Describing Patterns and Disruptions in Large Scale Mobile App Usage Data
نویسندگان
چکیده
The advertising industry is seeking to use the unique data provided by the increasing usage of mobile devices and mobile applications (apps) to improve targeting and the experience with apps. As a consequence, understanding user behaviours with apps has gained increased interests from both academia and industry. In this paper we study user app engagement patterns and disruptions of those patterns in a data set unique in its scale and coverage of user activity. First, we provide a detailed account of temporal user activity patterns with apps and compare these to previous studies on app usage behavior. Then, in the second part, and the main contribution of this work, we take advantage of the scale and coverage of our sample and show how app usage behavior is disrupted through major political, social, and sports events.
منابع مشابه
Understanding Diverse Smarpthone Usage Patterns from Large-Scale Appstore-Service Profiles
The prevalence of smart mobile devices has promoted the popularity of mobile applications (a.k.a. apps). Supporting mobility has become a promising trend in software engineering research. This article presents an empirical study of behavioral service profiles collected from millions of users whose devices are deployed with Wandoujia, a leading Android app store service in China. The dataset of ...
متن کاملUnderstanding Diverse Usage Patterns from Large-Scale Appstore-Service Profiles
Abstract—The prevalence of smart mobile devices has promoted the popularity of mobile applications (a.k.a. apps). Supporting mobility has become a promising trend in software engineering research. This article presents an empirical study of behavioral service profiles collected from millions of users whose devices are deployed with Wandoujia, a leading Android app-store service in China. The da...
متن کاملSovereignty of the Apps: There's more to Relevance than Downloads
The value of mobile apps is traditionally measured by metrics such as the number of downloads, installations, or user ratings. A problem with these measures is that they reflect actual usage at most indirectly. Indeed, analytic companies have suggested that retention rates, i.e., the number of days users continue to interact with an installed app are low. We conduct the first independent and la...
متن کاملUnderstanding Mobile App Usage Patterns Using In-App Advertisements
Recent years have seen an explosive growth in the number of mobile devices such as smart phones and tablets. This has resulted in a growing need of the operators to understand the usage patterns of the mobile apps used on these devices. Previous studies in this area have relied on volunteers using instrumented devices or using fields in the HTTP traffic such as User-Agent to identify the apps i...
متن کاملSmartphone App Categorization for Interest Targeting in Advertising Marketplace
Last decade has witnessed a tremendous expansion of mobile devices, which brought an unprecedented opportunity to reach a large number of mobile users at any point in time. This resulted in a surge of interest of mobile operators and ad publishers to understand usage patterns of mobile apps and allow more relevant content recommendations. Due to a large input space, a critical step in understan...
متن کامل