DocumentCode :
2904838
Title :
A Knowledge Recommendation Algorithm Based on Content Syndication
Author :
Zhao, Wenzhao ; Wang, Jun ; Liu, Guannan
Author_Institution :
Dept. of Inf. Syst., Beihang Univ., Beijing, China
fYear :
2009
fDate :
24-26 Nov. 2009
Firstpage :
742
Lastpage :
745
Abstract :
Effective knowledge sharing and its fast spread play an important role in realizing knowledge management in an organization. The deficiency of existing knowledge sharing technological measures restrict the spread of knowledge and its efficiency, thus users have to spend large amount of time to search all kinds of knowledge they need. This study proposes a knowledge recommendation algorithm to improve the efficiency and accuracy of finding and locating knowledge source through search engine. We first define a content syndication based knowledge sharing network, and then we propose a knowledge recommendation algorithm based on content syndication in knowledge sharing network. This algorithm combines the relationship between users with their search history to carry out knowledge recommendation and has both theoretical and practical value.
Keywords :
knowledge management; recommender systems; search engines; content syndication; knowledge management; knowledge recommendation algorithm; knowledge sharing; search engine; Collaboration; History; Information filtering; Information filters; Information technology; Knowledge management; Management information systems; Search engines; Social network services; Time measurement; Algorithm of Knowledge Recommendation; Content Syndication; Knowledge Sharing; Relationship; Social Network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Sciences and Convergence Information Technology, 2009. ICCIT '09. Fourth International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-5244-6
Electronic_ISBN :
978-0-7695-3896-9
Type :
conf
DOI :
10.1109/ICCIT.2009.153
Filename :
5368718
Link To Document :
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