融合心理偏好标签的高校图书馆用户画像构建实证研究  

An Empirical Study on the Construction of University Library User Portrait Integrated with Psychological Preference Labels

作　　者：王素娜 吴锦辉 Wang Suna;Wu Jinhui(Minnan Normal University Library,Zhangzhou Fujian 363000)

机构地区：[1]闽南师范大学图书馆,福建漳州363000

出　　处：《情报探索》2024年第6期93-101,共9页Information Research

基　　金：教育部人文社科基金项目“基于用户画像的高校图书馆精准服务模式构建及实证研究”(项目编号:20YJC870002)成果之一。

摘　　要：[目的/意义]汇聚心理偏好标签的用户画像标签体系,可以有效提升高校图书馆开展用户个性化服务的精准化程度。[方法/过程]通过融入问卷调研获取心理偏好满意度,基于用户服务场景与用户属性、用户行为等标签共同汇聚刻画高校图书馆用户画像的新特征,采用随机森林算法进行用户画像识别的模型训练。[结果/结论]实证分析结果表明,模型预测准确率为99.6%,高校图书馆可依据服务满意度重要影响因素提出优化服务配置、匹配用户特征、建立反馈机制等服务营销策略,以期有效支撑高校图书馆激活数据要素赋能业务创新发展。[Purpose/significance]The user portrait label system that aggregates psychological preference labels can effectively improve the accuracy of user personalized services in university library.[Method/process]This paper obtains psychological preference satisfaction by integrating questionnaire survey,describes the new characteristics of university library user portrait based on user service scenarios,user attributes,user behaviors and other tags,and uses the random forest algorithm to train the model of user portrait recognition.[Result/conclusion]The empirical analysis results show that the prediction accuracy of the model is 99.6%,and university library can propose service marketing strategies such as optimizing service configuration,matching user characteristics and establishing feedback mechanism according to the important factors affecting service satisfaction,so as to effectively support university library to activate data elements to enable business innovation and development.

关 键 词：用户画像 精准服务 随机森林 高校图书馆 

分 类 号：G252[文化科学—图书馆学]