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Automated description generation for job posting

Grant US12579517B2 Kind: B2 Mar 17, 2026

Assignee

Microsoft Technology Licensing, LLC

Inventors

Thomas Rosenkranz, Asim Anis, Andrew Chimka, Daniel K. Hewlett, Cho Won Kim, Zixin Li, Hang Li, Pierre Monestie, Jianqiang Shen, Deanne Moree Chan

Abstract

Embodiments of the described technologies receive, via a user interface, an input associated with a first user of a user connection network. The input identifies first position data related to a position capable of being filled by a hiring of a person. In response to validating the first position data, second position data different from the first position data is extracted from the user connection network, based on the first position data. A first prompt is formulated based on the first position data and the second position data. The first prompt is sent to a generative language model. A first piece of writing is received from the generative language model. The first piece of writing includes a position description output by the generative language model based on the first prompt. The position description is sent to the user interface in response to the input.

CPC Classifications

G06Q 10/1053 G06F 40/194 G06F 40/166 G06F 40/40 G06F 40/197

Filing Date

2023-06-02

Application No.

18328667

Claims

20