应用竞争问题:如何识别竞争对手应用?

Md. Kafil Uddin, Qiang He, Jun Han, C. Chua
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引用次数: 6

摘要

谷歌Play和Apple Store等应用商店包含大量信息,包括各种应用的描述和评论。它们为应用程序开发人员提供了有价值的信息,帮助他们了解自己的应用程序以及类似的应用程序,以改进他们的应用程序,例如,添加流行的功能或删除不受欢迎的功能。学习这个过程的起点是,根据特定目标应用的功能、受欢迎程度和其他相关方面,确定其竞争对手。考虑到应用的数量和大量的可用信息,对于应用开发者来说,有效地识别竞争对手应用是一项非常具有挑战性的任务。在本文中,我们介绍了一种新的方法来识别给定目标应用程序的竞争对手应用程序,它包括三个主要组成部分。首先,我们确定了应用程序之间竞争的特征因素。然后,基于识别出的竞争因素,我们从应用商店中提取和处理目标应用和同一应用类别中的应用的相关信息。最后,我们根据这些应用在所有竞争因素中的相似性对它们进行聚类,并识别出那些与目标应用和竞争对手应用在同一集群中的应用。我们通过将其结果与(1)谷歌Trends和(2)谷歌search中的相应搜索结果进行比较来评估我们的方法。结果表明,我们的方法在识别竞争对手应用程序方面是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
App Competition Matters: How to Identify Your Competitor Apps?
App stores, such as Google Play and Apple Store, contain abundance of information, including descriptions and reviews of various apps. They provide valuable information for app developers to learn about their own apps as well as similar apps for improving their apps, e.g., adding popular features or removing unpopular features. A place to start this learning process is to identify the competitor apps of a given target app in terms of their features, popularity as well as other relevant aspects. Given the large number of apps and the large amount of information available about these apps, it is a very challenging task for app developers to effectively and efficiently identify competitor apps. In this paper, we introduce a novel approach for identifying the competitor apps of a given target app, which includes three major components. Firstly, we identify the factors that characterise the competition between apps. Then, based on the identified competition factors, we extract and process the relevant information from the app store about the target app and the apps in the same app category. Finally, we cluster the apps based on their similarity across all the competition factors and identify those apps that are in the same cluster as the target app as its competitor apps. We evaluate our approach by comparing its results with corresponding search results in (1) Google Trends and (2) Google Search. The results show that our approach is effective in identifying competitor apps.
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