【摘要】 元搜索引擎是建立在独立搜索引擎之上的搜索技术,而Web页面相关度算法是元搜索引擎的核心技术之一.文中在文档价值预测模型(DVPM)的基础上,将Web页面分解为不同的属性,通过属性值的计算来预测Web页面的相关度,给出了相关度的计算公式与评价,进行了相关度算法的实验研究.结果表明,该算法提高了Web页面的准确度.更多还原

【Abstract】 Meta-search engine is a search technique based on some individual search engines. One of the kernel techniques of it is the relevance arithmetic of Web pages. In this paper, based on the Document Value Predicting Model (DVPM), the Web page is separated into some different attributes. Then, by calculating the attribute values, the relevance of the Web page is predicted. The formulas to calculate the relevance are also described and evaluated, followed by relevant experiments. The results show that the proposed arithmetic can improve the veracity of Web pages.更多还原