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
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