结合物联网和室内定位的手机图书馆推荐系统

 为利用物联网和室内定位等新技术的优势，并充分利用图书馆的特点，设计开发了结合物联网和室内定位的手机图书馆推荐系统。借助物联网中的近场通信（NFC）搜集了系统数据；利用Mahout和Redis实现了基于物品的协同过滤推荐和基于热点的推荐，并将2种推荐的结果混合推荐计算得到推荐图书列表；利用位置指纹定位法得到读者的实时位置，以此向读者推送推荐结果，同时根据用户的反馈优化推荐结果。通过这些优化和改进，可使图书馆更好地为读者服务。

A mobile library recommendation system based on Internet of Things and indoor location

In order to take the advantages of new technology such as the Internet of Things and the indoor location, and make full use of the characteristics of library, a mobile library recommendation system is designed and developed. System data is collected by using the NFC in the Internet of Things. Then, the item-based collaborative filtering recommendation and the hot recommendation, which respectively use Mahout and Redis, are mixed and weighted to get a list of recommended books. The position of the reader is obtained by the position fingerprint location method. Accordingly, a mixed recommendation result is presented to the reader. At the same time reader's feedback is designed to optimize the recommendation, therefore, the recommendation system can better serve the reader.