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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: International Journal of Computational Science and Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.