Skill-Aware Job Recommendation with Semantic-Enhanced Transformer

JobFormer, a two-stage method for job recommendation, leverages skill-aware JD representation to mitigate the heterogeneous gap between job descriptions and user profiles, as well as to promote recommendation performance.