Microsoft Corporation
TRANSFORMER FOR ENCODING TEXT FOR USE IN RANKING ONLINE JOB POSTINGS

Abstract:

Described herein is machine learning model comprising a neural network that is trained to generate a ranking score for an online job posting. The neural network takes as input a variety of input features, including at least a first input feature that is an encoded representation of a search query as generated by a first Transformer encoder, an encoded representation of a job title as generated by a second Transformer encoder, and an encoded representation of a company name as generated by a third Transformer encoder. Once a plurality of online job postings are ranked, some subset of the plurality are presented in a user interface, ordered based on their respective ranking scores.