基于多元信息加权协调的超文本分类算法

本文综合利用超文本的各种多元化信息规则，提出一种基于多元信息加权协调的超文本分类算法。该算法在分类时，通过对抽取到的数据集超文本文档中的超文本信息进行加权处理，更好的综合协调地利用了超文本的多元结构化信息。通过三个数据集的综合实验，结果表明，相较于单独利用某种超文本结构信息进行分类的方法，基于多元信息加权协调超文本算法具有较好的性能。

Hypertext Classification Algorithm Based on Co-weighting Multi-information

Hypertext classification algorithm based on co-weighting multi-information is proposed in this paper, in which various multi-information rules of hypertext have been employed. To better use the multiple and structured information of hypertext, the information in the data sets hypertext documents after extraction need weighting during algorithm classification. Experimental results on three different data sets show that the proposed algorithm performs better than using single hypertext information individually.