DocumentCode
2731680
Title
The Research of the Personalization
Author
Peng, Xueping ; Niu, Zhendong
Author_Institution
Beijing Inst. of Technol., Beijing
fYear
2007
fDate
5-12 Nov. 2007
Firstpage
107
Lastpage
110
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/WI-IATW.2007.65
Filename
4427551
Link To Document