News recommender systems have become an effective manner to help users make
decisions by suggesting the potential news that users may click and read, which has shown …

With the surge in mobile gaming, accurately predicting user spending on newly downloaded
games has become paramount for maximizing revenue. However, the inherently …

The ultimate goal of recommender systems is satisfying users' information needs in the long
term. Despite the success of current recommendation techniques in targeting user interest …

Customer Lifetime Value (CLTV) prediction is a critical task in business applications, such as
customer relationship management (CRM), online marketing, etc. Accurately predicting …

Purpose Although prior research has employed various variables to predict player churn, the
dynamic evolution of the behavioral patterns of players has received limited attention. In this …

Companies across the globe are keen on targeting potential high-value customers in an
attempt to expand revenue, and this could be achieved only by understanding the customers …

Accurate customer lifetime value (LTV) prediction can help service providers optimize their
marketing policies in customer-centric applications. However, the heavy sparsity of …

We present novel preference learning approaches for sorting problems with multiple
temporal criteria. They leverage an additive value function as the basic preference model …

Full complexity machine learning models, such as the deep neural network, are non-
traceable black-box, whereas the classic interpretable models, such as linear regression …

This study assessed how matchmaking and match results affect player churn in a multiplayer
competitive game. In competitive games, matchmaking is crucial in gathering players with …