基于用户画像的数字图书馆精准推荐服务体系构建研究

Research on Digital Library Precision Recommendation Service Innovation Based on User Portrait Analysis

[目的/意义]缓解精准推荐服务存在的供需矛盾,实现数字图书馆供给侧服务创新。[方法/过程]首先将用户画像置于数字图书馆特定领域中,解读用户画像的需求和功能,并作为数字图书馆精准推荐服务体系构建的基础。其次根据大数据时代创新的"四化"要求,结合体系的组成要素,从数据模块、推荐模块和用户模块对数字图书馆精准推荐服务体系进行层级建构。[结论/结果]在积累用户数据-挖掘用户数据-分析用户数据-利用用户数据层层递进中实现数字图书馆的精准推荐服务体系的创新。

[Purpose/significance]Alleviate the contradiction between supply and demand of accurate recommendation service,and realize the service innovation of supply side of digital library.[Method/process]Put user portrait into the field of digital library,interpret user portraits from two aspects of requirements and functions,which are the basis for the construction of digital library precision recommendation service system.According to the requirements of the innovation under the big data era,combined with the elements of innovation system,from the data module,recommendation module and user module to hierarchical deconstruction and analysis the innovation system of the digital library accurate recommendation service.[Result/conclusion]In the process of accumulating user data-mining user data-analyzing user data-making use of user data layer by layer,precise recommendation service innovation of digital library is realized.