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Guess the Movie - Linking Facebook Pages to IMDb Movies

机译:猜电影-将Facebook页面链接到IMDb电影

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In Facebook, the set of pages liked by some users represents an important knowledge about their real life tastes. However, the process of classification, which is already hard when dealing with dozens of classes and genres, is made even more difficult by the very coarse information of Facebook pages. Our work originates from a large dataset of pages liked by users of a Facebook app. To overcome the limitations of multilabel automatic classification of free-form user-generated pages, we acquire data also from IMDb, a large public database about movies. We use it to associate with high accuracy a given cinema-related page on Facebook to the corresponding record on IMDb, which includes plenty of metadata in addition to genres. To this aim, we compare different approaches. The obtained results demonstrate that the highest accuracy is obtained by the combined use of different methods and metrics.
机译:在Facebook中,一些用户喜欢的一组页面代表了有关其现实生活品味的重要知识。但是,分类的过程在处理数十种类别和体裁时已经很困难,但由于Facebook页面的信息非常粗糙,分类过程变得更加困难。我们的工作源自Facebook应用程序用户喜欢的大量网页数据集。为了克服对用户生成的自由格式页面进行多标签自动分类的局限性,我们还从IMDb(有关电影的大型公共数据库)中获取数据。我们使用它将Facebook上与电影相关的给定页面高精度地关联到IMDb上的对应记录,该记录除了类型外还包括大量元数据。为此,我们比较了不同的方法。获得的结果表明,通过组合使用不同的方法和指标可获得最高的准确性。

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