图书馆阅读推广活动中精准化推送服务的应用研究

Research on Application of the Precision Push Service in the Library's Reading Promotion

高校图书馆作为阅读推广的主体,应探索和利用大数据挖掘技术,发现海量图书借阅记录中隐含的关联图书规则及借阅量大的热门书目,并发挥读者的主观意愿,以阅读需求为驱动,使之主动参与构建基于关联图书和热门图书推荐导读的阅读推广服务平台,实现图书的精准化阅读推送,从而在图书馆传统服务的基础上提升文献精准服务能力,满足用户的个性化阅读需求,提升图书馆阅读推广工作实效。

Being as the main body of reading promotion, university library should explore and make use of big data mining technology to find out the implicit rules of related books in the records of massive books borrowing and in the popular books with large circulation, give play to the reader’s subjective will, and make the readers actively participate in the construction of reading promotion service platform based on related books and popular books recommendation & reading guidance driven by the reading demand, and achieve accurate push service in reading promotion, and therefore the accurate service ability based on the traditional service of the library can be strengthened to meet the personalized reading needs of users and to enhance the effectiveness of library’s reading promotion.