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A Improved PageRank Algorithm Based on Page Link Weight

机译：一种基于页面链路权重的改进的PageRank算法

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摘要

Page sorting has a great meaning to search engines. PageRank algorithm, based on random surfing model, has not fully taken the content of pages into consideration and the probability of links is supposed to be equal. Thus, this will lead to the ignorance of other important information from PageRank algorithm and its values of calculation are difficult to reach high accuracy. According to the analysis of the deficiencies mentioned above, a key property is supposed to be defined: randomization matrix and then proposing an improved algorithm called Pro-PageRank algorithm which does not simply weight the links equally but take the differences of weights into account. It can effectively solve the following problems: outlink pages with high PageRank values and users urgency for needed pages. According to Simulated experimental data, the improved algorithm, Pro-PageRank algorithm, compared with the traditional one, has more accuracy and further improves the quality of page rank so as to meet authority requirements of the page calculation results.
机译：页面排序对搜索引擎具有很大的意义。基于随机冲浪模型的PageRank算法尚未完全考虑页面的内容，链接的概率应该是相等的。因此，这将导致来自PageRank算法的其他重要信息的无知，并且其计算值难以达到高精度。根据上述缺陷的分析，应该定义一个关键属性：随机化矩阵，然后提出一种称为Pro-PageRank算法的改进算法，该算法不简单地重量链接，而是考虑权重的差异。它可以有效解决以下问题：倒置PageRank值的页面和所需页面的用户紧迫性。根据模拟实验数据，改进的算法，Pro-PageRank算法与传统的算法相比，具有更多的准确性并进一步提高了页面等级的质量，以满足页面计算结果的权限要求。

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