基于PageRank的Lucene排序算法优化与实现

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。

Optimization and Implementation of Lucene Ranking Pages Algorithm Based on PageRank

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.