Recommendation Analysis of Candidates for Student Union Leadership Based on Data Mining Techniques

Recommender systems are ever-trending research that can be applied in various domains. Voting for the preferred candidates has to be an issue in a student union environment. A Candidate recommendation system for student union leadership provides the means to students especially the freshers with their preferred student union leaders selection process with a good number of leadership attributes. In this paper, we proposed a recommender system that understands what the information seeker needs and through simple interface generates recommendations for him/her accordingly which provides information to the information seeker to vote for the preferred candidates into the student union leadership.