Learning User Profile in the Personalization News Service

摘要

The model for precise description and measurement of user profile was studied through adopting the technology of knowledge discovery from database. The news browsing manner of users was analyzed, while news similarity was computed based on users’ reading style, then the model for user profile was generated by the mining algorithm. The experiments showed that this model worked very well in describing user profile and promoted efficiency of personalized news service system.