18328667. AUTOMATED DESCRIPTION GENERATION FOR JOB POSTING simplified abstract (Microsoft Technology Licensing, LLC)

AUTOMATED DESCRIPTION GENERATION FOR JOB POSTING

Organization Name

Microsoft Technology Licensing, LLC

Inventor(s)

Thomas Rosenkranz of San Francisco CA (US)

Asim Anis of Mountain View CA (US)

Andrew Chimka of San Francisco CA (US)

Daniel K. Hewlett of Clarksville MD (US)

Cho Won Kim of Belmont CA (US)

Zixin Li of San Francisco CA (US)

Hang Li of Cupertino CA (US)

Pierre Monestie of Half Moon Bay CA (US)

Jianqiang Shen of San Mateo CA (US)

Deanne Moree Chan of San Jose CA (US)

AUTOMATED DESCRIPTION GENERATION FOR JOB POSTING - A simplified explanation of the abstract

This abstract first appeared for US patent application 18328667 titled 'AUTOMATED DESCRIPTION GENERATION FOR JOB POSTING

Simplified Explanation: The described technology receives input related to a position to be filled, extracts data from a user connection network, formulates prompts, and generates position descriptions using a language model.

Key Features and Innovation:

• Input received from a user interface related to a position to be filled.
• Extraction of data from a user connection network based on the input.
• Formulation of prompts based on the input data.
• Generation of position descriptions using a generative language model.
• Sending the position descriptions back to the user interface.

Potential Applications: This technology can be used in recruitment processes, job matching platforms, and HR software systems.

Problems Solved: This technology streamlines the process of generating position descriptions based on input data, saving time and effort in recruitment tasks.

Benefits:

• Improved efficiency in creating position descriptions.
• Enhanced accuracy in matching candidates to job positions.
• Streamlined recruitment processes.

Commercial Applications: This technology can be utilized by recruitment agencies, HR departments, and job boards to automate and optimize the job matching process.

Questions about the Technology: 1. How does the technology validate and extract position data from the user connection network? 2. What are the potential limitations of using a generative language model to create position descriptions?

Original Abstract Submitted

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.