Research on the Construction Method of Academic User Profile Based on User Behavior Data
This paper elaborates a method for constructing academic user profiles based on user behavior data,including labeling user behavior data and labeling user identity according to three dimensions.It collects and clean user behavior data and characteristic information of academic resources accessed by users,constructs vector representations of user interest domains and key words of each interest domain,and constructs an academic user profile based on user account related information.Based on historical behavioral data from three dimensions of user IP,account,and terminal identification,academic user profiles can be constructed by mining and analyzing relevant academic resource characteristic information.The academic user profile based on terminals does not rely on the user account system,providing support for personalized knowledge recommendation services for institutional readers in the future.
user profilepersonalized recommendationknowledge serviceacademic resourceuser behavior
国家科技期刊平台
NSTL
万方数据
