SYSTEM AND METHOD FOR RECOMMENDING BUSINESS SCHOOLS BASED ON ASSESSING PROFILES OF APPLICANTS AND BUSINESS SCHOOLS

摘要

A system and method for recommending business schools based on an assessment of profiles of applicants and business schools. The method stores datasets pertaining to applicants, business schools, and admissions in a database through a storing module. Then the method reads and transforms the datasets into a structured dataset through a reading module. The method normalizes the datasets to provide a corresponding value to each dataset stored in the database through a data normalization module. The method maps first variables with second variables to compare the profile of the applicant and business school through a variable-mapping module. The method creates multi-label classification model through a multi-label classification module. The method computes a first similarity score between the profiles of the applicants and business schools through a similarity module and second similarity score by utilizing admission transactions data through a transaction-based matrix module.