DocumentCode :
3345538
Title :
Research and Implementation of Fast Locating Algorithm in Intelligent QA System
Author :
Zhao, Ming
Author_Institution :
Sch. of Comput. Sci., Yangzte Univ., Jingzhou, China
fYear :
2009
fDate :
14-17 Oct. 2009
Firstpage :
705
Lastpage :
709
Abstract :
With the development of network technology, E-Learning, becomes more popular, most learners want to get a right answer quickly in order, to meet the need of learners, in this paper, firstly we construct a simple index structure based on the contents of chapters and sections according to the characteristic oft E-learning, secondly, we propose a group of quick location algorithms according to the index structure, including Simple vector distance classification algorithm, Bayesian algorithm, KNN (K nearest neighbor) algorithm etc, Test results show that the algorithm can reduce the searching time about 50%, thus remarkably increase the match speed of problem and answer.
Keywords :
Bayes methods; intelligent tutoring systems; pattern classification; Bayesian algorithm; E-learning; K nearest neighbor algorithm; fast locating algorithm; intelligent QA system; network technology; quick location algorithm; simple index structure; simple vector distance classification; Bayesian methods; Classification algorithms; Computer science; Data structures; Genetics; Intelligent systems; Natural languages; Nearest neighbor searches; Sections; Testing; intelligent question answering system; natural language processing; quick location;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-0-7695-3899-0
Type :
conf
DOI :
10.1109/WGEC.2009.30
Filename :
5402808
Link To Document :
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