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Identifying the mobile application repertoire based on weighted formal concept analysis

机译:基于加权正式概念分析识别移动应用程序曲目

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摘要

Smartphones are one of the fastest-growing and most popular consumer devices introduced in the last decade, and the media environment is also changing dramatically. However, there is still a lack of research on recognizing smartphones as media and understanding their usage behavior. This study aims to understand smartphones? mobile application usage patterns from a media combination perspective by identifying mobile application repertoire and killer applications based on demographic segmentation. In this study, we propose the Weighted Formal Concept Analysis to specify the preference of mobile applications and identify their repertoires. The preference of mobile application evaluates the following four aspects in combination: relevance, commonlyshared, conformance, and contribution viewpoints. We conducted a case study, which identified the mobile application within-group and across-group repertoires based on the proposed method, and also discovered that mobile repertoire varies with not only age and gender but also their combinations.
机译:智能手机是过去十年中推出的最快增长率最快,最流行的消费设备之一,媒体环境也在急剧变化。但是,仍然缺乏对识别智能手机作为媒体并理解其使用行为的研究。这项研究旨在了解智能手机吗?通过识别基于人口统计分割的移动应用程序reptoIre和杀手应用程序来源应用模式从媒体组合角度来看。在这项研究中,我们提出了加权正式概念分析,以指定移动应用程序的偏好并识别其曲目。移动应用的偏好在组合中评估以下四个方面:相关性,常见,一致性和贡献观点。我们进行了一个案例研究,该案例研究基于所提出的方法确定了集团内部和跨组曲目的移动应用程序,并且还发现移动曲目不仅随着年龄和性别而且它们的组合而异。

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