The Research of the Personalization
Xueping Peng, Zhendong Niu · Web Intelligence · 2007
This paper presents a personalization recommendation model to recommend potentially interesting resources to users based on the preference characteristics of users. This model consists of two algorithms: a building algorithm of user model and a recommending algorithm of resource. The first algorithm aims to build the user model, according to searched keywords and behaviors of users. Founded on the model, ordered resources are recommend to users by the second algorithm.