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
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;
Conference_Titel :
Information Technology and Applications, 2009. IFITA '09. International Forum on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3600-2
DOI :
10.1109/IFITA.2009.117
