Invention Grant
- Patent Title: Facilitating machine-learning and data analysis by computing user-session representation vectors
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Application No.: US15486862Application Date: 2017-04-13
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Publication No.: US10726325B2Publication Date: 2020-07-28
- Inventor: Balaji Krishnamurthy , Piyush Gupta , Nupur Kumari , Akash Rupela
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: G06N3/04
- IPC: G06N3/04 ; G06N3/08

Abstract:
Disclosed systems and methods generate user-session representation vectors from data generated by user interactions with online services. A transformation application executing on a computing device receives interaction data, which is generated by user devices interacting with an online service. The transformation application separates the interaction data into session datasets. The transformation involves normalizing the session datasets by modifying the rows within each session dataset by removing event identifiers and time stamps. The application transforms each normalized session dataset into a respective user-session representation vector. The application outputs the user-session representation vectors.
Public/Granted literature
- US20180300609A1 Facilitating machine-learning and data analysis by computing user-session representation vectors Public/Granted day:2018-10-18
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