DocumentCode
3285575
Title
Recommendation of Online Tasks Based on Witkey Mode Website
Author
Songhe, Jin ; Baowei, Song ; Lei, He
Author_Institution
Sch. of Comput. & Commun. Eng., Zhengzhou Univ. of Light Ind. (ZZULI), Zhengzhou, China
Volume
3
fYear
2009
fDate
15-17 May 2009
Firstpage
268
Lastpage
270
Abstract
With the rapid development of witkey Website, the amount of witkeys and tasks on the witkey sites is increasing far more quickly than our ability to process it. It is a critical problem needs to be solved for us to accomplish witkeys and tasks rapid matching. To resolve this problem, an available way is the recommender system. This paper analyzes the witkey behaviors on the websites and constructs the witkey preference model. Then the collaborative filtering technique is used to recommend online tasks.
Keywords
Web sites; information filtering; collaborative filtering technique; online tasks recommendation; recommender system; witkey mode Website; Application software; Filtering algorithms; Helium; Information filtering; Information filters; Information technology; Internet; Online Communities/Technical Collaboration; Predictive models; Recommender systems; Collaborative filtering; Recommender system; Witkey mode;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology and Applications, 2009. IFITA '09. International Forum on
Conference_Location
Chengdu
Print_ISBN
978-0-7695-3600-2
Type
conf
DOI
10.1109/IFITA.2009.117
Filename
5232111
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