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Foto2Events: From Photos to Event Discovery and Linking in Online Social Networks

机译:Foto2Events:从照片到事件发现以及在线社交网络中的链接

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Online social networking has become the predominant activity in the digital world thanks to multimedia data (mainly photos) sharing (e.g., Photos now represent 93% of the top posts on Facebook). Discovering events where users are involved using their own posts and those shared by their friends would be of great importance. In this paper, we address this issue by providing an original approach able to detect, enrich and also link user's events using photos shared within his online social networks. Using metadata, our approach provides a multi-dimensional gathering of similar photos using their temporal, geographical, and social facets. To validate our approach, we implemented a prototype called Foto2Events and conducted a set of experiments on real and generated data. Results show that our approach works well for various metadata distributions.
机译:多亏了多媒体数据(主要是照片)共享,在线社交网络已成为数字世界中的主要活动(例如,照片现在占Facebook顶部帖子的93%)。发现用户使用自己的帖子以及朋友分享的帖子所涉及的事件将非常重要。在本文中,我们通过提供一种原始方法来解决此问题,该方法能够使用用户在线社交网络中共享的照片检测,丰富并链接用户的事件。通过使用元数据,我们的方法可以使用相似的时间,地理和社会层面对相似照片进行多维收集。为了验证我们的方法,我们实现了一个名为Foto2Events的原型,并对真实和生成的数据进行了一组实验。结果表明,我们的方法适用于各种元数据分布。

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