As smartphones have become indispensable personal devices, the number of smartphone
users has increased dramatically over the last decade. These personal devices, which are …

A considerable amount of mobility data has been accumulated due to the proliferation of
location-based service. Nevertheless, compared with mobility data from transportation …

Smartphones provide various functions supporting users in their daily lives. However, the
temptation of getting distracted and tuning out is high leading to so-called rabbit holes. To …

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 …

In recent years, predicting mobile app usage has become increasingly important for areas
like app recommendation, user behaviour analysis, and mobile resource management …

Personalized prediction of responses for individual entities caused by external drivers is vital
across many disciplines. Recent machine learning (ML) advances have led to new state-of …

In mobile scenarios, there is a need for general user representations to solve multiple target
tasks. However, there are some challenges in the related research (eg, difficulty in learning …

In recent years, mobile applications (apps) on smartphones have shown explosive growth.
Massive and diversified apps greatly affect user experience. As a result, user mobile app …

Purpose This paper aims to explore the users' cross-app behavior characteristics in mobile
search and to predict users' cross-app behavior using multi-dimensional information …

The success of online social platforms hinges on their ability to predict and understand user
behavior at scale. Here, we present data suggesting that context-aware modeling …