Book recommendation system for utilisation of library services Online publication date: Fri, 24-Dec-2010
by Takanori Kuroiwa, Subhash Bhalla
International Journal of Computational Science and Engineering (IJCSE), Vol. 5, No. 3/4, 2010
Abstract: In addition to using the many conventional approaches for making recommendation systems, this paper proposes a complementary recommendation methodology. It is focused on book recommendation. It proposes to make a comprehensive data repository of existing books, available at the level of the user (in a library or a personal bookshelf). Further, by retrieving web reviews of available books and new books by using existing web services, an infrastructure has been developed for need-based book recommendation system. Implementation results show that our book recommendation allows a user to eliminate irrelevant books and presents the desired books to the user from given book set. The proposed book recommender is one of the first systems in terms of focusing on meeting individuals' needs rather than calculating similarity or preferences automatically, which is adopted by the traditional recommender system.
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