Invention Grant
- Patent Title: Online user behavior analysis service backed by deep learning models trained on shared digital information
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Application No.: US16526402Application Date: 2019-07-30
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Publication No.: US11539716B2Publication Date: 2022-12-27
- Inventor: Cong A. Meng , Yuetong Wang , Yang Xu , Buodo Li , Ting-Fang Yen , Fang Yu , Yinglian Xie
- Applicant: DataVisor, Inc.
- Applicant Address: US CA Mountain View
- Assignee: DataVisor, Inc.
- Current Assignee: DataVisor, Inc.
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: H04L9/40
- IPC: H04L9/40 ; G06N3/08

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for online fraud protection. One of the methods includes receiving a query associated with a user account of an online service provider; providing the query to a deep neural network model to generate a prediction of whether the user account is fraudulent, wherein the deep neural network model is trained using anonymized event data for a collection of users received from one or more online service providers; and providing the prediction to the online service provider.
Public/Granted literature
Information query