DocumentCode :
2301636
Title :
Personalized Recommendation Algorithm Based on Task Features and Witkey Behaviors
Author :
Jin, Songhe ; Chen, Qingnan
Author_Institution :
Sch. of Comput. & Commun. Eng., Zhengzhou Univ. of Light Ind., Zhengzhou, China
Volume :
3
fYear :
2010
fDate :
6-7 March 2010
Firstpage :
80
Lastpage :
83
Abstract :
With the rapid development of witkey websites, the amount of witkeys and tasks on the witkey sites as well as has risen sharply, how to accomplish witkeys and tasks rapid matching becomes a critical issue faced by most witkey websites. To resolve this problem, this paper analyzes the online tasks and the witkey behaviors on the websites in detail and addresses the concept of preference order. Then, the online tasks model and the witkey preferences model are constructed based on vector space. Finally, the online tasks are recommended to the witkeys according to the similarity between the online task vector and the witkey preferences vector.
Keywords :
Internet; Web sites; information services; knowledge management; task analysis; Witkey behaviors; online tasks; personalized recommendation algorithm; preference order; task features; vector space; websites; witkey preference model; Aerospace industry; Communication industry; Computer industry; Computer science; Computer science education; Educational technology; Internet; Knowledge management; Recommender systems; Search engines; online task; personalized recommendation; vector space mode; witkey;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Education Technology and Computer Science (ETCS), 2010 Second International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6388-6
Electronic_ISBN :
978-1-4244-6389-3
Type :
conf
DOI :
10.1109/ETCS.2010.224
Filename :
5459939
Link To Document :
بازگشت