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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 …
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 …
Recencyminer: mining recency-based personalized behavior from contextual smartphone data
Due to the advanced features in recent smartphones and context-awareness in mobile
technologies, users' diverse behavioral activities with their phones and associated contexts …
technologies, users' diverse behavioral activities with their phones and associated contexts …
[책][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 - 2022 - books.google.com
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 …
including an automated rule-based framework within the broad area of data science and …
[책][B] Mobile information retrieval
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 …
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 …
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 …
applications. One of interesting and useful topic is mining and predicting the users' 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 …
mobile applications (apps) that users have difficulty finding the ones they wish to use in a …
A sequential recommendation for mobile apps: what will user click next app?
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 …
Both users and related developers have increasing requirements to understand the mobile …
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 …
the smartphone. It helps to establish a variety of intelligent personalized services, such as …