Mobile data science and intelligent apps: concepts, AI-based modeling and research directions

IH Sarker, MM Hoque, MK Uddin… - Mobile Networks and …, 2021 - Springer
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 …

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 …

Recencyminer: mining recency-based personalized behavior from contextual smartphone data

IH Sarker, A Colman, J Han - Journal of Big Data, 2019 - Springer
Due to the advanced features in recent smartphones and context-awareness in mobile
technologies, users' diverse behavioral activities with their phones and associated contexts …

[图书][B] Context-aware machine learning and mobile data analytics: automated rule-based services with intelligent decision-making

I Sarker, A Colman, J Han, P Watters - 2021 - Springer
This book offers a clear understanding of the concept of context-aware machine learning
including an automated rule-based framework within the broad area of data science and …

[图书][B] Mobile information retrieval

F Crestani, S Mizzaro, I Scagnetto - 2017 - Springer
This chapter introduces, in Sect. 1.1, the area of research and development of Mobile
Information Retrieval. In Sect. 1.2 it gives the motivation for this review and explains briefly …

Research issues in mining user behavioral rules for context-aware intelligent mobile applications

IH Sarker - Iran Journal of Computer Science, 2019 - Springer
Context awareness in smart mobile applications is a growing area of study because of its
intelligence in the applications. To build context-aware intelligent applications, mining …

Mining mobile application usage pattern for demand prediction by considering spatial and temporal relations

EHC Lu, YW Yang - GeoInformatica, 2018 - Springer
Recently, researches on smart phones have received attentions because the wide potential
applications. One of interesting and useful topic is mining and predicting the users' mobile …

A sequential recommendation for mobile apps: what will user click next app?

C Pu, Z Wu, H Chen, K Xu, J Cao - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
With the advances in smartphones users install abundant apps to facilitate their daily lives.
Both users and related developers have increasing requirements to understand the mobile …

Mobile app recommendation with sequential app usage behavior tracking

Y Hwang, D Lee, K Jung - Journal of Internet Technology, 2019 - jit.ndhu.edu.tw
The recent evolution of mobile devices and services have resulted in such plethora of
mobile applications (apps) that users have difficulty finding the ones they wish to use in a …

Next-app prediction by fusing semantic information with sequential behavior

C Fang, Y Wang, D Mu, Z Wu - IEEE Access, 2018 - ieeexplore.ieee.org
Next-app prediction is the task of predicting the next app that a user will choose to use on
the smartphone. It helps to establish a variety of intelligent personalized services, such as …