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首页> 外文会议>International Conference on Multimedia and Ubiquitous Engineering >Scalable Web News Adaptation To Mobile Devices Using Visual Block Segmentation for Ubiquitous Media Services
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Scalable Web News Adaptation To Mobile Devices Using Visual Block Segmentation for Ubiquitous Media Services

机译：可扩展的Web新闻适应移动设备使用视觉块分段用于普遍存在的媒体服务

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摘要

This paper describes an enhanced method of Web content adaptation to mobile devices for online News article provision in ubiquitous environments. Our system exploits a scheme of visual block segmentation for Web pages that filters out unnecessary blocks and extracts useful article information from content blocks. This method resolves the problems of previous approaches to Web content adaptation in which the content transformation to suit to a smaller device is device-dependent and manually-driven. Our method also employs a learning module that is initiated when the user selects to view the full content in the content summary page. As a result of learning, personalization is realized by showing the information for the relevant block at the top of the content list. A series of experiments are performed to evaluate our mobile content adaptation method for a number of well-known Web News sites, and the result of evaluation is satisfactory both in block filtering accuracy and in user satisfaction by personalization.
机译：本文介绍了在普遍存在环境中为在线新闻文章提供的移动设备提供增强的Web内容自适应方法。我们的系统利用用于筛选出不必要的块的网页的可视块分割方案，并从内容块中提取有用的文章信息。该方法解决了先前接近Web内容自适应的问题，其中适合于较小设备的内容转换是依赖于设备的和手动驱动的。我们的方法还采用了一个学习模块，当用户选择在内容摘要页面中查看完整内容时启动。由于学习的结果，通过显示内容列表顶部的相关块的信息来实现个性化。执行一系列实验以评估我们多个众所周知的Web新闻网站的移动内容适应方法，并且评估的结果在块滤波精度和用户满意度下都是令人满意的。

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