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Dealing with the Long Tail: Providing Uniformity to Compound Tags

机译:处理长尾:为复合标签提供均匀性

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In using social tags, it has been a challenge to deal with the long tail of the tag distribution. A good portion of tag distribution includes compound tags. Based on the observation that the various forms of compound tags exist in a tag data set, this study tests a way to process various compound tag forms into a uniformed form. The tag uniformity process is introduced with the decomposition algorithm by identifying forms of compound tags. With the tag uniformity process, this study explores the potential of better use of social tags by reducing tag noise and shortening the long tail of the tag distribution. In addition, it is expected that the uniformity process will enhance the effectiveness of the measurements for tag use such as tag frequency. The results demonstrate that the tag uniformity process can successfully shorten the long tail and make the tag frequency precise as a measurement. Although the uniformity process may not solve all the issues related to the long tail, it can be implicated for improving tag analysis and services using tags. The benefits and limitations as well as potential implications of the tag uniformity process for tag analysis and use are discussed.
机译:在使用社交标签时,处理标签分布的长尾是一项挑战。标签分布的良好部分包括复合标签。基于观察到,各种形式的化合物标签存在于标签数据集中,该研究测试了一种方法来处理各种复合标签的形式成均匀形式。通过识别化合物标签的形式,用分解算法引入标签均匀性过程。通过标签均匀性过程,本研究通过减少标签噪声并缩短标签分布的长尾来探讨更好地利用社交标签的可能性。此外,预期均匀性过程将提高标签使用诸如标签频率的测量的有效性。结果表明,标签均匀性过程可以成功缩短长尾并使标签频率精确为测量。虽然均匀性过程可能无法解决与长尾相关的所有问题,但它可以涉及使用标签改善标签分析和服务。讨论了标签分析和使用标签均匀性过程的益处和局限性。

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