智能QA系统快速定位算法的研究与实现

Ming Zhao
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引用次数: 0

摘要

随着网络技术的发展,E-Learning越来越流行,大多数学习者都希望快速得到正确的答案。为了满足学习者的需求,本文首先根据E-learning的特点,构建了基于章节内容的简单索引结构,然后根据索引结构提出了一组快速定位算法,包括简单向量距离分类算法、贝叶斯算法、KNN¿K最近邻算法等,实验结果表明,该算法可以减少50%左右的搜索时间。从而显著提高了问题与答案的匹配速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research and Implementation of Fast Locating Algorithm in Intelligent QA System
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.
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