摘要
读者荐购是高校图书馆文献资源建设的重要方式,针对当前读者荐购中存在的问题,构建新型的读者荐购系统。以汇文系统为例,分析其现有的荐购功能和不足之处,探讨了基于Web2.0技术的荐购体系设计思路,构建一个面向用户的读者荐购体系框架,并从四个方面进行了优化:荐购资源库整合、发现系统或OPAC无缝链接、多类型资源推荐和新增荐购指南。
Reader recommendation is an important way to construct the literature resources of university library. This paper establishes a new recommendation system for the current issues of reader recommendation. This paper analyzes its functions and existing problems of Huiwen system, then explores the design ideas of recommendation system based on Web2. 0 technology, constructs an object-based recommendation framework. Four aspects have been optimized ： integrating recommendation resources, the seamless linking with discovery system or OPAC, multi-type resources recommendation and new recommendation guideline.
出处
《大学图书情报学刊》
2017年第4期106-109,共4页
Journal of Academic Library and Information Science
关键词
读者荐购
汇文系统
荐购系统
高校图书馆
reader recommendation
Huiwen system
recommendation system
university library
