User attention items recommendation and personalized information service based on “Chinese Sciencepaper Online”

Author

Pang, Huanli ; Qiong ; Liu, Le

Author_Institution

Coll. of Comput. Sci. & Eng., Changchun Univ. of Technol., Changchun, China

Volume

1

fYear

2010

fDate

24-26 Aug. 2010

Firstpage

181

Lastpage

184

Abstract

Personalized information service works for different service mode from users´ different needs, to help users obtain resources information quickly, promptly and effectively. Based on `Chinese Sciencepaper Online´, users give the weights according to each item of attention degree that is concerned. This article introduces the user attention, to show the tendency when the user make the choice. We combine together the tendency with the association rules when defining. It will overcome the combination of association rules of credibility of the disadvantage of low accuracy recommended, so as to provide more accurate user recommended attention.

Keywords

data mining; information resources; Chinese Sciencepaper Online; association rules; attention degree; personalized information service; user attention item recommendation; Prediction algorithms; personalized service; user attention; weighted association;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on

Conference_Location

Changchun

Print_ISBN

978-1-4244-7957-3

Type

conf

DOI

10.1109/CMCE.2010.5610465

Filename

5610465