Ranking algorithms based on segmentation and purification for search engine

Computer Engineering and Applications ›› 2012, Vol. 48 ›› Issue (1): 173-175.

• 数据库、信号与信息处理 • Previous Articles Next Articles

Ranking algorithms based on segmentation and purification for search engine

JIANG Chujiang1, YU Yijun2

1.The Lead Information Center of Zhejiang Province, Hangzhou 310025, China
2.Bureau of State Taxation of Zhejiang Province, Hangzhou 310006, China

Received:1900-01-01 Revised:1900-01-01 Online:2012-01-01 Published:2012-01-01

基于分块和净化的搜索引擎排序算法

姜楚江1，余轶军2

1.浙江省行政首脑机关信息中心，杭州 310025
2.浙江省国税局，杭州 310006

Abstract

Abstract: The intelligent ranking algorithm is researched. The definition and computation are presented for Web page quality and extended Web page quality. A new intelligent ranking algorithm is proposed and improved by Web page segmentation algorithm VIPS. The results are purified and improved. The experiment shows the recommendation accuracy is improved by new algorithm.

Key words: search engine, ranking algorithm, Web page segmentation, purify

摘要： 展开了对互联网搜索引擎结果集的智能排序研究，提出了一种基于扩展网页质量和VIPS分块算法的智能网页排序算法，并对结果进行净化处理以及查询优化。实验结果表明研究提出的新算法提高了推荐精度。

关键词: 搜索引擎, 排序算法, 网页分块, 净化处理

JIANG Chujiang1, YU Yijun2. Ranking algorithms based on segmentation and purification for search engine[J]. Computer Engineering and Applications, 2012, 48(1): 173-175.

姜楚江1，余轶军2. 基于分块和净化的搜索引擎排序算法[J]. 计算机工程与应用, 2012, 48(1): 173-175.

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Ranking algorithms based on segmentation and purification for search engine

基于分块和净化的搜索引擎排序算法

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