1. National Science Library, Chinese Academy of Sciences, Beijing 100190, China;
2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China
Based on the personas of user modeling in human-computer interaction design, through the analysis of user behavior logs in institutional repository, the authors use K-means clustering method to identify user behavior patterns, classify users group, and create personas-feature matrix quantitative models for institutional repository.
孙敏杰, 吴振新. 基于用户行为聚类的人物角色量化模型创建实证研究[J]. 现代图书情报技术, 2010, 26(12): 15-20.
Sun Minjie, Wu Zhenxin. User Behavior Clustering for Creation of Personas. New Technology of Library and Information Service, 2010, 26(12): 15-20.
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