基于图书出版行业大数据的选题决策分析模型研究

Research on Topic Selection Decision-making Analysis Model for Big Data in Publishing Industry

情报研究工作的本质是解决管理决策过程中信息不完备问题,通过情报工作将情报产品用于行业的管理决策过程中是情报工作的应用场景之一。我国的图书出版行业已进入大数据时代的行业发展阶段,传统的国内图书出版行业的生产和出版等管理决策面临挑战。图书出版业各产业链下不同类型的数据既具备大数据的特点,也具有突出的行业特色。目前,国内针对海量、多类型和多来源的图书出版数据,进行数据分析模型构建研究工作比较匮乏。本文以图书出版行业管理决策过程为例,运用情报分析的方法,依据图书出版行业实际数据现状,提出可应用的选题决策分析模型,提出并构建图书出版选题决策模型的指标评价体系,并应用真实的图书出版数据进行了相关实验分析工作。实验结果表明,本文提出的数据模型具有一定的可应用性,为下一步新闻出版大数据的情报分析平台建设奠定了研究基础。

The essence of intelligence studies is to solve the problem of incomplete information in the process of management decisions. One application area is the application of intelligence products to the process of management decision making. The publishing industry has entered the era of big data, which has greatly affected the traditional publishing industry in China. The various data in industrial chains of publishing have both the characteritics of big data and the outstanding characteristics of the industry. At present, there is little related research in China. Because of this, the decision-making process of publishing management was taken as an example. The method of intelligence analysis and actual data from the publishing industry were used to carry out the research. An applicable analysis model was proposed, and the index evaluation system of topic selection was constructed. Actual data were used to carry out related experiments and analysis. The experimental results showed that the proposed data model was practical, laying the foundation for the construction of the big data platform in the future.