Abstract

Recommender system has the ability to capture users’ interest and provide interested recommendations. This makes it easier to be applied in books recommendations domain in order to provide books of interest to student. In this study, the existing system studied fails to generate books recommendations based on user category interest which lead to uninterested recommendations. In this paper, an improved electronic books recommender system is proposed that recommends books to students. The system incorporate a mechanism to generate recommendations to student based on the previous books ratings and readings. It then enables recommendations of books based on categories since students may be interested in the books of the same category related to their respective courses of study. This makes it possible for the system to recommend customised books to the students based on their interests. The experimental evaluation conducted indicated that, the proposed system results demonstrated that, most of the students of the selected domain are averagely satisfied with the functionalities of the proposed system.