Design of Domain-driven Microservices-based Software Talent Evaluation and Recommendation System

Software talent ability evaluation exists both on the school side and the market side. Companies cannot fully understand the ability of candidates through resumes and interviews in a short period. In response to this situation, this paper proposes a microservices-based evaluation and recommendation system that attempts to bridge the supply and demand sides of talent. We collect multi-dimensional data on students’ learning process and engineering project activities during their school years from the school side, use the crawled job requirement data to build the occupational competency requirement model from the market side, and finally use similarity calculation to achieve talent recommendation.