An Improved PageRank Method based on Genetic Algorithm for Web Search

被引：8
|
作者：
Yan, Lili [2 ]
Gui, Zhanji [2 ]
Du, Wencai [1 ]
Guo, Qingju [2 ]
机构：
[1] Hainan Univ, Coll Informat Sci & Technol, Haikou 570228, Peoples R China
[2] Hainan Coll Software Technol, Dept Software Engn, Qinghai 571400, Peoples R China
来源：
CEIS 2011 | 2011年 / 15卷
基金：
中国国家自然科学基金;
关键词：
Web search; relevance ranking; ageRank; hypertext induced topic search;
D O I：
10.1016/j.proeng.2011.08.561
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Web search engine has become a very important tool for finding information efficiently from the massive Web data. Based on PageRank algorithm, a genetic PageRank algorithm (GPRA) is proposed. With the condition of preserving PageRank algorithm advantages, GPRA takes advantage of genetic algorithm so as to solve web search. Experimental results have shown that GPRA is superior to PageRank algorithm and genetic algorithm on performance. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of [CEIS 2011]
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页数：5
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