基于本体查询的图书推荐方法研究
发布时间：2019-01-07 10:19
【摘要】：论文从高校图书馆读者借阅记录出发,分析读者的借阅行为,获取读者的阅读偏好值,用于构建读者偏好的本体模型。通过制定本体推理规则,完善已建立的本体模型。通过程序脚本将SPARQL书目查询结果推荐给读者,从而实现图书馆的个性化推荐服务。
[Abstract]:Based on the borrowing records of readers in university libraries, this paper analyzes the readers' borrowing behavior, obtains the readers' reading preference values, and uses it to construct the ontological model of readers' preference. The established ontology model is improved by making ontology inference rules. The result of SPARQL bibliography query is recommended to readers by program script, and the personalized recommendation service of library is realized.
【作者单位】： 上海立信会计金融学院;
【分类号】：G252;G258.6
本文编号：2403546
[Abstract]:Based on the borrowing records of readers in university libraries, this paper analyzes the readers' borrowing behavior, obtains the readers' reading preference values, and uses it to construct the ontological model of readers' preference. The established ontology model is improved by making ontology inference rules. The result of SPARQL bibliography query is recommended to readers by program script, and the personalized recommendation service of library is realized.
【作者单位】： 上海立信会计金融学院;
【分类号】：G252;G258.6
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