Use of Library Loan Records for Book Recommendation
Επιτομή
To show the effectiveness or limitation of
using library loan records for book recommendation,
we implemented the collaborative filtering system
(henceforth LLR system) which is similar to that of
Harada & Masuda (2010) and compared its
performance with Amazon. It was found that LLR
system could not outperform Amazon. Library loan
records contain users' privacy and collaborative
filtering usually requires much computer resources. We
should pay attention to whether LLR system is really
effective enough to worth its cost.