[Objective] Improve the library recommendation service and help readers select interested books. [Methods] This paper proposes an Ontology-based and location-aware book recommendation model in library by applying Wi-Fi indoor positioning technology, which constructs user's profile based on the books classification Ontology, and then recommends books by combining regional group profile and considering the problem of when to make a recommendation. [Results] The proposed method outperforms the existing Ontology-based hybrid recommenddation method in accuracy and correlation by 13.6% and 21.8% respectively, and shows 48.03% increase in the set diversity compared with the content-based filtering method. [Limitations] The weights of user preferences and regional group preferences in the recommendation model are not discussed. [Conclusions] This research can improve the library recommendation service and provide location-aware personalized book recommendation.
李胜, 王叶茂. 一种基于本体和位置感知的图书馆书籍推荐模型[J]. 现代图书情报技术, 2015, 31(3): 58-66.
Li Sheng, Wang Yemao. An Ontology-based and Location-aware Book Recommendation Model in Library. New Technology of Library and Information Service, DOI：10.11925/infotech.1003-3513.2015.03.08.
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