基于数据挖掘的阅读推广探索——以“电子科技大学最受学生欢迎的二十本图书”调查推广为例

Exploration of Campus Reading Promotion Based On Data Mining

阅读推广中,推荐和导读是极其重要的环节,如何更好地利用大数据中的有效信息服务于阅读推广是值得探究的课题。本文以"电子科技大学最受学生欢迎的二十本图书"调查推广为例,逐步梳理调查数据,深度挖掘相关数据信息,探索"数据挖掘+优秀读本导读+阅读资源无缝对接读者需求"的阅读推广新模式。

Recommendation and guidance play an important part in reading promotion.It is a worthwhile project to study how to make better use of the useful information in big data to promote reading. The paper explores how to build a new reading promotion model of ＂data mining ＋ reading guidance ＋ resources connect readers seamlessly＂, based on the investigation of ＂Top Twenty Books Most Popular with the Students in University of Electronic Science and Technology of China （UESTC）＂.