Analyzing User Behavior History for constructing user profile

Author

Chen Yu ; Yu, Chen ; Zhang Wei ; Shen Junyi

Author_Institution

Beijing Document Service, Beijing

fYear

2008

fDate

12-14 Dec. 2008

Firstpage

343

Lastpage

348

Abstract

User behavior history has been employed to discover userpsilas preferences and interests for personalized systems. In this paper we propose a framework for extracting user interested items by analyzing user behavior history in digital library environment. Firstly, this paper models every userpsilas behaviors as a user behavior forest (UBF). Then user behavior log is formatted with several additional attributes, and we show how to construct UBF from such logs. At last, an algorithm is presented for measuring user interests on items by considering userpsilas behavior sequence, userpsilas behavior type, and the metadata of literature.

Keywords

Internet; data mining; digital libraries; information retrieval; trees (mathematics); user modelling; Web log mining; digital library environment; personalized system; user behavior forest; user browsing behavior history analysis; user modeling; user profile construction; Collaboration; Data mining; History; Information analysis; Interference; Navigation; Pattern analysis; Software libraries; Software systems; Web search;

fLanguage

English

Publisher

ieee

Conference_Titel

IT in Medicine and Education, 2008. ITME 2008. IEEE International Symposium on

Conference_Location

Xiamen

Print_ISBN

978-1-4244-3616-3

Electronic_ISBN

978-1-4244-2511-2

Type

conf

DOI

10.1109/ITME.2008.4743884

Filename

4743884