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 …

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 …

Multi-behavior recommendations effectively integrate various types of behaviors and have
been proven to enhance recommendation performance. However, existing researches …

Next destination recommendation is a crucial research area for understanding human travel
behavior. However, existing studies often overlook the problem of underfitting, which arises …

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 …

Predicting user click behavior and making relevant recommendations based on the user's
historical click behavior are critical to simplifying operations and improving user experience …

In this study, we propose a novel SeqMF model to solve the problem of predicting the next
app launch during mobile device usage. Although this problem can be represented as a …

This study extends the exploration of ordering apps in the context of coffee shop owners,
specifically focusing on the utilization of popular apps like Grabfood and Foodpanda. With …

In the realm of electronic commerce recommendation systems, the search methodology
assumes a critical role in shaping consumers' purchasing determinations. Against a …

Although human flourishing has been studied in a wide range of fields, very little research
has attempted to examine contributing factors of flourishing with the help of Machine …