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Who's Behind That Website? Classifying Websites by the Degree of Commercial Intent

机译:谁在那个网站后面?根据商业意图对网站进行分类

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Web hosting companies strive to provide customised customer services and want to know the commercial intent of a website. Whether a website is run by an individual person, a company, a nonprofit organisation, or a public institution constitutes a great challenge in website classification as website content might be sparse. In this paper, we present a novel approach for determining the commercial intent of websites by using both supervised and unsupervised machine learning algorithms. Based on a large real-world data set, we evaluate our model with respect to its effectiveness and efficiency and observe the best performance with a multilayer perceptron.
机译:Web托管公司努力提供定制的客户服务,并希望了解网站的商业意图。网站是由个人,公司,非营利组织还是公共机构运营,对网站分类构成了巨大挑战,因为网站内容可能很少。在本文中,我们提出了一种通过使用有监督的和无监督的机器学习算法来确定网站商业意图的新颖方法。基于大型现实数据集,我们评估模型的有效性和效率,并使用多层感知器观察最佳性能。

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