大数据环境下科技查新用户深层次精准服务推荐构想  

Concept of Deep-level and Precise Service Recommendation for Users of Sci-tech Novelty Retrieval in the Environment of Big Data

作　　者：梅梅[1] 唐小利[1] 张玢[1] 王超[1] 

机构地区：[1]中国医学科学院医学信息研究所/图书馆,北京100005

出　　处：《医学信息学杂志》2016年第6期78-82,共5页Journal of Medical Informatics

基　　金：国家科技图书文献中心委托专项任务(项目编号:2014XM052;2014XM056)

摘　　要：通过科技查新工作数据和互联网数据的结合,进行查新用户的潜在需求、兴趣动向、偏好习惯的精准分析,从大数据技术方面分析对于海量用户数据设计有针对性的深层次服务的可行性,提出基于科技查新用户开展深层次精准服务推荐的框架和方法,探讨为科技查新用户提供深层次精准服务的机遇和挑战。By integrating data of sci -tech novelty retrieaval and internet data, the paper makes a precise analysis of the potential demands, interest, interest, tendency, preferences and habits of users of novelty retrieval. From the perspective of big data technology, it analyzes the feasibility of designing targeted and deep - level services for mass user data, puts forward the framework and method of conducting deep - level and precise service recommendation based on users of sci - teeh novelty retrieval, and studies the opportunity to provide these users with deep -level and precise services.

关 键 词：科技查新 大数据 精准服务 

分 类 号：G252.62[文化科学—图书馆学]