Invention Grant
- Patent Title: Machine learning techniques for processing tag-based representations of sequential interaction events
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Application No.: US15691410Application Date: 2017-08-30
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Publication No.: US10938927B2Publication Date: 2021-03-02
- Inventor: Peter Crossley , Ethan Dereszynski
- Applicant: ORACLE INTERNATIONAL CORPORATION
- Applicant Address: US CA Redwood City
- Assignee: ORACLE INTERNATIONAL CORPORATION
- Current Assignee: ORACLE INTERNATIONAL CORPORATION
- Current Assignee Address: US CA Redwood City
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: H04L29/08
- IPC: H04L29/08 ; G06N7/00 ; G06N20/00 ; G06N20/20 ; G06N5/02 ; G06N5/00 ; G06N3/02 ; G06N20/10

Abstract:
Methods and systems are provided for processing tag-based event communications using machine learning. One or more event communications are received from a user device. The communication(s) include key-value pairs representing an ordered sequence of multiple interaction events of a set of predefined events. Each communication of the one or more event communications includes one generated via execution of tag code integrated with code of an app page or of a webpage. A representation of the ordered sequence is processed using a machine learning model to generate one or more profile estimation results that include an identification of a particular user profile from amongst a set of stored user profile. Profile data is transmitted to a client system that identifies the particular user profile or is from the particular user profile.
Public/Granted literature
- US20180063265A1 MACHINE LEARNING TECHNIQUES FOR PROCESSING TAG-BASED REPRESENTATIONS OF SEQUENTIAL INTERACTION EVENTS Public/Granted day:2018-03-01
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