• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2012, Vol. 34 ›› Issue (10): 123-127.

• 论文 • 上一篇    下一篇

基于PageRank的Lucene排序算法优化与实现

陈建峡,黄 日,马忠宝   

  1. (湖北工业大学计算机学院,湖北 武汉 430068)
  • 收稿日期:2012-04-25 修回日期:2012-07-10 出版日期:2012-10-25 发布日期:2012-10-25
  • 基金资助:

    国家自然科学基金资助项目(61075059);湖北工业大学校教研项目资助(2011006)

Optimization and Implementation of Lucene Ranking Pages Algorithm Based on PageRank

CHEN Jianxia,HUANG Ri,MA Zhongbao   

  1. (School of Computer Science,Hubei University of Technology,Wuhan 430068,China)
  • Received:2012-04-25 Revised:2012-07-10 Online:2012-10-25 Published:2012-10-25

摘要:

随着Web技术的迅速发展,提供个性化服务的搜索引擎技术受到用户的广泛关注,网页排序是其中的关键技术之一。本文利用PageRank 算法对原有的Lucene网页排序进行了改进,设计并实现了关于手机信息搜索的个性化搜索引擎。实验结果证明,改进后的排序算法能够较好地提高信息检索的准确度,为用户带来了优于Lucene自身排序的搜索体验。

关键词: Lucene, PageRank, 个性化搜索引擎, 排序优化

Abstract:

With the rapid development of web technologies,the search engine based on personalized services becomes more and more important in the society.In particular, the algorithm of ranking pages is one of the critical technologies in the area of search engines.The paper proposes an approach to improve the original ranking algorithm of Lucene via the PageRank algorithm,and designs and implements a personalized search engine on mobile information.Experimental results show that the proposed sorting algorithm can improve the accuracy of the information retrieval,and users can obtain better search experience than original sorting of Lucene.

Key words: Lucene;PageRank;personalized search engine;sorting optimization