NDLI: Generation of Web Knowledge Flow for Personalized Services

Content Provider	IEEE Xplore Digital Library
Author	Jie Yu Xiangfeng Luo Feiyue Ye Yongmei Lei
Copyright Year	2009
Abstract	Personalized services provide specific services to satisfy user’s real-time requirements. How to effectively discover and organize proper Web resources is a key issue. Based on Web Knowledge Flow which is used to semantically organize and represent Web resources that are recommended to user, this paper presents a 3-way strategy of finding proper resources for a user in multi-user environment. With this strategy, generation of Web Knowledge Flow can be accomplished based on collaborative user and Semantics Link Network. First, according to the similarity degree between active user and collaborative user, collaborative user is refined to strict kind and loose kind. Secondly, user’s browsing sequence of Web resources is presented to find collaborative users and implemented in a 3-D coordinate space. Thirdly, average information entropy of semantic relationship between Web resources is presented to evaluate the similarity of users’ browsing feature. The experimental results demonstrate the validity of the method. It can be seen that the proposed method has a brilliant perspective in the applications of Web personalized services.
Starting Page	623
Ending Page	628
File Size	965497
Page Count	6
File Format	PDF
ISBN	9780769537474
DOI	10.1109/ISPA.2009.41
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	information entropy Filtering personalized services Ontologies Information entropy Distributed computing Concurrent computing Distributed processing web knowledge flow semantics relationship Collaboration collaborative user Grid computing Mesh generation Qualifications
Content Type	Text
Resource Type	Article

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