一种基于本体和位置感知的图书馆书籍推荐模型  

An Ontology-based and Location-aware Book Recommendation Model in Library

作　　者：李胜[1] 王叶茂[1] 

机构地区：[1]中南财经政法大学信息与安全工程学院,武汉430074

出　　处：《现代图书情报技术》2015年第3期58-66,共9页New Technology of Library and Information Service

摘　　要：【目的】改善图书馆的推荐服务,帮助用户选择感兴趣的书籍资源。【方法】结合Wi-Fi室内定位技术,提出一种基于本体和具有位置感知的图书馆书籍推荐模型。通过构建书籍分类本体,结合用户偏好和区域组偏好,在考虑推荐处理触发机制问题下进行推荐。【结果】与现有综合本体和协同过滤方法相比,提出的模型在推荐精度和相关度上分别提高13.56%和21.79%,相比单纯基于内容过滤的方法,推荐结果的集合多样性提高48.03%。【局限】未讨论推荐模型中个人书籍偏好和区域组偏好的权重。【结论】本研究有利于改善图书馆的推荐服务,提供位置相关的个性化书籍推荐。[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.

关 键 词：本体 基于位置的书籍推荐 组模型 图书馆构建 

分 类 号：TP391.3[自动化与计算机技术—计算机应用技术]