Smartphone app usage analysis: datasets, methods, and applications
As smartphones have become indispensable personal devices, the number of smartphone
users has increased dramatically over the last decade. These personal devices, which are …
users has increased dramatically over the last decade. These personal devices, which are …
Mobile data science and intelligent apps: concepts, AI-based modeling and research directions
Artificial intelligence (AI) techniques have grown rapidly in recent years in the context of
computing with smart mobile phones that typically allows the devices to function in an …
computing with smart mobile phones that typically allows the devices to function in an …
A survey of app store analysis for software engineering
App Store Analysis studies information about applications obtained from app stores. App
stores provide a wealth of information derived from users that would not exist had the …
stores provide a wealth of information derived from users that would not exist had the …
Context-aware rule learning from smartphone data: survey, challenges and future directions
IH Sarker - Journal of Big Data, 2019 - Springer
Smartphones are considered as one of the most essential and highly personal devices of
individuals in our current world. Due to the popularity of context-aware technology and …
individuals in our current world. Due to the popularity of context-aware technology and …
Enrico: A dataset for topic modeling of mobile UI designs
Topic modeling of user interfaces (UIs), also known as layout design categorization,
contributes to a better understanding of the UI functionality. Starting from Rico, a large …
contributes to a better understanding of the UI functionality. Starting from Rico, a large …
[HTML][HTML] Mining personal data using smartphones and wearable devices: A survey
The staggering growth in smartphone and wearable device use has led to a massive scale
generation of personal (user-specific) data. To explore, analyze, and extract useful …
generation of personal (user-specific) data. To explore, analyze, and extract useful …
SimApp: A framework for detecting similar mobile applications by online kernel learning
With the popularity of smart phones and mobile devices, the number of mobile applications
(aka" apps") has been growing rapidly. Detecting semantically similar apps from a large pool …
(aka" apps") has been growing rapidly. Detecting semantically similar apps from a large pool …
PEVRM: probabilistic evolution based version recommendation model for mobile applications
Traditional recommendation approaches for the mobile Apps basically depend on the Apps
related features. Now a days many users are in quench of Apps recommendation based on …
related features. Now a days many users are in quench of Apps recommendation based on …
Knowledge engineering with big data
In the era of big data, knowledge engineering faces fundamental challenges induced by
fragmented knowledge from heterogeneous, autonomous sources with complex and …
fragmented knowledge from heterogeneous, autonomous sources with complex and …
Mobile app adoption in different life stages: An empirical analysis
The analysis of individuals' current life stages is a powerful approach for identifying und
understanding patterns of human behavior. Different stages imply different preferences and …
understanding patterns of human behavior. Different stages imply different preferences and …