← USPTO Patent Grants

Transfer learning for seniority modeling label shortage

Grant US12585943B2 Kind: B2 Mar 24, 2026

Assignee

Microsoft Technology Licensing, LLC

Inventors

Zheng Zhang, Sufeng Niu, Di Zhou, Jacob Bollinger

Abstract

Techniques for using transfer learning to address label data shortage in seniority modeling for an online service are disclosed herein. In some embodiments, a computer-implemented method comprises training an initialized neural network using training examples comprising profile data and labels for the profile data, where each label comprises a standardized position title, and the training of the initialized neural network forms a pre-trained neural network. Next, the computer system may train the pre-trained neural network using training examples comprising profile data and labels for the profile data, where the labels comprise a position seniority, and the training of the pre-trained neural network forms a fine-tuned neural network. The computer system may then compute the position seniority for a user based on profile data of the user using the fine-tuned neural network, and use the position seniority of the user in an application of an online service.

CPC Classifications

G06N 3/08

Filing Date

2022-10-07

Application No.

17962364

Claims

20

View original document →