangeet Dahal ,  Shweta Shyamsunder Gupta

IPC: G06N3/082 ,  G06N3/0455

Abstract: Techniques are disclosed for providing an authenticated model customization for a machine-learning model. A cloud service provider platform accesses a message including, at least, timestamp data and user identification data. A training group of data entities is identified based on the data in the message. A training dataset is determined based on the training group of data entities. A machine-learning model is modified based on the training dataset. The modified machine-learning model is provided during an authenticated network session associated with the user identification data. In some embodiments, the modification of the machine-learning model is removed based on a determination that the authenticated network session had ended.