Title :
Improvement of Personalized Dynamic Service using Independent Component Analysis
Author :
Pu, Qiang ; Liu, Qi-He ; Yang, Guo-Wei
Author_Institution :
Sch. of Comput. Sci. & Eng., UEST of China, Chengdu
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
Keywords :
classification; digital libraries; independent component analysis; text analysis; books; digital library; independent component analysis; personalized dynamic service; reader interest clustering; topic classification; Books; Clustering algorithms; Computer architecture; Computer science; Cybernetics; Independent component analysis; Machine learning; Machine learning algorithms; Samarium; Software libraries; Text categorization; Time factors; Independent component analysis; Personalized dynamic service; Text classification;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.258913
