E-commerce platforms are becoming a primary destination for individuals to find, compare,
and eventually buy goods. They use machine learning (ML), business intelligence, and …

Accurate estimation of customer lifetime value (LTV), which reflects the potential
consumption of a user over a period of time, is crucial for the revenue management of online …

Customer Life Time Value (LTV) is the expected total revenue that a single user can bring to
a business. It is widely used in a variety of business scenarios to make operational decisions …

Online purchasing has developed rapidly in recent years due to its efficiency, convenience,
low cost, and product variety. This has increased the number of online multi-category e …

Nowadays, customer lifetime value (LTV) plays an important role in mobile game
advertising, since it can be beneficial to adjust ad bids and ensure that the games are …

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

Customer lifetime value (LTV) prediction is essential for mobile game publishers trying to
optimize the advertising investment for each user acquisition based on the estimated worth …

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 …

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

Customer lifetime value (CLV) modeling underpins modern marketing analytics, enabling
the development of tailored customer relationship management strategies based on the …