Use of Library Loan Records for Book Recommendation
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
Library loan records, Book recommendation, Collaborative filtering, Amazon, privacy
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