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Study for FAQ Processing in Internet Automatic Sales System

机译:互联网自动销售系统常见问题处理研究

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Internet Automatic Sales System is be used to assist people in net business. Since part of the talking continent in purchasing is always asked frequently, so the statistic method like TFIDF is applied to deal this issue. Based on the experiment situation, baseline system based on TFIDF achieved very good effect. But the classic algorithm is not enough to reach real application requirement, the Dice method is introduced here. By using ANN linear regression, the coefficient between TFIDF and Dice has been gotten, and the new sentence similarity calculating algorithm improves the baseline systemȁ9;s performance. This paper just aimed at special field and used limited size of corpora. So FAQ (Frequently Asked Questions) is just one part of sales process QA (Question Answering) and other fields need more analysis and research in the future.
机译:Internet自动销售系统用于协助人们从事网络业务。由于总是会经常询问在购买中会说话的大陆的一部分,因此采用了TFIDF之类的统计方法来解决此问题。根据实验情况,基于TFIDF的基线系统取得了很好的效果。但是经典算法还不足以满足实际应用需求,此处介绍Dice方法。通过使用ANN线性回归,得到了TFIDF和Dice之间的系数,新的句子相似度计算算法提高了基准系统的性能。本文仅针对特定领域,使用了有限的语料库。因此,FAQ(常见问题)只是销售流程质量检查(Question Answering)的一部分,其他领域在将来需要更多的分析和研究。

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