Paper Info
Title
Voting with Their Feet: Inferring User Preferences from App Management Activities.
Abstract
Smartphone users have adopted an explosive number of mobile applications (a.k.a., apps) in the recent years. App marketplaces for iOS, Android and Windows Phone platforms host millions of apps which have been downloaded for more than 100 billion times. Investigating how people manage mobile apps in their everyday lives creates a unique opportunity to understand the behavior and preferences of mobile users, to infer the quality of apps, and to improve the user experience. Existing literature provides very limited knowledge about app management activities, due to the lack of user behavioral data at scale. This paper takes the initiative to analyze a very large app management log collected through a leading Android app marketplace. The data set covers five months of detailed downloading, updating, and uninstallation activities, involving 17 million anonymized users and one million apps. We present a surprising finding that the metrics commonly used by app stores to rank apps do not truly reflect the users' real attitudes towards the apps. We then identify useful patterns from the app management activities that much more accurately predict the user preferences of an app even when no user rating is available.
Year
DOI
Venue
2016
10.1145/2872427.2874814
WWW
Keywords
Field
DocType
Mobile apps, App management activities, Behavior analysis
World Wide Web,User experience design,Internet privacy,Android (operating system),Voting,Computer science,Upload,Phone,Behavioral data,Mobile deep linking,Mobile apps
Conference
Citations 
PageRank 
References 
10
0.48
20
Authors
7
Name
Order
Citations
PageRank
Huoran Li1835.52
Wei Ai2534.44
xuanzhe liu316713.94
Jian Tang4132259.93
Gang Huang51223110.80
Feng Feng6814.06
Qiaozhu Mei74395207.09