Smartphone app usage analysis: datasets, methods, and applications

T Li, T Xia, H Wang, Z Tu, S Tarkoma… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
As smartphones have become indispensable personal devices, the number of smartphone
users has increased dramatically over the last decade. These personal devices, which are …

Characterizing Internet card user portraits for efficient churn prediction model design

F Wu, F Lyu, J Ren, P Yang, K Qian… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Cellular Internet card (IC) as a new business model emerges, which penetrates rapidly and
holds the potential to foster a great business market. However, with the explosive growth of …

What and how long: Prediction of mobile app engagement

Y Tian, K Zhou, D Pelleg - ACM Transactions on Information Systems …, 2021 - dl.acm.org
User engagement is crucial to the long-term success of a mobile app. Several metrics, such
as dwell time, have been used for measuring user engagement. However, how to effectively …

Form to Flow: Exploring Challenges and Roles of Conversational UX Designers in Real-world, Multi-channel Service Environments

J Heo, U Lee - Proceedings of the ACM on Human-Computer …, 2023 - dl.acm.org
Conversational agents are widely used in today's multi-channel service environments.
However, little is known regarding the challenges faced by user experience (UX) designers …

Automatic Macro Mining from Interaction Traces at Scale

F Huang, G Li, T Li, Y Li - Proceedings of the CHI Conference on Human …, 2024 - dl.acm.org
Macros are building block tasks of our everyday smartphone activity (eg," login", or" booking
a flight"). Effectively extracting macros is important for understanding mobile interaction and …

Task-optimized user clustering based on mobile app usage for cold-start recommendations

B Liu, B Bai, W Xie, Y Guo, H Chen - Proceedings of the 28th ACM …, 2022 - dl.acm.org
This paper reports our recent practice of recommending articles to cold-start users at
Tencent. Transferring knowledge from information-rich domains to help user modeling is an …

Sti: Turbocharge nlp inference at the edge via elastic pipelining

L Guo, W Choe, FX Lin - Proceedings of the 28th ACM International …, 2023 - dl.acm.org
Natural Language Processing (NLP) inference is seeing increasing adoption by mobile
applications, where on-device inference is desirable for crucially preserving user data …

Drivers of consumer trust in mHealth apps among young consumers: a socio-technical approach

N Rai, A Srivastava - Young Consumers, 2024 - emerald.com
Purpose This study aims to examine the factors influencing trust toward mobile health
applications (mhealth apps) among young consumers. By building on the socio-technical …

Publishing asynchronous event times with pufferfish privacy

J Ding, A Ghosh, R Sarkar, J Gao - 2022 18th International …, 2022 - ieeexplore.ieee.org
Publishing data from IoT devices raises concerns of leaking sensitive information. In this
paper we consider the scenario of publishing data on events with timestamps. We formulate …

Ian: Interpretable attention network for churn prediction in lbsns

L Chen, Y Chen, YD Kwon, Y Kang, P Hui - Proceedings of the 2021 …, 2021 - dl.acm.org
With the rise of Location-Based Social Networks (LBSNs) and their heavy reliance on User-
Generated Content, it has become essential to attract and keep more users, which makes …