基于层次分类的页面排序算法
发布时间：2019-07-28 18:11
【摘要】：提出了一个基于层次分类的搜索引擎页面排序算法。该算法通过对页面进行层次化分类进而计算页面之间相关性,根据相关性的不同,对来自不同页面的外部链接赋予不同的权重,从而更公正、有效地计算页面的PageRank值。层次分类体系更合理地反映了页面的自然属性,也为设计更为高效的页面分类算法提供了方便。该算法与PageRank在在线计算复杂度方面完全一样,是非查询关键词相关的算法,能够高效地完成在线搜索,具有良好的可伸缩性。
[Abstract]:A search engine page sorting algorithm based on hierarchical classification is proposed. The algorithm calculates the correlation between pages by hierarchical classification of pages, and gives different weights to external links from different pages according to the different correlation, so as to calculate the PageRank value of pages more fairly and effectively. The hierarchical classification system reflects the natural attributes of the page more reasonably, and also provides convenience for the design of a more efficient page classification algorithm. This algorithm is exactly the same as PageRank in terms of online computational complexity. The non-query keyword related algorithm can efficiently complete online search and has good scalability.
【作者单位】： 广东省电子商务市场应用技术重点实验室 广东商学院计算机科学与技术系
【基金】：广东省自然科学基金资助项目(04009947)
【分类号】：TP301.6
[Abstract]:A search engine page sorting algorithm based on hierarchical classification is proposed. The algorithm calculates the correlation between pages by hierarchical classification of pages, and gives different weights to external links from different pages according to the different correlation, so as to calculate the PageRank value of pages more fairly and effectively. The hierarchical classification system reflects the natural attributes of the page more reasonably, and also provides convenience for the design of a more efficient page classification algorithm. This algorithm is exactly the same as PageRank in terms of online computational complexity. The non-query keyword related algorithm can efficiently complete online search and has good scalability.
【作者单位】： 广东省电子商务市场应用技术重点实验室 广东商学院计算机科学与技术系
【基金】：广东省自然科学基金资助项目(04009947)
【分类号】：TP301.6
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