大数据情境下高校图书馆科研用户画像构建策略研究

Research on the Researcher Profiling Construction Strategy of University Libraries in the Big Data Situation

在大数据情境下,构建高校图书馆科研用户画像以助力科研创新,对于当前国家创新战略的实施具有重要意义。着重分析了当前科研用户画像所面临的标签不全、标签不准以及算力算法不足三大问题的成因,有针对性地研究了基于社交网络方法和知识图谱技术的用户画像标签的构建策略。在此基础上,提出由科研大数据收集与融合、图书馆科研用户画像引擎和用户画像系统应用三个部分构成的高校图书馆科研用户画像构建方案,从而为科研用户画像落地提供了理论支撑。

In the situation of big data,it is significant for the implementation of the national innovation strategy to construct the researcher profiling of university libraries and assist research innovation.The paper analyzes mainly the root causes of the current dilemma of the user profiling of researchers including three problems of tag incompleteness,tag inaccuracy and deficiency of computing power and algorithm,and a construction scheme of researcher profiling of university libraries is put forward which includes three components of research big data collection and fusion,university library researcher profiling engine,and user profiling system application.The scheme can provide theoretical support for the application of researcher profiling.