基于强化学习模型的科技文献数据库用户学习行为研究  

Study on the Learning Behavior of Science and Technology User for Academic Database Website Based on Reinforcement Models

作　　者：白晨[1] 甘利人[1] 

机构地区：[1]南京理工大学经济管理学院,南京210094

出　　处：《现代图书情报技术》2009年第7期85-92,共8页New Technology of Library and Information Service

基　　金：国家自然科学基金"数据库网站用户信息搜索中的学习行为研究"(项目编号:70773054);江苏省研究生创新培养工程"基于数据库用户搜索行为的学习模型和实验研究"(项目编号:CX08B_203Z);南京理工大学博士创新基金"基于科技数据库网站用户信息搜索行为的学习模型和实验研究"的研究成果之一

摘　　要：将心理学、经济学中研究的强化学习模型应用于科技用户对检索方法学习的行为研究中,介绍两个经典强化学习模型Bush-Mosteller模型和Brgers-Sarin模型;对科技用户信息检索过程中强化学习机理进行剖析,并设计实验室控制实验以运用学习模型对用户的学习行为进行量化分析。实验结果表明:强化学习可以成功反映科技用户对数据库检索方法的学习过程,且Brgers-Sarin模型能更好地拟合科技用户行为;最后针对数据分析结果对数据库的建设提出策略建议。This paper applies the reinforcement learning models which put psychology and economics into studying science and technology user learning behavior of information searching methods. Firstly, two traditional reinforcement learning models of Bush-Mosteller model and B6rgers-Sarin model are introduced. Then, based on analysis of the reinforcement learning mechanism, control experiment is designed to explore user learning behavior through quality study. The experiment result indicates that reinforcement learning could successfully reflect the process of user learning and Borgers-Sarin model has got better fitting and forecasting effect. Finally, based on the experiment result, this paper provides some customer strategies for academic database website.

关 键 词：科技用户 检索方法 强化学习模型 

分 类 号：G354[文化科学—情报学]