Status and Development of Books Recommendation in University Libraries via WeChat—— Taking Services in “Double-First Class” University Libraries as Examples

Abstract

[Purpose/Significance] Each library has provided books recommendation service on their WeChat platforms, which forms an important service model. It is of great significance to explore how to build a books recommendation system with both personalization and functionality via WeChat. [Method/Process] By using the online survey method, we follow the WeChat platforms of university libraries listed in the "Double-First Class" project, and investigate the status of books recommendation services. Some mainstream books recommendation systems, such as Imagination Star, Yuntai Buy and Jiangsu Huiwen are studied. [Results/Conclusions] We found that the type of referral resources is still concentrated on paper books, only single book can be posted each time, and the function of the system is poor. In view of the existing problems, suggestions were put forward to recommend integrated paper-electronic resources and bulk books, realize group management, create national or regional bibliographic data centers, publicize services both online and offline, and implement the library credit points system.

Keywords

• university library|wechat platform|paper electrofusion|reader recommendation