US 2026/0023819 A1 · TASK CODE RECOMMENDATION MODEL

Abstract

Certain aspects of the present disclosure relate to a display device. In some embodiments, the device comprises a display and one or more processors configured to implement a user interface on the display. In some embodiments, the display device is configured to transmit a signal. Certain embodiments provide that the user interface is configured to allow a user to enter time for a task. According to certain embodiments, in response to a user initiating a time entry process, a set of task codes is generated by a machine learning model based on a data array comprising a task code history and a geospatial location of the device. Some embodiments provide that the geospatial location is determined based on the transmitted signal. Certain embodiments provide that the generated set of task codes is provided to the user via the user interface.

Claims20

Dependent claims

A system, comprising:

one or more processors;
and
a memory comprising instructions that, when executed by the one or more processors, cause the system to:
generate a graphical user interface comprising:
a task code field configured to display a set of task codes to a user and allow the user to select a task code of the set of task codes, wherein the set of task codes is generated by a machine learning model based on a data array comprising a task code history and a geospatial location of a user device;
a manual entry field configured to allow the user to manually enter task codes;
and
an input field configured to accept time entry information as input, wherein a time entry is created based on the time entry information and a given task code of the set of task codes that was selected by the user;
and
retrain the machine learning model based on the user manually entering a task code.

7 more elements

Dependencies are inferred from the claim text.

Task code recommendation model

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Task code recommendation model

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Abstract

Claims20