Abstract—This paper suggests a mobile-based book recommendation method utilizing a book management application. It will help smart phones to recognize Barcodes and QR codes and collect information on books through the open APIs. Such information is divided into that of books already purchased and that of the books the user would like to buy. This divided information is stored in an application, while the server measures the similarity among users in terms of their information stored in the database created. Then, if it is found that users with similar preferences do not have certain books, recommendations for the books will be made through push notification; the users receiving the recommendations get the book details directly from the server. To evaluate the performance of the proposed method, 300 users were selected as subjects and the success rate was 85%. Therefore, the proposed method will be useful in a mobile-based recommendation system.
Index Terms—Smartphone, book management application, QR code, recommendation method.
M. B. Chung is with the Division of Computer Engineering, Sungkyul University, South Korea (e-mail: nzin@sungkyul.ac.kr).
Cite: M. B. Chung, "Active Recommendation Method Based Mobile Network Using Book Management Application," International Journal of Machine Learning and Computing vol. 9, no. 2, pp. 213-221, 2019.