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.
YE Xiaorong
,
SHAO Qing
. A mobile library recommendation system based on Internet of Things and indoor location[J]. Science & Technology Review, 2016
, 34(23)
: 127
-136
.
DOI: 10.3981/j.issn.1000-7857.2016.23.014
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