ConFit: Improving Resume-Job Matching using Data Augmentation and Contrastive Learning

Understand

A reliable resume-job matching system helps a company find suitable candidates from a pool of resumes, and helps a job seeker find relevant jobs from a list of job posts.

• However, since job seekers apply only to a few jobs, interaction records in resume-job datasets are sparse.
• Different from many prior work that use complex modeling techniques, we tackle this sparsity problem using data augmentations and a simple contrastive learning approach.
• ConFit first creates an augmented resume-job dataset by paraphrasing specific sections in a resume or a job post.