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Proposed a Related PageRank Algorithm Based on the User's Interest

机译:提出了一种基于用户兴趣的相关PageRank算法

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摘要

In order to improve search engine retrieval quality, using the vector space model is proposed based on the user's interest page pre-classifying and content related PageRank algorithm, the two aspects of the weights to influence of web pages with the PR value. Through the simulation experiment after improved algorithm experimental result, compared with the original algorithm, the improved algorithm precision better than the original algorithm.
机译:为了提高搜索引擎检索质量,基于用户的兴趣页面预先分类和内容相关的PageRank算法提出了使用矢量空间模型,重量的两个方面与PR值的Web页面的影响。通过改进算法实验结果的仿真实验,与原始算法相比,改进的算法精度优于原始算法。

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