Title :
Research on personalized recommendation system in E-learning
Author :
Shan, Rong ; Ren, Zhibin
Author_Institution :
Dept. of Comput. Sci., Weinan Teachers Univ., Weinan, China
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;
Conference_Titel :
Education Technology and Computer (ICETC), 2010 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-6367-1
DOI :
10.1109/ICETC.2010.5529705
