NSTL文献检索系统中相关文献推荐功能的设计及实现

Design and Implementation of Related Document Recommendation in Document Retrieval System of NSTL

针对国家科技图书文献中心文献检索系统,提出关于二次文献的文献相似度计算方法,设计并实现实时相关文献推荐子系统。最后,从理论上提出对推荐结果进行定量评价的指标,并进行效果评测,验证所设计的相关文献推荐子系统能进一步提高NSTL文献检索系统的服务质量。

This paper proposes a new method for calculating similarity between secondary documents of National Science and Technology Library （NSTL） , subsequently develops and implements a subsystem of real - time related documents recommendation. At last, a measurement which can theoretically evaluate the quality of recommendation results is presented. And the experiment results demonstrate that the system can improve the service quality of document retrieval system of NSTL.