MULTI-MODEL APPROACH FOR JOB RECOMMENDATION PLATFORM

A job recommendation system automatically generates job recommendations for users based at least in part on automatically generated and/or automatically maintained employee data stored within employee profiles and employer structure data. The employer structure data is utilized to generate one or more predictive models for generating scores predictive of job transitions between jobcodes and/or departments. Moreover, the employee data is compared against job opening data to identify similarity scores therebetween. The one or more predictive models and the one or more similarities scores are combined into a job recommendation algorithm utilized to generate one or more job recommendations for the user.