%A Li Sheng, Wang Yemao %T An Ontology-based and Location-aware Book Recommendation Model in Library %0 Journal Article %D 2015 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.1003-3513.2015.03.08 %P 58-66 %V 31 %N 3 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_4028.shtml} %8 2015-03-25 %X

[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.