Invention Grant
- Patent Title: Multi-task deep learning of time record events
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Application No.: US17140892Application Date: 2021-01-04
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Publication No.: US11631055B2Publication Date: 2023-04-18
- Inventor: Wagner Peres , Guilherme Gomes , Stefan Zanona , Roberto Silveira
- Applicant: ADP, INC.
- Applicant Address: US NJ Roseland
- Assignee: ADP, INC.
- Current Assignee: ADP, INC.
- Current Assignee Address: US NJ Roseland
- Agency: Foley & Lardner LLP
- Main IPC: G06Q10/10
- IPC: G06Q10/10 ; G06Q10/1091 ; G06Q10/04 ; G06F17/18 ; G06N3/04 ; G06N3/08

Abstract:
A method, computer system, and computer program product are provided for managing time record events. Time record events are collected for a number of users. Each time record event includes a geolocation of one of a number of users. The time record events and geolocations for each of the number of users are models via machine learning. A current geolocation for a given user is identified. A suggested event is predicted based on the current geolocation and a current time. The suggested event is pushed to the user.
Public/Granted literature
- US20220215347A1 MULTI-TASK DEEP LEARNING OF TIME RECORD EVENTS Public/Granted day:2022-07-07
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