一句话：分析 900 个 Android 应用两年排名演化，识别 13 类趋势及影响 Google Play 排名的关键变量，并为开发者提供建议。
移动应用排名直接影响曝光与下载，但其长期演化及影响因素仍不清晰。本文收集 Google Play 中 30 个领域、900 个应用和 4,878,011 条评论，对排名趋势聚类，并用回归与混合效应模型分析发布次数等变量。研究发现 13 类排名趋势，61% 的应用两年内排名下降；发布次数等变量显著解释排名趋势，部分常识变量不显著。新应用可凭借后发优势超过已有应用。最后向 51 名开发者反馈，开发者认为结论有助于提升排名。
When a user looks for an Android app in Google Play Store, a number of apps appear in a specific rank. Mobile apps with higher ranks are more likely to be noticed and downloaded by users. The goal of this work is to understand the evolution of ranks and identify the variables that share a strong relationship with ranks. We explore 900 apps with a total of 4,878,011 user-reviews in 30 app development areas. We discover 13 clusters of rank trends. We observe that the majority of the subject apps (i.e., 61%) dropped in the rankings over the two years of our study. By applying a regression model, we find the variables that statistically significantly explain the rank trends, such as the number of releases. Moreover, we build a mixed effects model to study the changes in ranks across apps and various versions of each app. We find that not all the variables that common-wisdom would deem important have a significant relationship with ranks. Furthermore, app developers should not be afraid of a late entry into the market as new apps can achieve higher ranks than existing apps. Finally, we present the findings to 51 developers. According to the feedback, the findings can help app developers to achieve better ranks in Google Play Store.
DOI 原文 ·
@inproceedings{paperbot4615,
title = {Winning the app production rally},
author = {Ehsan Noei and Daniel Alencar Da Costa and Ying Zou},
booktitle = {FSE},
year = {2018},
doi = {10.1145/3236024.3236044}
}