What Users Care About:A Framework for Social Content Alignment

机译：用户关心的是：社交内容对齐框架

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With the rapid proliferation of social media,more and more people freely express their opinions (or comments) on news,products,and movies through online services such as forums,discussion groups,and microblogs.Those comments may be concerned with different aspects (topics) of the target Web document (e.g.,a news page).It would be interesting to align the social comments to the corresponding subtopics contained in the Web document.In this paper,we propose a novel framework that is able to automatically detect the subtopics from a given Web document,and also align the associated social comments with the detected subtopics.This provides a new view of the Web standard document and its associated user generated content through topics,which facilitates the readers to quickly focus on those hot topics or grasp topics that they are interested in.Extensive experiments show that our proposed framework significantly outperforms the existing stateof- the-art methods in social content alignment.

机译：随着社交媒体的迅速发展，越来越多的人通过论坛，讨论组和微博等在线服务自由地对新闻，产品和电影发表意见（或评论）。这些评论可能涉及不同方面（主题）。），将社会评论与Web文档中包含的相应子主题对齐。在本文中，我们提出了一种新颖的框架，该框架能够自动检测子主题从给定的Web文档中获取信息，并使相关的社会评论与检测到的子主题保持一致。这提供了Web标准文档及其相关的用户通过主题生成的内容的新视图，从而有助于读者快速专注于这些热门主题或掌握大量的实验表明，我们提出的框架在社交内容对齐方面明显优于现有的最新方法。

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《Proceedings of the Twenty-Third international joint conference on artificial intelligence》|2013年|1401-1407|共7页
会议地点 Beijing(CN)
作者
Lei Hou; Juanzi Li; Xiaoli Li; Jiangfeng Qu; Xiaofei Guo; Ou Hui; Jie Tang;
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Dept. of Computer Science and Technology,Tsinghua University,China 100084;

Dept. of Computer Science and Technology,Tsinghua University,China 100084;

Data Analytics Department,Institute for Infocomm Research,Singapore 138632;

Dept. of Computer Science and Technology,Tsinghua University,China 100084;

Dept. of Computer Science and Technology,Tsinghua University,China 100084;

Dept. of Computer Science and Technology,Tsinghua University,China 100084;

Dept. of Computer Science and Technology,Tsinghua University,China 100084;

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正文语种 eng
中图分类人工智能理论;
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