收稿日期: 2016-06-27
修回日期: 2016-11-28
网络出版日期: 2017-01-05
Deep Mining and Explore of User Intelligence Demand under the Environment of the Intention Economy
Received date: 2016-06-27
Revised date: 2016-11-28
Online published: 2017-01-05
[目的/意义] 意愿经济是随着互联网和大数据技术发展而形成的一种围绕用户意愿并以需求为导向的新经济模式。在这种经济行为模式下，对用户情报需求进行深度挖掘研究，对提升情报服务能力具有重要意义。[方法/过程] 以意愿环境下情报服务的变革为切入点，通过建立用户需求分析模型UDAM，对情报服务平台新老用户的情报需求进行描述，并应用文本特征向量的分析方法，对与用户相关的文本进行机器学习，深度挖掘出关键词及用户情报需求的兴趣变化，深入挖掘并动态追踪、锁定情报用户的情报需求。[结果/结论] 在意愿经济的思维模式下，以满足用户个性化情报需求为宗旨，对用户进行有针对性的情报推送服务是未来情报服务发展的必然趋势。
刘如 , 李梦辉 , 张惠娜 , 黄裕荣 , 周京艳 . 意愿经济环境下用户情报需求的深度挖掘与探索[J]. 图书情报工作, 2017 , 61(1) : 14 -24 . DOI: 10.13266/j.issn.0252-3116.2017.01.002
[Purpose/significance] The intention economy is a kind of new economic pattern which is formed around the users' intention and demand-oriented with the development of Internet and big data technology.In this mode of economic behavior, the research on deepmining of user intelligence demandis of great significance to enhance the intelligence service.[Method/process] This paper takes intelligence service revolution under the environment of intention economy as the breakthrough point,andputs forward the research of user intelligence demand. Itbuilds the UDAM (User Demand Analysis Model) to describeintelligencedemand of new and old users on the intelligence service platform. It uses the text feature vector analysis method to learn intelligence reports, which users bought from intelligence service platform. The key words and user's interests changing of intelligence demand in time are found out, anduser's intelligence demandaredeeplymined and dynamiclyscouted.[Result/conclusion] Under the thinking patterns of intention economy, supplying intelligence initiative push service to users, which can meet user demand for the purpose of personalized, is the inevitable trend of future intelligence service development.
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