Title :
The Research of the Personalization
Author :
Peng, Xueping ; Niu, Zhendong
Author_Institution :
Beijing Inst. of Technol., Beijing
Abstract :
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.
Keywords :
query processing; building algorithm; personalization recommendation model; recommending algorithm; user preference characteristics; user retrieval; Appraisal; Computer science; Conferences; Dictionaries; Information analysis; Information retrieval; Intelligent agent; Search engines; USA Councils; Uniform resource locators;
Conference_Titel :
Web Intelligence and Intelligent Agent Technology Workshops, 2007 IEEE/WIC/ACM International Conferences on
Conference_Location :
Silicon Valley, CA
Print_ISBN :
0-7695-3028-1
DOI :
10.1109/WI-IATW.2007.65
