大数据背景下高校移动图书馆个性化推荐平台研究——以四川高校图书馆为例

Research on the Individualized Recommendation Platform of University Mobile Library under the Background of Big Data——Taking university libraries in Sichuan as an example

信息时代的不断发展,使如何更高效地为用户提供所需信息成为现代信息服务平台所无法回避的问题。针对用户个性化需求,主动推送有效信息,是其未来重要的发展方向。近些年,图书馆个性化信息服务系统的相关研究与理论不断发展,但在具体实践中,仍存在不足。本次研究以四川高校为对象,结合相关调研结果,提出了关于高校移动图书馆的四种个性化推荐模式的设想。

With the continuous development of the information age, how to more efficiently provide users with necessary information is becoming a problem that any modern information service platform can not avoid. One of its important direction of future development is to push valid information automatically based on user＇s personal need. In recent years, the research and theory of library personalized information service system have been developing continuously. But in practice, there are still some shortcomings. Based on the research results of various colleges and universities in Sichuan, this study puts forward the idea of four kinds of individualized recommendation models of mobile library in colleges and universities.