Thesis Reviewer’s Committee Recommendation System

This paper presents a recommender system for the assignment of thesis reviewers at ESCOM-IPN Mexico. The system analyzes the thesis proposals, extracting relevant information and comparing it against the profiles of professors and courses given by the academic departments. The system determines the most suitable profiles and departments for the thesis review through a similarity evaluation. The results show that the system can generate accurate recommendations with a high degree of coincidence with the current process carried out by the committee in charge. In addition, the system performs an alternative process by suggesting reviewers with profiles more closely related to the thesis proposals considering additional information such as research papers and areas of expertise.