NDLI: Improvement of Personalized Dynamic Service using Independent Component Analysis

Content Provider	IEEE Xplore Digital Library
Author	Qiang Pu Qi-He Liu Guo-Wei Yang
Copyright Year	2006
Description	Author affiliation: Sch. of Comput. Sci. & Eng., UEST of China, Chengdu (Qiang Pu; Qi-He Liu; Guo-Wei Yang)
Abstract	A system of personalized dynamic service (PDS) in digital library (DL) based on independent component analysis (ICA) was proposed and discussed in detail in order to improve the quality of personalized service to readers. Meanwhile, architectures of general PDS system and the most important subsystem were introduced. The experiments showed that better effects of books' topic classifying and readers' interest clustering could be respectively achieved by employing ICA method, and a dynamic mapping relation that improved the quality of PDS, furthermore, could be adaptively generated along with the changes of readers' personalized interests or books' topics
Sponsorship	IEEE Syst., Man and Cybernetics Hebei Univ.
Starting Page	2611
Ending Page	2616
File Size	342949
Page Count	6
File Format	PDF
ISBN	1424400619
DOI	10.1109/ICMLC.2006.258913
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Independent component analysis Books Samarium Clustering algorithms Machine learning algorithms Computer science Software libraries Computer architecture Text categorization Time factors Text classification Personalized dynamic service
Content Type	Text
Resource Type	Article

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