ACM HotMobile 2013 poster: extraction algorithm of relationship between smartphone applications for recommendation

Kohei Terazono, Akira Karasudani, Satoshi Iwata, Tatsuro Matsumoto
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Abstract

Users employing smartphones typically combine multiple applications to perform their tasks. It would be possible to be recommended the appropriate applications by acquiring the contexts of users who perform such tasks. And the contexts are composed by the relationship of applications used in the tasks. We present an algorithm that extracts the relationship between applications that the user intentionally uses in combination. At the end of the paper, we report the results of verification tests conducted on this algorithm.
ACM HotMobile 2013海报:用于推荐的智能手机应用关系提取算法
使用智能手机的用户通常会结合多个应用程序来执行任务。通过获取执行这些任务的用户的上下文,可以推荐适当的应用程序。上下文由任务中使用的应用程序的关系组成。我们提出了一种算法来提取用户有意组合使用的应用程序之间的关系。在论文的最后,我们报告了对该算法进行的验证测试结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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