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Web Page Classification on Child Suitability

机译:儿童适宜性的网页分类

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Children spend significant amounts of time on the Internet. Recent studies showed, that during these periods they are often not under adult supervision. This work presents an automatic approach to identifying suitable web pages for children based on topical and non-topical web page aspects. We discuss the characteristics of children's web sites with respect to recent findings in children's psychology and cognitive sciences. We finally evaluate our approach in a large-scale user study, finding, that it compares favourably to state of the art methods while approximating human performance.
机译:孩子们在互联网上花费大量时间。最近的研究表明,在这些时期,他们往往没有成人监督。这项工作提出了一种自动方法,可以根据局部和非主题网页识别儿童的合适网页。我们在儿童心理学和认知科学中讨论了儿童网站的特征。我们终于在大规模的用户学习中评估了我们的方法,发现它在近似人类性能的同时对现有技术的态度有利地进行比较。

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