A collaborative filtering based library book recommendation system

Library plays an important role in assist learning for college and university students. Thus, effectiveness and efficiency of book recommendation system is a significant issue which could enhance students' performance. This research presents the process of book recommendation by using the collaborative filtering (CF) for university students. The CF technique composes of similarity calculation, prediction and recommendation. In our experiments, matrix factorization technique is also adopted to solve sparsity of rating matrix. Different techniques of similarity calculation are compared. Book recommendation of each student has been generated by using existing borrowing records with time stamp.