计算机科学 ›› 2012, Vol. 39 ›› Issue (11): 145-148.

• 数据库与数据挖掘 • 上一篇    下一篇

一种基于Apriori的搜索建议关键字提取算法

奚婷 杨燕   

  1. (西南交通大学信息科学与技术学院 成都 610031)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Algorithm to Extract Search Suggested Keyword Based on Apriori

  • Online:2018-11-16 Published:2018-11-16

摘要: 随着因特网技术的飞速发展,人们开始频繁地利用网络寻找、获取所需的资源,而传统的搜索引擎返回的结 果数量庞大且呈线性排列,用户很难在短时间内找到所需的资源。文本聚类具有较强的灵活性和自动处理能力,成为 解决问题的重要手段。以Ling。算法为主要研究对象,针对Lingo聚类算法提取标签时无法提取多个句子中标签的 问题,引进Apriori算法来寻找主题,并将其作为搜索建议关键字,来较好地解决这个问题。

关键词: 搜索引擎,Lingo, Apriori,建议关键字

Abstract: With the rapid development of Internet, users make use of network to achieve the resources frequently. But search engines return a big and linear list which is uncomfortable for users to use. Next clustering which is flexible and automatic has become one important measure to solve the problem This paper used a kind of clustering algorithm named Lingo as major object And aiming at a problem in Lingo algorithm that the label can't belong to more then one sentence, the paper employed Apriori algorithm to find label as search suggested keyword to make up the problem

Key words: Search engine, Lingo, Apriori, Suggested keyword

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