Research on personalized recommendation system in E-learning

Author

Shan, Rong ; Ren, Zhibin

Author_Institution

Dept. of Comput. Sci., Weinan Teachers Univ., Weinan, China

Volume

4

fYear

2010

fDate

22-24 June 2010

Abstract

With the information explosion in the internet,web personalization becomes more and more important on the web.The paper designs a Browsing Behavior Personalized Information Recommendation System(BBIRS). A recommendation strategy puted forward in BBIRS,whitch through mine the web logs and interactive data by offline and online separately,and the user´s intersting degree on the page been caculated by its browsing speed. The system uses two recommendation algorithms according the different intersting degree.

Keywords

Internet; Web sites; computer aided instruction; data mining; information retrieval; recommender systems; Internet; Web log; Web mining; browsing behavior personalized information recommendation system; e-learning; interactive data; recommendation algorithm; Computer science; Computer science education; Educational technology; Electronic learning; Explosions; Internet; Knowledge management; Management training; Paper technology; System testing; E-learning; personalized recommendation; recommendation model; web mining;

fLanguage

English

Publisher

ieee

Conference_Titel

Education Technology and Computer (ICETC), 2010 2nd International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-6367-1

Type

conf

DOI

10.1109/ICETC.2010.5529705

Filename

5529705