面向高校图书馆精准知识服务的用户画像建构

Construction of User Portrait for Accurate Knowledge Service of University Library

目的 利用用户画像技术,优化高校图书馆精准知识服务模式。方法 精准采集用户基本信息、行为日志数据、科研成果数据、社交网络数据,构建数据来源层、数据预处理层、数据标签建模层、用户画像生成层的有机整体,从服务对象角度,提供高效及时的知识资源服务。结果 通过构建精准的用户画像,高校图书馆能够依据个体用户、群体用户的不同需求开展最优资源配置、实现最佳服务推送,充分发挥高校图书馆资源优势,助力学科发展。结论 用户画像技术是高校图书馆了解读者潜在需求,实现个性化知识服务的有效路径。

Objective To optimize the accurate knowledge service mode of university library by using user portrait technology. Methods Accurately collect users’ basic information, behavior log data, scientific research achievement data and social network data, build an organic whole of data source layer, data preprocessing layer, data label modeling layer and user portrait generation layer, and provide efficient knowledge resource services from the perspective of service objects. Results By constructing accurate user portraits, university libraries can carry out the optimal resource allocation and realize the best service push according to the different needs of individual users and group users. Conclusion User portrait technology is an effective way for university libraries to understand the potential needs of readers and realize personalized knowledge service.