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Research on an Algorithm of Metasearch Engine Based on Personalized Demand of Users

机译:基于用户个性化需求的元搜索引擎算法研究

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In order to meet the personalized demand of users and help users to be more effective on selecting potentially useful search engines, this paper presented a metasearch engine algorithm that is based on personalized demands of users. According to practical demands of users, different select strategies of metasearch engine algorithm are designed. The experimental results show that selection strategy of the algorithm can reflect some effects by the certain characteristics of the member search engines. So, this algorithm will be widely used in the future.
机译:为了满足用户的个性化需求并帮助用户更有效地选择潜在有用的搜索引擎,本文提出了一种基于用户个性化需求的元搜索引擎算法。根据用户的实际需求,设计了元搜索引擎算法的不同选择策略。实验结果表明,该算法的选择策略可以通过成员搜索引擎的某些特征来反映某些效果。因此,该算法将在未来得到广泛应用。

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