Methods and Systems for Ranking Mobile Application
Date Issued
2015
Date
2015
Author(s)
Liu, Chun-Yu
Abstract
In this decade, the popularity of the mobile Internet and the smart phones continue significant growth trend, because the immediacy, connectivity and convenience of the smartphones that are making many changes for the mobile internet user’s behavior, such easily installing/uninstalling the mobile applications (Apps) from the apps stores. Thus apps installing smartphones have already become necessities in daily life. There are many popular apps stores in the world, for example, Google Marketplace and Apple AppStore are the most well-known apps markets. The convenience of smartphone also brings a great change in the apps ecosystem, the downloading ratio of apps, the number of apps users and apps developers are significant increasing in recent years. How to market apps is becoming a critical and large part of mobile internet business. In order to market effectively, to become top-rated marketing apps is the best and the effective approach for the most apps developers. However, apps marketing is hard, the apps ranking and searching strategies are controlled and manipulated by the apps markets. There are few article examining the app ranking system, however the mobile app monetization strategy is dominating the entire mobile internet, for example, the revenue of apps reaches more than $38 billion in 2015. In this paper, we propose a method to calculate the popularity of mobile applications. We think that no matter how popular they used to be, they own their recession. Therefore, it should not rank apps only by amount of downloads but consider the decays. It can avoid some situation that some applications used to be popular and earned lots of downloads, but actually not users’ favor now. We collect the app data in Google Play store to make statistics, observe the change of downloads. In the experiment, we found most applications exist decay situation in volume growth. And different category of applications have their own decay velocities. This is a great analysis to developer of mobile applications, they can use to predict the downloads. App store can also calculate the real popularity.
Subjects
app market
mobile
application
ranking system
crawler
Type
thesis
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