FR: A Recommender for Finding Faculty Based on CF Technique

Number of options available for online users for buying items is growing manifold; tool which has come to the rescue of online users is Recommender Systems. Recommender System is expanding as an influential research area and has its applications in various fields like e-commerce, business, entertainment, education, medical sciences and so on. The developed applications in education field are limited to recommend the articles, research papers, courses and books to students and research scholars. However, application of recommender system to recommend faculty of an education institution to the students, management and other members does not exist. So to further extend its usage in education domain, applications of recommender system to recommend faculty of education institution to the students, management and other members is proposed and evaluated in this work. The collaborative filtering (CF) is used to implement Faculty Recommender and comparison between the user-user CF and item-item CF results is done to find the optimal approach for this proposed Faculty Recommender system.