Invention Grant
- Patent Title: Machine learning modeling using social graph signals
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Application No.: US17225767Application Date: 2021-04-08
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Publication No.: US11966853B2Publication Date: 2024-04-23
- Inventor: John Cain Blackwood , Jason Brewer , Nima Khajehnouri , Hadi Minooei , Benjamin C. Steele , Qian You
- Applicant: Snap Inc.
- Applicant Address: US CA Santa Monica
- Assignee: Snap Inc.
- Current Assignee: Snap Inc.
- Current Assignee Address: US CA Santa Monica
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06N5/02
- IPC: G06N5/02 ; G06F16/951 ; G06N5/022 ; G06N20/00

Abstract:
Systems and methods are provided for receiving a request for lookalike data, the request for lookalike data comprising seed data and generating sample data from the seed data and from user data for a plurality of users, to use in a lookalike model training. The systems and methods further provide for capturing a snapshot of social graph data for a plurality of users and computing social graph features based on the seed data and the user data for the plurality of users, training a lookalike model based on the sample data and the computed social graph features to generate a trained lookalike model, generating a lookalike score for each user of the plurality of users in the user data using the trained lookalike model, and generating a list comprising a unique identifier for each user of the plurality of users and an associated lookalike score for each unique identifier.
Public/Granted literature
- US20210224661A1 MACHINE LEARNING MODELING USING SOCIAL GRAPH SIGNALS Public/Granted day:2021-07-22
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