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 …
Llm app store analysis: A vision and roadmap
The rapid growth and popularity of large language model (LLM) app stores have created
new opportunities and challenges for researchers, developers, users, and app store …
new opportunities and challenges for researchers, developers, users, and app store …
[HTML][HTML] Users' Perspective on the AI-Based Smartphone PROTEIN App for Personalized Nutrition and Healthy Living: A Modified Technology Acceptance Model …
The ubiquitous nature of smartphone ownership, its broad application and usage, along with
its interactive delivery of timely feedback are appealing for health-related behavior change …
its interactive delivery of timely feedback are appealing for health-related behavior change …
Weighted meta-graph based mobile application recommendation through matrix factorisation and neural networks
Numerous mobile applications (apps) with different functions meet the various needs of
users, but users have to spend a lot of time selecting suitable mobile apps. How to select …
users, but users have to spend a lot of time selecting suitable mobile apps. How to select …
You are how you use apps: user profiling based on spatiotemporal app usage behavior
Mobile apps have become an indispensable part of people's daily lives. Users determine
what apps to use and when and where to use them based on their tastes, interests, and …
what apps to use and when and where to use them based on their tastes, interests, and …
A Fuzzy PID-Incorporated Stochastic Gradient Descent Algorithm for Fast and Accurate Latent Factor Analysis
A stochastic gradient descent (SGD)-based latent factor analysis (LFA) model can obtain
superior performance when performing representation to a high-dimensional and …
superior performance when performing representation to a high-dimensional and …
Effect of overconfidence on product diffusion in online social networks: a multiagent simulation based on evolutionary game and overconfidence theory
X Wei, Q Liao, Y Zhang, G Nie - Complexity, 2022 - Wiley Online Library
The rapid development of online social media has significantly promoted product diffusion in
online social networks (PDOSN). However, prior studies focusing on irrational behavior …
online social networks (PDOSN). However, prior studies focusing on irrational behavior …
SAppKG: Mobile App Recommendation Using Knowledge Graph and Side Information-A Secure Framework
Due to the rapid development of technology and the widespread usage of smartphones, the
number of mobile applications is exponentially growing. Finding a suitable collection of apps …
number of mobile applications is exponentially growing. Finding a suitable collection of apps …
DeepApp: characterizing dynamic user interests for mobile application recommendation
It is extremely difficult to find one app in app stores that exactly meets the needs of users with
the boom in mobile applications nowadays. Although numerous app recommendation …
the boom in mobile applications nowadays. Although numerous app recommendation …
An ADRC-Incorporated Stochastic Gradient Descent Algorithm for Latent Factor Analysis
J Li, Y Yuan - arXiv preprint arXiv:2401.07012, 2024 - arxiv.org
High-dimensional and incomplete (HDI) matrix contains many complex interactions between
numerous nodes. A stochastic gradient descent (SGD)-based latent factor analysis (LFA) …
numerous nodes. A stochastic gradient descent (SGD)-based latent factor analysis (LFA) …