公开(公告)号：US20250068996A1

公开(公告)日：2025-02-27

申请号：US18237961

申请日：2023-08-25

Applicant: ZEBRA TECHNOLOGIES CORPORATION

Inventor： Abdalkarim Mohtasib ,  Yuling Gu ,  Jay J. Williams ,  Bassam S Arshad

IPC: G06Q10/0631

Abstract: A method includes: obtaining task records defining tasks to be performed, and worker profiles corresponding to workers to perform the tasks; generating a bipartite sub-graph including: source nodes for the task records, each having a source feature vector encoding task attributes corresponding to the task record, a target node having a target feature vector encoding worker attributes corresponding to a first one of the worker profiles, and a set of edges connecting each source node with the target node, each edge having an edge feature vector derived by comparing the task attributes with the worker attributes; generating, via execution of a graph neural network, scores corresponding to the edges; based on the scores, allocating a first task to the first worker profile; and transmitting the task record corresponding to the first task to a client computing device corresponding to the first worker profile.